diff --git a/docs/serviceTemplates/README.md b/docs/serviceTemplates/README.md
index da37c18b8..7921c147f 100644
--- a/docs/serviceTemplates/README.md
+++ b/docs/serviceTemplates/README.md
@@ -28,9 +28,32 @@ Templates are validated against `ServiceTemplateSchema`
 | `image` + exactly one of `tag` / `checksum` / `dockerfile` | Image spec (`dockerfile` triggers a build and is gated per daemon by `allowImageBuild`)                          |
 | `exposedPorts`                                             | Container ports forwarded to host ports and returned as service endpoints                                        |
 | `command` / `entrypoint`                                   | Docker CMD / ENTRYPOINT overrides                                                                                |
+| `commandFile`                                               | Path to a script, resolved relative to this directory and inlined as `command[0]` at load time (mutually exclusive with `command`) |
 | `envVars`                                                  | Fixed operator-set env vars (values never returned to callers)                                                   |
-| `userConfigurableEnvVars`                                  | Env vars the consumer supplies via ECIES-encrypted `userData` (optional regex `validation`, `sensitive` UI hint) |
+| `userConfigurableEnvVars`                                  | Env vars the consumer supplies via ECIES-encrypted `userData` (optional regex `validation`, `sensitive` UI hint, `required` hint — advisory, never enforced node-side) |
 | `requiredResources` / `recommendedResources`               | Gate/score environment selection (`min` is enforced at `SERVICE_START`)                                          |
+| `workflows`                                                 | Selectable graphs for UI-driven templates; each entry is `id` / `name` / `file` (a path to the graph JSON, resolved relative to this directory and inlined into `graph` at load time) |
+
+### Catalogue metadata (services vs bundles)
+
+Optional, purely descriptive fields. They change nothing about how the container runs —
+they travel to clients through the `getServiceTemplates` sanitizer and only affect how the
+entry is presented in a catalogue. A template that omits all of them is a plain **service**.
+
+| Field      | Meaning                                                                                                          |
+| ---------- | ---------------------------------------------------------------------------------------------------------------- |
+| `kind`     | `service` (bare app, the default when absent) or `bundle` (the same app whose command pre-downloads a curated model set) |
+| `service`  | Bundles only, **required on them**: `id` of the service template this is a variant of (may not exist on this node) |
+| `outcome`  | Bundles only: the one concrete thing this gets done, one sentence                                                 |
+| `category` | One of `image` / `video` / `llm` / `serving` / `notebook` / `embeddings` / `app`                                  |
+| `includes` | Bundles only: manifest of what the command downloads — `name`, `kind` (`model` / `workflow` / `customnode` / `other`), optional `sizeGb`, `repoId`, `url`. Display metadata; nothing here is fetched or verified by the node |
+
+Keep `includes` in step with what the script actually downloads: clients use its length as
+the denominator for a "preparing models — N of M" progress line, driven by `[models]`
+markers on the container's stdout (`downloading <name>` / `ready: <name>` /
+`already present: <name>` / `WARNING: could not download <name>` / `bundle complete`). The
+markers are a convention, not a protocol — a script that prints none simply shows no
+progress.
 
 ## Templates in this folder
 
@@ -101,6 +124,331 @@ so no `command` override is needed. Bundles ComfyUI-Manager for installing check
 custom nodes from the UI; `HF_TOKEN` / `CIVITAI_TOKEN` are optional user env vars for gated
 downloads. ~10 GB VRAM for SDXL.
 
+### `ltx-video-ugc-product.json` — ComfyUI, LTX-2.3 product video (GPU)
+
+A product photo becomes a 9:16 vertical clip (720×1280, 5 s) with camera motion and ambient
+audio, using the fixed workflow `workflows/ocean_ugc_product.json`. Needs a CUDA GPU with
+48 GB+ VRAM.
+
+Pick a persistent-storage bucket: it holds ComfyUI's whole base directory, so the ~38 GiB
+weight set downloads only on the first launch, and clips are written to the bucket root where
+the storage API's `listFiles` (top-level files only) can see them. Without a bucket everything
+goes to `/tmp` and is lost on stop.
+
+### `ltx-video-ugc-multishot.json` — ComfyUI, LTX-2.3 multishot UGC reel (GPU)
+
+Same image, bucket behavior and **the same generator** as the product template — both
+workflows embed the identical `Image to Video (LTX-2.3)` subgraph (22B dev fp8 + distilled
+LoRA, base pass at 360×640, `LTXVLatentUpsampler`, then a refine pass at 720×1280), so shot
+quality matches. It builds a vertical reel one 720×1280 / 5 s shot at a time. Ships two
+workflows:
+
+- `workflows/ocean_ugc_multishot.json` — renders one shot per Run.
+- `workflows/ocean_ugc_assemble.json` — concatenates rendered shots into one reel.
+
+Three inputs, following what the reference-image tools converged on: a **first frame**
+(optional — a character photo; with none, flip *No character image* and the style prompt
+builds the character instead), a **style box** holding everything that must not change
+between shots (who the character is, wardrobe, room, lighting, palette, camera look), and a
+**scene box** holding only what does (action, camera move, dialogue, ambient sound). Keeping
+the style box byte-identical across runs is what holds the reel together — so it is a
+separate box from the scene text rather than something you retype and drift.
+
+Click **Run** for a clip, edit the scene box, Run again. Clips save to the bucket root with
+ComfyUI's own save counter — `shot_00001…`, `shot_00002…` — so re-takes never overwrite and
+you pick the good ones at assembly time.
+
+**Frame chaining.** Every run also drops that clip's last frame beside it as
+`lastframe_…png`. Refresh, pick it in the image slot, and the next shot starts exactly where
+the last one ended — identity carried in pixels rather than in prose, which is what the
+reference-image tools rely on and what text-only character descriptions cannot do.
+
+**Hard cuts.** The *Shot start* dial controls how literally that image is taken. It drives
+the `strength` of both `LTXVImgToVideoInplace` passes, promoted out of the subgraph: the
+refine pass directly, the base pass through `a * 0.7` so the dial at **1.0** reproduces the
+strengths the graph shipped with (1.0 refine / 0.7 base) exactly. At **1.0** frame 0 *is* the
+image and the take continues seamlessly. Around **0.35** the image only guides look and
+character while the model composes a new frame — a hard cut to a new scene with the same
+face and wardrobe. The separate *No character image* toggle still bypasses the image
+entirely (`Switch to Text to Video?` inside the subgraph) for a shot built from the prompt
+alone.
+
+Three ways to start a shot, then: continue it, cut to it, or generate it fresh.
+
+Mechanically: the generator subgraph exposes its decoded frames as a second `IMAGE` output
+alongside `VIDEO`; `GetImageSize` → `a - 1` → `ImageFromBatch` takes the final frame and
+`SaveImage` writes it. It costs one PNG per run and needs no interaction — and because the
+bootstrap points ComfyUI's `--input-directory` and `--output-directory` at the same bucket
+root, the PNG shows up in `LoadImage`'s dropdown with no copying.
+
+Once every shot looks good, switch to the **Assemble reel** workflow, pick the clips in its
+`LoadVideo` slots, bypass the slots you don't need, and Run — it concatenates them into one
+clip inside ComfyUI, no external editor needed.
+
+**Voice.** LTX builds each clip's audio from a fresh `LTXVEmptyLatentAudio` conditioned only
+on the text — there is no speaker embedding, so a spoken line is a different person on every
+cut and no amount of prompting locks it. Frame chaining carries the face; nothing carries the
+voice.
+
+Assemble concatenates the clips' own audio, which keeps ambience and picture in sync, then
+runs the stitched track through **voice conversion** — the same thing dubbing pipelines do.
+`UnifiedVoiceChangerNode` remaps every line to one reference speaker while leaving the words,
+their timing and the room tone alone. That is why conversion beats dubbing a voiceover over
+the footage: the phonemes never move, so ambience survives and the lips still match. Upload a
+few seconds of clean speech as the reference voice; `refinement_passes` 1 is usually right
+(above ~5 it distorts) and `max_chunk_duration` bounds VRAM, rejoining chunks with
+timing-preserving concatenation.
+
+Scripting still helps and costs nothing: dialogue in one or two shots, action and ambience in
+the rest, means fewer conversions to get right.
+
+If the voice nodes load red, the pack failed to install — delete both and wire the last
+`AudioConcat` straight into `CreateVideo`, which is the plain stitched audio the workflow
+used before. The node's own how-to says so too.
+
+### `minimax-h3-video-ugc-multishot.json` — ComfyUI, MiniMax H3 UGC reel (GPU)
+
+Same image and bucket behavior as the LTX templates, but a different generator — MiniMax H3
+(open-weights, int8) — and a different unit of work: **one Run produces ~30 s with six shots and
+one consistent character**, versus LTX's one continuous take per Run. Needs a CUDA GPU; see
+**Hardware** below — it is built for one 80 GB+ card (H200/H100 class), which holds the whole
+chain resident, and 24 GB still runs it at a lower resolution. Ships two workflows:
+
+- `workflows/ocean_h3_ugc_multishot.json` — one Run, two chained beats, ~30 s out.
+- `workflows/ocean_h3_ugc_assemble.json` — concatenates up to 8 rendered clips into one reel.
+
+**Native audio, no voice-conversion pass.** H3 generates voice, room tone and music in the
+same forward pass as the video, so there is no separate TTS step and nothing analogous to the
+LTX templates' `UnifiedVoiceChangerNode` pass. The bootstrap's TTS-Audio-Suite install is gated
+on the installed graph containing `UnifiedVoiceChangerNode`; this workflow never does, so the
+install never runs for this template — no custom node pack rides along.
+
+**Two chained stages, not two Runs.** H3 caps at 15 s per generation, so 30 s needs two passes.
+The graph chains them. Beat 1 is **FL2VA**, the only mode whose `first_frame` literally becomes
+frame 0, so the user's photo opens the video. Beat 2 is **Ref2VA**, the only mode that takes a
+reference *video* — which is what carries face, wardrobe, room, camera style and voice into the
+second half. Chaining beats two manual Runs because `ref_video_0` is typed `IMAGE` and
+`ref_video_audio_0` is `AUDIO`: beat 1's `VAEDecode` / `VAEDecodeAudio` feed beat 2 **directly**,
+with no file, no re-encode and strictly higher fidelity than referencing a saved MP4. ComfyUI
+caches by input hash, so once beat 1 is good, editing only beat 2's text leaves beat 1's subtree
+untouched and it is not recomputed.
+
+H3 truncates an over-long reference batch **from the start** (`frames[:frame_count]`), so a raw
+pass-through would reference beat 1's opening rather than its end. Beat 2 slices the tail
+explicitly: `GetImageSize` → `ComfyMathExpression("a - 72")` → `ImageFromBatch(length 72)` for
+the frames, and `TrimAudioDuration(start_index -3, duration 3)` for the audio. 72 frames is 3 s
+at 24 fps, inside H3's documented 2–15 s reference window and far cheaper than referencing all
+362 — reference tokens ride every sampling step. Both values are derived rather than pinned
+(the frame index from the actual batch size, the audio offset from the end of the clip), so
+changing the duration widget cannot break the slice.
+
+**The seam is a hard cut.** 15 s is the model's ceiling per pass and no wiring changes that.
+Beat 2 is a new generation that *references* beat 1, not a continuation of the same take, so the
+join at 00:15 is a hard cut — same person, same room, same voice, new camera setup. The how-to
+note says to write beat 2 as a deliberate cut, which reads as editing rather than as a glitch.
+
+**One boolean, and it really does skip beat 2.** `Second beat — 30 s total` drives two
+`ComfySwitchNode`s (video and audio) plus the last-frame picker. `ComfySwitchNode` is **lazy**,
+so `false` means the `ImageBatch` / `AudioConcat` branch never evaluates and **beat 2 never runs
+at all** — no ref2va checkpoint loaded, no second sampling pass. That is the fast-iteration
+path: a 15 s beat in about half the time. The `SaveImage` last-frame output hangs off the
+*switched* stream for the same reason; wiring it straight to beat 2 would make it an output
+dependency and force the second pass even with the boolean off.
+
+**Four prompt boxes, one per contract.** H3 mandates this section order:
+
+    subject_definitions → summary → retention_analysis →
+    detailed_description → overall_soundscape → non_diegetic_music
+
+but the two modes do not take the same sections, so the boxes split by *stage* as well as by
+set-once/per-beat:
+
+| Box | When | Sections | Used by |
+|---|---|---|---|
+| **A · Cast & references** | set once | `subject_definitions` | beat 2 |
+| **B · Beat 1** | per beat | `integrated_multimodal_description` | beat 1 |
+| **C · Beat 2** | per beat | `summary`, `retention_analysis`, `detailed_description` | beat 2 |
+| **D · Audio & music** | set once | `overall_soundscape`, `non_diegetic_music` | both |
+
+Two `StringFormat` nodes join them, one per stage, each a pure join because every section label
+is already written literally in its box. Beat 1's `f_string` bakes in the base guide's fixed
+I2VA instruction line (`For the target video, at 0.00 seconds …`), which is constant and so gets
+no box, then `{a}` = B and `{b}` = D. Beat 2's is `{a}\n\n{b}\n\n{c}` = A, C, D, which lands all
+six sections in the mandated order. `retention_analysis` is the section actually holding the
+character's face steady; it names the chained tail as `<Video 1>` and never uses `(Sx)`, which
+the guide forbids in that section.
+
+The shipped seed is a worked skincare-UGC example. Box B's and box C's **bodies are 350–500
+words each** — that range is the guide's figure for the body field
+(`integrated_multimodal_description` / `detailed_description`), not for the whole prompt, and an
+under-written body is the main cause of identity drift. Each body opens `Live-action, cinematic`
+and carries three timecoded shots: `[Shot 1]` with no timestamp, then `[Shot 2] At 00:05.000,`
+and `[Shot 3] At 00:10.000,`. Camera moves use the closed vocabulary — motion type + amplitude +
+speed, with medium amplitude and normal speed left unstated.
+
+**Two subgraphs, 31 canvas nodes.** Everything that is plumbing rather than a decision lives in
+`Beat 1 · FL2VA (starts from your photo)` and `Beat 2 · Ref2VA (carries the character forward)`.
+Each holds its own `UNETLoader`, `CLIPLoader`, both `VAELoader`s, three bypassed device-placement
+nodes on those loaders (see **Hardware**), its H3 conditioning node, the sampler chain and the
+decoders; beat 2 adds the tail slicer and the final-frame extractor. The
+loaders are duplicated on purpose — ComfyUI caches loaded models by filename, so the duplicates
+cost no VRAM and each stage stays self-contained. The canvas itself is the four prompt boxes,
+the reference loaders, the shared `Controls` panel, the two instances, the boolean and its
+switches, `CreateVideo` / `SaveVideo` / `SaveImage`.
+
+**One control panel, both beats.** Resolution, beat length, steps and seed are single canvas
+nodes wired into `width` / `height` / `length` boundary inputs on both subgraph instances, into
+both `BasicScheduler.steps` and into both `RandomNoise.noise_seed`. They used to be duplicated
+inside each subgraph and promoted twice, which was a real bug rather than clutter: nothing kept
+the two `ResolutionSelector`s in step, and if they disagreed the joining `ImageBatch` (core,
+`image1` + `image2`) rescaled beat 2 to beat 1's dimensions — silent quality loss, no error.
+Duration had the same shape of problem, two `PrimitiveFloat`s feeding two frame-grid
+expressions. One seed for both stages is correct, not a collision: the stages take different
+prompts and different conditioning, so they never render the same clip, and a single seed makes
+a whole Run reproducible while you iterate. `ref_image_size` is the only widget still promoted
+onto an instance (beat 2's), because it is genuinely stage-2-specific — beat 1's `proxyWidgets`
+is now `[]`.
+
+**References ship bypassed, and that is safe.** Only `<Picture 1>` (the subject) is active — it
+is frame 0 of beat 1 *and* reference image 0 of beat 2, so one photo decides the face.
+`<Picture 2>` (product), `<Picture 3>` (location), `<Video 2>` (style/motion) and `<Audio 1>`
+(voice lock) are `mode: 4`. All four reference autogrows are `min: 0`, so an unwired socket is
+natively valid and needs no guard. They are stacked in one column under the group
+`Optional references — select a node and press Ctrl+B to toggle`, with `<Picture 1>` in its own
+`Subject — required` group above them so it never reads as optional. Real on/off switches are
+not buildable here with core nodes: `ComfySwitchNode` requires **both** `on_false` and `on_true`
+(both `required` `COMFY_MATCHTYPE_V3`) and there is no core way to synthesize an empty
+IMAGE/AUDIO for the off branch, while `ComfySoftSwitchNode`, which does take optional branches,
+is absent from ComfyUI 0.32.0. Feeding a blank or 1×1 image would be worse than bypass — the
+model would take it as a real reference. So bypass stays the mechanism and the group title says
+so. The external video is `<Video 2>`, not `<Video 1>`, because
+`ref_video_0` is reserved for the automatic chain — tags follow connection order and the node
+titles match what the user types in the prompt. H3's limits across all of them: **≤9 images ·
+≤3 videos (2–15 s each, ≤15 s total) · ≤3 audio · ≤12 files total.**
+
+**No turbo LoRA.** The 4-step turbo LoRA is about 2.5x faster but clips and noises the audio
+path, which is this template's headline feature, so it is not installed and full-step (20-step)
+sampling is the only shipped path — H3's built-in 12-video / 3-audio sigma-shift defaults, which
+the official templates rely on, apply.
+
+**Sampling and size.** `res_multistep` at 20 steps with the **`beta`** scheduler — Comfy's own
+R2V note is that beta and normal outperform simple on reference-heavy prompts, which both beats
+are by design. `ref_image_size` is `max`, because UGC lives on face and product-label fidelity.
+Default size is **608x1056 at 0.6 MP / 9:16, 24 fps** — chosen so the first Run finishes
+quickly; 0.97 MP gives 768x1344, 15 s per beat, which the frame-grid
+expression lands on length 362 — the top of H3's trained 124–362 range. 0.97 rather than 1.0
+because the node's formula (`round(ratio * sqrt(mp*1024*1024/(w*h)) / 32) * 32`) turns 1.0 MP
+into 768x1376, one 32 px step past H3's documented 768x1344 cap; 0.97 lands on the cap exactly.
+Steps ship at 15, the practical floor below which quality drops noticeably, with 20 for a final
+render. Sampling cost is dominated by latent tokens — `(w/16) * (h/16) * video_latent_t`, 431,424
+at this size — and attention is quadratic in them, so shorter beats and lower megapixels are the
+two levers that actually move the clock.
+
+**fps is a model constant, not a setting.** `CreateVideo.fps` is a required FLOAT whose ComfyUI
+default is 30.0, but H3 generates at exactly 24 and the frame-grid expression already hard-codes
+`a * 24`, so a wrong value desyncs audio from picture. The node ships at 24 and is titled
+`Join beats — 24 fps (H3 is fixed at 24, do not change)` rather than promoted into the control
+panel, and the how-to note repeats the sentence.
+
+**Hardware.** Weights total 59.1 GB (19.5 + 19.5 + 14.6 + 4.9 + 0.6) and the chained design
+loads both checkpoints per Run, so one 80 GB+ card — an H200 at 141 GB, or an H100 — holds the
+whole chain resident and offloads nothing, which is what the native-canvas default assumes. 24 GB still
+works at 0.4 MP but offloads heavily and swaps checkpoints mid-Run. GPU class matters directly
+here and CPU cores do not — sampling is GPU-bound — which is why the `gpu` resource carries the
+guidance in its `description` (`gpu` is a discrete count, not a size, and `ServiceTemplateSchema`
+is `.strict()`, so there is no VRAM field to invent). `ram` is `min` 128 / `recommended` 256 GB:
+weights stream through host memory on every load, and `--highvram` trades host RAM for keeping
+them on the card.
+
+**`CLI_ARGS`.** The bootstrap's last line already ends `… --port 8188 ${CLI_ARGS:-}`, but
+template `envVars` never reach a service container — only `userConfigurableEnvVars` do, through
+`userData` — `--highvram` is applied automatically: before `exec`, the script reads the card's total VRAM from
+`nvidia-smi` and `du -sm` of the models directory, and adds the flag when VRAM covers the weights
+with 3/2 headroom (an H200 with H3's 59 GB set qualifies; a 48 GB card does not). It logs the
+decision. The template deliberately exposes no flag input: that decision needs the card and the weight set,
+both of which the script can see and the launching user cannot. The shared `${CLI_ARGS:-...}` hook
+stays in the script for operators who copy it, but no template declares the variable.
+
+**One GPU is booked on purpose.** `gpu` is `min` 1 / `recommended` 1, and the dashboard books
+`recommended` floored at `min`, so a launch takes exactly one card. Asking for two would bill a
+second device that this workflow leaves idle. Core
+ComfyUI has no tensor parallelism: one sampling pass runs on one device. Its CFG-split node
+(`MultiGPU_WorkUnits`) distributes *conditionings*, and H3 is CFG-distilled, so `BasicGuider`
+hands it a single conditioning and the second device gets nothing. Beats cannot be split either,
+since beat 2 consumes beat 1's frames. What multi-GPU core ComfyUI does have is *placement*, so
+each subgraph carries a `SelectCLIPDevice` and two `SelectVAEDevice` nodes (core,
+`comfy_extras.nodes_multigpu`) wired as passthroughs on the text-encoder and VAE loaders. They
+ship `mode: 4` on `default`, which is a plain passthrough, so today the graph behaves exactly as
+it did without them. They earn their place on something like 2×24 GB: un-bypass the text-encoder
+one and set it to `gpu:1` and the 14.6 GB encoder stops evicting the diffusion model. `default`
+is hard-coded rather than `gpu:1` because `gpu:1` only appears in the combo options on a machine
+that actually has two cards, and a value absent from the options makes the graph invalid. Using
+them means raising `recommended` on the `gpu` resource to 2 in your copy of the manifest — the
+booked count is pinned by the template, not chosen at launch.
+
+**A third or fourth beat needs no new wiring.** With the memory ceiling gone, run the multishot
+workflow again with the emitted `lastframe_….png` loaded into `<Picture 1>`, then concatenate the
+beats in the `Assemble reel` workflow. Building a third stage into the graph would triple the
+prompt boxes for something the two-beat chain plus a re-run already does.
+
+Pick a persistent-storage bucket on launch: it holds ComfyUI's whole base directory, and
+without one the roughly 59 GB of weights (two 19.5 GB checkpoints, a 14.6 GB text encoder,
+video and audio VAEs) re-downloads every launch and is discarded on stop; with
+a bucket selected, beat and reel clips land in the bucket root where the storage API's
+`listFiles` can see them.
+
+## The shared bootstrap (`comfyui-ugc-bootstrap.sh`)
+
+All three templates inline this script via `commandFile`. It runs ComfyUI from the image's
+read-only bundle with `--base-directory` pointed at the bucket, bypassing the image entrypoint,
+which writes to `/root/ComfyUI` and fails wherever the container is not uid 0.
+
+The workflow arrives as userData (`COMFY_WORKFLOW_ID` + gzipped `COMFY_WORKFLOW`) and is
+installed at `custom_nodes/<id>/example_workflows/<id>.json`, which ComfyUI serves at
+`/api/workflow_templates/<id>/<id>.json` — so `?template=<id>&source=<id>` deep-links it.
+`source` must name the module; `source=all` only searches ComfyUI's own templates. It is also
+copied into `user/default/workflows/` so it appears in the Workflows sidebar. For a template
+with more than one `workflows[]` entry, `COMFY_WORKFLOW_ID` — and so the weight download and
+the deep link — always comes from the first entry that carries a `graph`, so that entry must
+stay first.
+
+Example inputs follow the same graph-driven idea as the weights. The seeder walks the installed
+graph for `LoadImage` / `LoadAudio` / `LoadVideo` nodes and fills the input directory so the first
+Queue works with no upload. It resolves each filename against, in order, a per-node
+`properties.inputUrl` the graph carries itself, the installed `comfyui_workflow_templates` package,
+and finally Comfy-Org's `input/` directory. `inputUrl` is https-only and the write path still comes
+from the widget's basename, so a template can ship an asset from anywhere without widening where
+bytes land; a failed fetch is non-fatal. Note some image CDNs reject a bare urllib request, so the
+fetch identifies itself with a User-Agent.
+
+Weights are not listed here: the script downloads the HuggingFace URLs carried by the installed
+graph itself, so each template fetches only what it loads and a new workflow needs no change
+here. Each URL is routed into the matching `models/` subdirectory by pattern-matching its path —
+`checkpoints`, `text_encoders`, `loras`, `latent_upscale_models`, plus `diffusion_models` and
+`vae` for the MiniMax H3 template's weights. A bare `*[Ll]ora*` arm sits just before the
+catch-all default of `checkpoints`, because a LoRA is not always published under a `/loras/`
+path — the MiniMax H3 turbo LoRA, for instance, sits at its repo root, and without that arm it
+would land in `checkpoints` and its loader node would show red. No template ships that LoRA
+today; the arm is what lets you add one to a graph without touching this script. A template's
+`envVars` cannot drive this —
+nothing merges them into a service container (`SERVICE_START` has no template id; the container
+env comes only from `userData`).
+
+Custom nodes follow the same graph-driven rule. The script installs
+[TTS-Audio-Suite](https://github.com/diodiogod/TTS-Audio-Suite) — for the assemble workflow's
+voice conversion — only when an installed graph mentions `UnifiedVoiceChangerNode`. The grep
+covers *every* workflow the template installs, not just the deep-linked one, so
+`ltx-video-ugc-multishot` pays for the install on account of its assemble workflow even though
+its generator never mentions the node. `ltx-video-ugc-product` skips it because it ships one
+workflow that has no voice conversion, and `minimax-h3-video-ugc-multishot` skips it because
+H3 generates the voice natively and its assemble workflow is a plain stitcher. The clone lands
+in the bucket's `custom_nodes`, but pip
+installs into the container and is lost on stop, hence the unconditional reinstall on every
+launch; it is cheap because `XDG_CACHE_HOME` puts pip's wheel cache in the bucket too. It
+installs into the container's own site-packages rather than `--target` + `PYTHONPATH`: a
+second `numpy`/`torch` ahead of the container's would break ComfyUI itself. Every step is
+non-fatal — escrow is already claimed by then, and the video workflows need none of it.
+
 ### `automatic1111.json` — Stable Diffusion WebUI (A1111) (GPU)
 
 The classic AUTOMATIC1111 UI (`universonic/stable-diffusion-webui`). The image entrypoint
diff --git a/docs/serviceTemplates/comfyui-ugc-bootstrap.sh b/docs/serviceTemplates/comfyui-ugc-bootstrap.sh
new file mode 100755
index 000000000..b239410af
--- /dev/null
+++ b/docs/serviceTemplates/comfyui-ugc-bootstrap.sh
@@ -0,0 +1,347 @@
+#!/bin/bash
+# Bypasses the image entrypoint, which writes to /root/ComfyUI and fails where the container
+# is not uid 0.
+set -euo pipefail
+
+WF_ID="${COMFY_WORKFLOW_ID:-}"
+# Client-supplied, and becomes a directory + filename. userConfigurableEnvVars.validation is not
+# enforced node-side, so this is the only guard against traversal. No dots: it becomes a Python
+# module name.
+if [ -n "$WF_ID" ] && ! [[ "$WF_ID" =~ ^[A-Za-z0-9_-]{1,64}$ ]]; then
+  echo "[ocean] invalid COMFY_WORKFLOW_ID" >&2
+  exit 1
+fi
+
+echo "[ocean] $(id) | /data/outputs: $(ls -ld /data/outputs 2>&1 | head -1)"
+
+if [ -d /data/outputs ]; then
+  BASE=/data/outputs/comfy
+  # Rendered shots land in --output-directory; LoadVideo's dropdown only lists --input-directory.
+  # Same path for both, so the assemble workflow can pick up clips the generate workflow made.
+  INPUT_DIR=/data/outputs
+  OUTPUT_DIR_ARGS="--output-directory /data/outputs --input-directory $INPUT_DIR"
+else
+  BASE=/tmp/comfy
+  INPUT_DIR="$BASE/input"
+  OUTPUT_DIR_ARGS=""
+  echo "[ocean] no bucket mounted — models download to the container and are lost on stop." \
+    "If you did select a bucket, the node is not applying outputBucketId: check that it runs" \
+    "ocean-node with service bucket-mount support, and that persistentStorage is configured." >&2
+fi
+
+MODELS="$BASE/models"
+mkdir -p "$MODELS/checkpoints" "$MODELS/loras" "$MODELS/text_encoders" \
+  "$MODELS/latent_upscale_models" "$MODELS/diffusion_models" "$MODELS/vae" \
+  "$BASE/output" "$INPUT_DIR" "$BASE/temp" "$BASE/user"
+
+# Byte count the server promises, after following HuggingFace's redirect to its CDN. The last
+# content-length in the chain is the real one. Prints 0 when the server won't say.
+remote_size() {
+  curl -sIL --retry 3 --retry-delay 2 --max-time 60 "$1" 2>/dev/null |
+    tr -d '\r' | awk 'BEGIN{IGNORECASE=1} /^content-length:/{n=$2} END{print n+0}'
+}
+
+# .part then rename, and the finished file is checked against the server's size — on both the
+# download and the cache-hit path. A size floor alone is not an integrity check: these files run
+# 0.6-20 GB, so a download that died at 1% clears any floor, gets renamed, and is then trusted
+# forever by the -f test. safetensors only notices later, at load time, as
+# "Error while deserializing header: incomplete metadata, file not fully covered".
+get() {
+  want=$(remote_size "$1" || echo 0); want="${want:-0}"
+  if [ -f "$2" ]; then
+    have=$(wc -c < "$2" | tr -dc '0-9'); have="${have:-0}"
+    if [ "$want" -gt 0 ] && [ "$have" -ne "$want" ]; then
+      echo "[ocean] $(basename "$2") is $have bytes but the server says $want —" \
+        "the cached copy is truncated, refetching" >&2
+      rm -f "$2"
+    else
+      echo "[ocean] cached $(basename "$2")"
+      return 0
+    fi
+  fi
+  echo "[ocean] downloading $(basename "$2") ($want bytes)"
+  http_code=$(curl -L --retry 5 --retry-delay 5 -C - -o "$2.part" -w '%{http_code}' "$1")
+  http_code="${http_code:-000}"
+  if [ "$http_code" = "416" ] && [ -f "$2.part" ]; then
+    echo "[ocean] $(basename "$2").part already complete"
+  elif [ "$http_code" -lt 200 ] || [ "$http_code" -ge 300 ]; then
+    echo "[ocean] download failed for $(basename "$2") (HTTP $http_code)" >&2
+    return 22
+  fi
+  have=$(wc -c < "$2.part" | tr -dc '0-9'); have="${have:-0}"
+  if [ "$want" -gt 0 ] && [ "$have" -ne "$want" ]; then
+    echo "[ocean] $(basename "$2") got $have of $want bytes — discarding the partial file" >&2
+    rm -f "$2.part"
+    return 22
+  fi
+  # Only reachable when the server refused a content-length. A proxy or HF error page returns a
+  # few hundred bytes with HTTP 200; without this floor that body would be cached as a model.
+  if [ "$want" -eq 0 ] && [ "$have" -lt 10485760 ]; then
+    echo "[ocean] $(basename "$2") is only $have bytes — not a model file. First bytes:" >&2
+    head -c 300 "$2.part" >&2 || true
+    echo >&2
+    rm -f "$2.part"
+    return 22
+  fi
+  mv "$2.part" "$2"
+}
+
+WORKFLOW_JSON=""
+if [ -n "$WF_ID" ] && [ -n "${COMFY_WORKFLOW:-}" ]; then
+  # Pack dir is named after $WF_ID (the first workflow), so ?template=<id>&source=<id> resolves
+  # with no hard-coded name on either side. COMFY_WORKFLOW carries every workflow the template
+  # ships as {"<id>": <graph>, ...} — each entry gets its own file in the pack + sidebar.
+  PACK="$BASE/custom_nodes/$WF_ID"
+  SAVED="$BASE/user/default/workflows"
+  mkdir -p "$PACK/example_workflows" "$SAVED"
+  echo 'NODE_CLASS_MAPPINGS = {}' > "$PACK/__init__.py"
+  RAW="$PACK/.comfy_workflow_payload.json"
+  # Escrow is already claimed: a corrupt payload must not kill the container.
+  if printf '%s' "$COMFY_WORKFLOW" | base64 -d | gunzip > "$RAW"; then
+    # `|| true`: a decoded-but-malformed payload (wrong shape, bad ids) must not abort either.
+    INSTALLED=$(python3.13 - "$RAW" "$PACK/example_workflows" "$SAVED" "$WF_ID" <<'PY' || true
+import json, re, sys
+raw_path, pack_dir, saved_dir = sys.argv[1:4]
+try:
+    payload = json.load(open(raw_path, encoding='utf-8'))
+    if not isinstance(payload, dict) or not payload:
+        raise ValueError('expected a non-empty object')
+except Exception as e:
+    print(f'[ocean] COMFY_WORKFLOW did not decode to an object: {e}', file=sys.stderr)
+    sys.exit(0)
+# A bare graph has a top-level "nodes" list; an id -> graph map does not. Without this check a
+# bare graph installs one junk file per dict-valued key it happens to have (config, extra, ...).
+if isinstance(payload.get('nodes'), list):
+    payload = {sys.argv[4]: payload}
+for wf_id, graph in payload.items():
+    if not re.fullmatch(r'[A-Za-z0-9_.-]{1,64}', wf_id):
+        print(f'[ocean] skipping workflow with unsafe id {wf_id!r}', file=sys.stderr)
+        continue
+    if not isinstance(graph, dict):
+        print(f'[ocean] skipping workflow {wf_id!r} — graph is not an object', file=sys.stderr)
+        continue
+    text = json.dumps(graph, ensure_ascii=False)
+    open(f'{pack_dir}/{wf_id}.json', 'w', encoding='utf-8').write(text)
+    open(f'{saved_dir}/{wf_id}.json', 'w', encoding='utf-8').write(text)
+    print(wf_id)
+PY
+)
+    rm -f "$RAW"
+    if [ -n "$INSTALLED" ]; then
+      echo "[ocean] installed workflows: $(echo "$INSTALLED" | tr '\n' ' ') (template pack + Workflows sidebar)"
+      if [ -f "$PACK/example_workflows/$WF_ID.json" ]; then
+        WORKFLOW_JSON="$PACK/example_workflows/$WF_ID.json"
+      else
+        echo "[ocean] COMFY_WORKFLOW_ID ($WF_ID) was not among the installed workflows" >&2
+      fi
+    else
+      echo "[ocean] no workflows installed from COMFY_WORKFLOW — starting ComfyUI without one" >&2
+    fi
+  else
+    echo "[ocean] failed to decode COMFY_WORKFLOW — starting ComfyUI without a workflow" >&2
+    rm -f "$RAW"
+  fi
+fi
+
+# The graph carries the HuggingFace URLs for everything it loads, so each template fetches only
+# what it uses and a new workflow needs no edit here. Template envVars can't drive this: nothing
+# merges them into a service container.
+if [ -n "$WORKFLOW_JSON" ]; then
+  # `|| true` and the except are both needed: a payload that gunzips but isn't a graph must not
+  # abort the bootstrap after escrow is claimed.
+  MODEL_URLS=$(python3.13 - "$WORKFLOW_JSON" <<'PY' || true
+import json, re, sys
+seen = []
+def walk(o):
+    if isinstance(o, dict):
+        for v in o.values(): walk(v)
+    elif isinstance(o, list):
+        for v in o: walk(v)
+    elif isinstance(o, str):
+        for m in re.findall(r'https://huggingface\.co/[^\s\)\]"]+?\.safetensors', o):
+            if m not in seen: seen.append(m)
+try:
+    walk(json.load(open(sys.argv[1])))
+except Exception as e:
+    print(f'[ocean] cannot read model URLs from the workflow: {e}', file=sys.stderr)
+print('\n'.join(seen))
+PY
+)
+  if [ -z "$MODEL_URLS" ]; then
+    echo "[ocean] no model URLs found in the workflow — ComfyUI will start without weights" >&2
+  fi
+  for url in $MODEL_URLS; do
+    case "$url" in
+      */diffusion_models/*) sub=diffusion_models ;;
+      */text_encoders/*)    sub=text_encoders ;;
+      */vae/*)              sub=vae ;;
+      */loras/*)            sub=loras ;;
+      *[Ll]ora*)            sub=loras ;;
+      *upscaler*)           sub=latent_upscale_models ;;
+      *)                    sub=checkpoints ;;
+    esac
+    # One renamed file must not cost the whole paid session.
+    get "$url" "$MODELS/$sub/$(basename "$url")" ||
+      echo "[ocean] could not fetch $(basename "$url") — ComfyUI will start without it" >&2
+  done
+else
+  echo "[ocean] no workflow supplied — skipping model download" >&2
+fi
+
+# The graph's LoadImage/LoadAudio widgets name example assets. Putting them in input/ is what
+# makes the first Queue work without the user uploading anything — without it ComfyUI rejects
+# the prompt with "Value not in list: image", because it validates combo widgets across the
+# whole reachable graph even for nodes the selected branch never runs.
+if [ -n "$WORKFLOW_JSON" ]; then
+  python3.13 - "$WORKFLOW_JSON" "$INPUT_DIR" <<'PY' || true
+import json, shutil, sys, urllib.parse, urllib.request
+from pathlib import Path
+
+# Three sources, in order: a per-node properties.inputUrl the graph carries itself, then the
+# installed comfyui_workflow_templates package, then Comfy-Org's input/ directory by filename.
+# The package used to vendor these assets, but every release since 0.11.26 is a ~10 KB
+# meta-package carrying none, so that middle lookup currently always misses and is kept only in
+# case it starts shipping them again.
+RAW = 'https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/input/'
+
+dirs = []
+try:
+    import comfyui_workflow_templates as pkg
+    base = Path(pkg.__file__).parent
+    dirs = [base / 'templates' / 'input', base / 'templates', base / 'input']
+except Exception:
+    pass
+
+try:
+    graph = json.load(open(sys.argv[1]))
+except Exception as e:
+    print(f'[ocean] could not read the workflow for seeding: {e}', file=sys.stderr)
+    raise SystemExit(0)
+dest = Path(sys.argv[2])
+
+for node in graph.get('nodes', []):
+  # Per-node, because the graph is client-supplied: a name with a NUL or over 255 bytes makes
+  # even the cleanup below raise, and one malformed node must not stop the rest from seeding.
+  try:
+    if not isinstance(node, dict) or node.get('type') not in ('LoadImage', 'LoadAudio', 'LoadVideo'):
+        continue
+    widgets = node.get('widgets_values')
+    name = widgets[0] if isinstance(widgets, list) and widgets else None
+    # The graph arrives from the client, so `name` is untrusted and becomes both a URL segment
+    # and a write path. Basename only: Path('../x').name and Path('/etc/x').name both differ
+    # from the original, and Path('..').name is '', so traversal cannot survive this.
+    if not isinstance(name, str) or not name or Path(name).name != name or name[0] == '.':
+        continue
+    if (dest / name).exists():
+        continue
+    # A graph may carry its own source for an input, the way loader nodes carry model URLs, so a
+    # template can ship an asset that does not exist in Comfy-Org's input/ directory. https only,
+    # and the filename still comes from the widget, so this widens where bytes come from without
+    # widening where they land.
+    override = None
+    props = node.get('properties')
+    if isinstance(props, dict):
+        cand = props.get('inputUrl')
+        if isinstance(cand, str) and cand.startswith('https://'):
+            override = cand
+    if override:
+        part = dest / (name + '.part')
+        try:
+            # Several image CDNs (Pexels among them) 403 a bare urllib request, so identify.
+            req = urllib.request.Request(override, headers={'User-Agent': 'ocean-node/1.0'})
+            with urllib.request.urlopen(req, timeout=60) as r, open(part, 'wb') as f:
+                shutil.copyfileobj(r, f)
+            part.rename(dest / name)
+            print(f'[ocean] fetched example input {name}')
+        except Exception as e:
+            try:
+                part.unlink(missing_ok=True)
+            except Exception:
+                pass
+            print(f'[ocean] could not fetch {name} from its inputUrl ({e})', file=sys.stderr)
+        continue
+    local = next((d / name for d in dirs if (d / name).is_file()), None)
+    if local:
+        shutil.copy2(local, dest / name)
+        print(f'[ocean] seeded input {name}')
+        continue
+    # .part then rename, like the model downloads above: a truncated asset in a persistent
+    # bucket would look seeded forever and fail at Queue time instead of here.
+    part = dest / (name + '.part')
+    try:
+        url = RAW + urllib.parse.quote(name)
+        with urllib.request.urlopen(url, timeout=30) as r, open(part, 'wb') as f:
+            shutil.copyfileobj(r, f)
+        part.rename(dest / name)
+        print(f'[ocean] fetched example input {name}')
+    except Exception as e:
+        try:
+            part.unlink(missing_ok=True)
+        except Exception:
+            pass
+        # Non-fatal: escrow is claimed, and the user can always upload their own.
+        print(f'[ocean] no example input for {name} ({e}) — upload one in the UI', file=sys.stderr)
+  except Exception as e:
+    print(f'[ocean] skipped an input node while seeding: {e}', file=sys.stderr)
+PY
+fi
+
+export HOME="$BASE"
+export PYTHONPYCACHEPREFIX="$BASE/.cache/pycache"
+# Set before the pip install below, not just for ComfyUI: it puts pip's wheel cache in the
+# bucket, so the reinstall on every later launch resolves from disk instead of the network.
+export XDG_CACHE_HOME="$BASE/.cache"
+export HF_HOME="$BASE/.cache/huggingface"
+
+# Voice conversion for the assemble workflow: LTX re-rolls the speaker on every clip, so a
+# stitched reel changes voice at each cut. The node pack that fixes it is not in the image.
+# Driven by the graph, like the model URLs are — a template that doesn't use the node pays
+# nothing. Cloned code lands in the bucket; pip installs land in the container and are lost
+# on stop, hence the unconditional reinstall (cheap, cache is in the bucket). Plain install,
+# NOT --target: a second numpy/torch ahead of the container's on PYTHONPATH would break
+# ComfyUI itself. Every failure here is non-fatal — escrow is claimed and the video
+# workflows need none of this.
+if [ -n "${PACK:-}" ] && grep -qls UnifiedVoiceChangerNode "$PACK"/example_workflows/*.json 2>/dev/null; then
+  VC_DIR="$BASE/custom_nodes/TTS-Audio-Suite"
+  if ! command -v git >/dev/null 2>&1; then
+    echo "[ocean] no git in the image — skipping voice-conversion nodes" >&2
+  elif [ -d "$VC_DIR/.git" ] || git clone --depth 1 \
+      https://github.com/diodiogod/TTS-Audio-Suite.git "$VC_DIR"; then
+    echo "[ocean] installing voice-conversion dependencies (first launch is slow)"
+    # install.py, not `pip install -r requirements.txt`: that file deliberately omits librosa
+    # and descript-audio-codec, which install.py adds with --no-deps so pip cannot downgrade
+    # numpy/torch under ComfyUI. Installing the requirements alone leaves ChatterboxVC
+    # unimportable ("ChatterboxVC not available - check installation").
+    ( cd "$VC_DIR" && python3.13 install.py ) ||
+      echo "[ocean] voice-conversion dependencies failed to install — the Voice Changer node" \
+        "will be missing; delete it in the assemble workflow and wire Audio Concat straight" \
+        "into Create reel" >&2
+  else
+    echo "[ocean] could not clone TTS-Audio-Suite — the Voice Changer node will be missing" >&2
+    rm -rf "$VC_DIR"
+  fi
+fi
+
+# ComfyUI unloads a model to system RAM after every use unless told otherwise, so on a card that
+# could simply hold everything it re-stages the whole checkpoint each step — visible in the log as
+# "N MB Staged ... Force pre-loaded 210 weights: 1175 KB" and a VAE that re-stages per decode.
+# --highvram stops that, but it is only safe when the card really fits the weight set, so decide
+# from what was actually downloaded rather than hard-coding a threshold per template. 3/2 leaves
+# room for activations, which at these latent sizes are not small. CLI_ARGS replaces this entirely
+# when the caller sets it, so an operator can still force or suppress any flag.
+AUTO_ARGS=""
+if command -v nvidia-smi >/dev/null 2>&1; then
+  VRAM_MB=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits 2>/dev/null |
+    head -1 | tr -dc '0-9')
+  MODELS_MB=$(du -sm "$MODELS" 2>/dev/null | cut -f1 | tr -dc '0-9')
+  if [ -n "$VRAM_MB" ] && [ -n "$MODELS_MB" ] && [ "$MODELS_MB" -gt 0 ] &&
+     [ "$VRAM_MB" -ge $(( MODELS_MB * 3 / 2 )) ]; then
+    AUTO_ARGS="--highvram"
+  fi
+  echo "[ocean] ${VRAM_MB:-?} MB VRAM, ${MODELS_MB:-?} MB of weights ->" \
+    "auto args: ${AUTO_ARGS:-none (models are large relative to VRAM; letting ComfyUI offload)}"
+fi
+
+echo "[ocean] starting ComfyUI with base directory $BASE"
+exec python3.13 /default-comfyui-bundle/ComfyUI/main.py \
+  --base-directory "$BASE" ${OUTPUT_DIR_ARGS} --listen --port 8188 ${CLI_ARGS:-$AUTO_ARGS}
diff --git a/docs/serviceTemplates/ltx-video-ugc-multishot.json b/docs/serviceTemplates/ltx-video-ugc-multishot.json
new file mode 100644
index 000000000..fc14b84f4
--- /dev/null
+++ b/docs/serviceTemplates/ltx-video-ugc-multishot.json
@@ -0,0 +1,107 @@
+{
+  "id": "ltx-video-ugc-multishot",
+  "name": "ComfyUI — UGC multishot reel (LTX-2.3)",
+  "description": "ComfyUI preloaded with LTX-2.3 for a vertical UGC reel built one shot at a time, with the same character in every shot. It runs the same two-stage generator as the product-video template (22B dev fp8, base pass then a spatial-upscaler refine pass), so shot quality matches. Usage: optionally upload a character photo as the first frame — with no photo you turn on 'No character image' and the style prompt builds the character instead. Then fill two text boxes: 'Style — every shot' holds everything that must stay identical (who the character is, wardrobe, room, lighting, palette, camera look) and you never touch it again; 'Scene — this shot' holds only what changes (action, camera move, dialogue, ambient sound). Click Run for a clip, edit the scene box, Run again. Every run also saves that clip's last frame beside it as lastframe_….png, and a Shot start dial decides how it is used: at 1.0 it is frame 0 and the shot continues seamlessly, while around 0.35 it acts as a character reference only, so the model composes a new frame and you get a hard cut to a new scene with the same character. Chaining shots this way — shot 2 then starts exactly where shot 1 ended and identity carries in pixels rather than in prose, the trick that holds a multi-shot reel together. Clips are 9:16 vertical (720×1280) at 5 seconds each (126 frames at 25 fps) with audio, saved to the bucket root; ComfyUI's save counter never overwrites, so re-takes accumulate and you pick the good ones later. Once every shot is good, switch to the Assemble reel workflow to concatenate up to 8 of them into one clip inside ComfyUI — no external editor needed. The assemble workflow keeps each clip's own audio and runs it through a voice-conversion node: LTX re-rolls the speaker on every clip, so the stitched track would otherwise change voice at each cut. It takes the reference voice from Shot 1's own audio — nothing to upload and nothing to type, since this is speech-to-speech rather than transcription — and converts every line to that one speaker, with words, timing and room tone untouched — so the picture stays in sync and the lips still match. The node pack is not in the image; the bootstrap clones it and installs its dependencies on launch, but only when the graph actually uses it, so the first launch of this template is slower and the product template is unaffected. Select a persistent-storage bucket: it holds ComfyUI's whole base directory, so the 38 GiB of weights download once and are reused, and the numbered shot clips land in the bucket root where the storage API's listFiles can see them. Needs a CUDA GPU with 48 GB+ VRAM.",
+  "kind": "bundle",
+  "service": "comfyui",
+  "outcome": "Build a multi-shot 9:16 UGC reel with one character and one voice throughout.",
+  "category": "video",
+  "includes": [
+    {
+      "name": "LTX-2.3 22B dev (fp8)",
+      "kind": "model",
+      "sizeGb": 29.2,
+      "repoId": "Lightricks/LTX-2.3-fp8"
+    },
+    {
+      "name": "Gemma-3-12B-it text encoder (fp4 mixed)",
+      "kind": "model",
+      "sizeGb": 9.5,
+      "repoId": "Comfy-Org/ltx-2"
+    },
+    {
+      "name": "LTX-2.3 22B distilled LoRA (rank 111)",
+      "kind": "model",
+      "sizeGb": 2.7,
+      "repoId": "Comfy-Org/ltx-2.3"
+    },
+    {
+      "name": "LTX-2.3 spatial upscaler x2",
+      "kind": "model",
+      "sizeGb": 1.0,
+      "repoId": "Lightricks/LTX-2.3"
+    },
+    {
+      "name": "Gemma-3-12B-it abliterated LoRA (rank 64)",
+      "kind": "model",
+      "sizeGb": 0.6,
+      "repoId": "Comfy-Org/ltx-2"
+    },
+    {
+      "name": "TTS-Audio-Suite (voice conversion for the assemble workflow)",
+      "kind": "customnode",
+      "url": "https://github.com/diodiogod/TTS-Audio-Suite"
+    }
+  ],
+  "image": "yanwk/comfyui-boot",
+  "tag": "cu130-megapak-pt211-20260803",
+  "exposedPorts": [
+    8188
+  ],
+  "entrypoint": [
+    "/bin/bash",
+    "-c"
+  ],
+  "commandFile": "comfyui-ugc-bootstrap.sh",
+  "workflows": [
+    {
+      "id": "ocean_ugc_multishot",
+      "name": "Multishot reel — one shot per Run",
+      "description": "An image input plus two prompt boxes — a style box reused by every shot and a scene box you retype between runs. One Run renders one 9:16 clip and saves its last frame as lastframe_….png. The Shot start dial decides whether that image continues the take seamlessly (1.0) or acts as a character reference for a hard cut to a new scene (~0.35). With no image at all, the style prompt builds the character instead.",
+      "file": "workflows/ocean_ugc_multishot.json"
+    },
+    {
+      "id": "ocean_ugc_assemble",
+      "name": "Assemble reel",
+      "description": "Concatenates up to 8 rendered shot clips (video + audio) into a single reel using core ComfyUI video nodes, then converts every voice in the stitched track to Shot 1's voice so the reel does not change speaker at each cut — pick clips in the LoadVideo dropdowns, bypass any slots you don't need, and Run. No upload and no script: it reads the reference voice straight off the clips you already rendered.",
+      "file": "workflows/ocean_ugc_assemble.json"
+    }
+  ],
+  "userConfigurableEnvVars": [
+    {
+      "key": "COMFY_WORKFLOW_ID",
+      "validation": "^[A-Za-z0-9_-]+$"
+    },
+    {
+      "key": "COMFY_WORKFLOW"
+    }
+  ],
+  "requiredResources": [
+    {
+      "id": "cpu",
+      "min": 8,
+      "recommended": 16,
+      "unit": "cores"
+    },
+    {
+      "id": "ram",
+      "min": 48,
+      "recommended": 128,
+      "unit": "GB"
+    },
+    {
+      "id": "disk",
+      "min": 45,
+      "recommended": 85,
+      "unit": "GB"
+    },
+    {
+      "kind": "discrete",
+      "type": "gpu",
+      "min": 1,
+      "recommended": 1,
+      "unit": "count",
+      "description": "CUDA GPU, 48 GB+ VRAM recommended (LTX-2.3 22B fp8 + Gemma-3-12B encoder)"
+    }
+  ]
+}
diff --git a/docs/serviceTemplates/ltx-video-ugc-product.json b/docs/serviceTemplates/ltx-video-ugc-product.json
new file mode 100644
index 000000000..d0d95e387
--- /dev/null
+++ b/docs/serviceTemplates/ltx-video-ugc-product.json
@@ -0,0 +1,96 @@
+{
+  "id": "ltx-video-ugc-product",
+  "name": "ComfyUI — UGC product video (LTX-2.3)",
+  "description": "ComfyUI preloaded with LTX-2.3 for vertical short-form product video: a product photo becomes a 9:16 clip with camera motion and ambient audio, capped at the graph's 5 seconds (126 frames at 25 fps). Select a persistent-storage bucket: it holds ComfyUI's whole base directory, so the 38 GiB of weights download once and are reused, and generated clips land in the bucket root. Needs a CUDA GPU with 48 GB+ VRAM.",
+  "kind": "bundle",
+  "service": "comfyui",
+  "outcome": "Turn a product photo into a 9:16 clip with camera motion and ambient audio.",
+  "category": "video",
+  "includes": [
+    {
+      "name": "LTX-2.3 22B dev (fp8)",
+      "kind": "model",
+      "sizeGb": 29.2,
+      "repoId": "Lightricks/LTX-2.3-fp8"
+    },
+    {
+      "name": "Gemma-3-12B-it text encoder (fp4 mixed)",
+      "kind": "model",
+      "sizeGb": 9.5,
+      "repoId": "Comfy-Org/ltx-2"
+    },
+    {
+      "name": "LTX-2.3 22B distilled LoRA (rank 111)",
+      "kind": "model",
+      "sizeGb": 2.7,
+      "repoId": "Comfy-Org/ltx-2.3"
+    },
+    {
+      "name": "LTX-2.3 spatial upscaler x2",
+      "kind": "model",
+      "sizeGb": 1.0,
+      "repoId": "Lightricks/LTX-2.3"
+    },
+    {
+      "name": "Gemma-3-12B-it abliterated LoRA (rank 64)",
+      "kind": "model",
+      "sizeGb": 0.6,
+      "repoId": "Comfy-Org/ltx-2"
+    }
+  ],
+  "image": "yanwk/comfyui-boot",
+  "tag": "cu130-megapak-pt211-20260803",
+  "exposedPorts": [
+    8188
+  ],
+  "entrypoint": [
+    "/bin/bash",
+    "-c"
+  ],
+  "commandFile": "comfyui-ugc-bootstrap.sh",
+  "workflows": [
+    {
+      "id": "ocean_ugc_product",
+      "name": "Product → vertical clip",
+      "description": "Upload a product photo, get a 9:16 clip with camera motion and ambient audio.",
+      "file": "workflows/ocean_ugc_product.json"
+    }
+  ],
+  "userConfigurableEnvVars": [
+    {
+      "key": "COMFY_WORKFLOW_ID",
+      "validation": "^[A-Za-z0-9_-]+$"
+    },
+    {
+      "key": "COMFY_WORKFLOW"
+    }
+  ],
+  "requiredResources": [
+    {
+      "id": "cpu",
+      "min": 8,
+      "recommended": 16,
+      "unit": "cores"
+    },
+    {
+      "id": "ram",
+      "min": 48,
+      "recommended": 128,
+      "unit": "GB"
+    },
+    {
+      "id": "disk",
+      "min": 40,
+      "recommended": 80,
+      "unit": "GB"
+    },
+    {
+      "kind": "discrete",
+      "type": "gpu",
+      "min": 1,
+      "recommended": 1,
+      "unit": "count",
+      "description": "CUDA GPU, 48 GB+ VRAM recommended (LTX-2.3 22B fp8 + Gemma-3-12B encoder)"
+    }
+  ]
+}
diff --git a/docs/serviceTemplates/minimax-h3-video-ugc-multishot.json b/docs/serviceTemplates/minimax-h3-video-ugc-multishot.json
new file mode 100644
index 000000000..35475ba55
--- /dev/null
+++ b/docs/serviceTemplates/minimax-h3-video-ugc-multishot.json
@@ -0,0 +1,102 @@
+{
+  "id": "minimax-h3-video-ugc-multishot",
+  "name": "ComfyUI — UGC multishot reel (MiniMax H3)",
+  "description": "ComfyUI preloaded with MiniMax H3 (open-weights, int8) for a vertical UGC reel where every beat carries native stereo audio — voice, room tone and music generated in the same forward pass, so there is no TTS step and no voice-conversion node pack riding along the way the LTX UGC templates need. One Run renders about 30 seconds with six shots and one consistent character, because the graph chains H3's two modes end to end: beat 1 is FL2VA, whose first_frame literally becomes frame 0 so your uploaded photo opens the video, and beat 2 is Ref2VA, the only mode that accepts a reference video — and it is fed the last 3 seconds of beat 1 directly, as IMAGE and AUDIO tensors rather than a saved MP4, so face, wardrobe, room, camera style and voice all carry forward with no re-encode. 15 seconds is H3's ceiling per generation and no wiring changes that, so the join at 00:15 is a hard cut between two passes, not a continuous take; write beat 2 as a deliberate new angle and it reads as editing. A 'Second beat — 30 s total' boolean drives lazy switches: turn it off and beat 2's checkpoint is never loaded and its sampling pass never runs, giving a 15-second beat in about half the time for iteration. Four prompt boxes, because the two modes take different contracts and H3 mandates the section order subject_definitions → summary → retention_analysis → detailed_description → overall_soundscape → non_diegetic_music: box A (Cast & references) and box D (Audio & music) are set once, box B is beat 1's integrated_multimodal_description and box C is beat 2's summary, retention_analysis and detailed_description. Two StringFormat nodes join them per stage — beat 1 gets a fixed instruction line plus B and D, beat 2 gets A, C and D in the mandated order. retention_analysis is the section actually holding the character's face steady, and it names the chained beat-1 tail as <Video 1>. Only the subject photo is active; product and location stills, an external style/motion video and a voice-lock clip all ship bypassed and are safe to leave that way, since an unwired reference socket is natively valid — H3 accepts up to 9 images, 3 videos (2–15 s each, 15 s total), 3 audio, 12 files overall. No turbo LoRA ships: the 4-step turbo LoRA is about 2.5x faster but clips and noises the audio path, which is this template's headline feature, so full-step sampling with the beta scheduler is the only path installed. One control panel on the canvas drives both beats — a single Resolution, beat length, steps and seed — because two resolutions that drifted apart would make the joining ImageBatch silently rescale beat 2 to beat 1's dimensions, a quality loss with no error; `ref_image_size` is the only dial still promoted onto a stage. fps is a model constant, not a setting: H3 generates at exactly 24 and the frame-grid expression hard-codes `a * 24`, so the node is titled 'Join beats — 24 fps (H3 is fixed at 24, do not change)' and any other value only desyncs audio from picture. Beats render 15 s each (length 362, the top of H3's trained 124–362 range); the shipped Resolution default is 0.6 MP at 9:16 (608x1056) so the first Run finishes quickly; raise it to 0.97 MP for 768x1344, H3's native canvas and its documented cap. 1.0 MP is deliberately not the default: the node's formula turns it into 768x1376, overshooting the long-edge cap. Steps ship at 15, the practical floor, with 20 for a final render; drop to 0.8 MP (672x1216) or shorter beats when you want a Run to finish sooner, since cost is dominated by latent tokens and attention is quadratic in them. Weights total 59.1 GB and the chained design loads both checkpoints per Run, so one 80 GB+ card (H200/H100 class) holds everything resident and offloads nothing; the launch script adds --highvram automatically when the card's VRAM covers the downloaded weights with 3/2 headroom, which keeps models resident instead of unloading them to system RAM after every use — without it a 20 GB checkpoint is staged rather than resident and streams every step, and the VAEs re-stage on each decode. The script logs the decision so you can see which way it went. A second GPU does not make a single Run faster — H3 is CFG-distilled so the CFG-split node has one conditioning and nothing for the second card, core ComfyUI has no tensor parallelism, and the two beats are sequential by construction; only a second container running a separate job uses one. Each beat also carries three optional device-placement nodes (text encoder, video VAE, audio VAE), shipped bypassed on default because they are pointless on a big card and useful only on something like 2×24 GB, where moving the 14.6 GB encoder to gpu:1 stops it evicting the diffusion model. 24 GB still runs the template at 0.4 MP but offloads heavily and swaps checkpoints mid-Run. Select a persistent-storage bucket on launch: it holds ComfyUI's whole base directory, and without one the roughly 59 GB of weights (two 19.5 GB checkpoints, a 14.6 GB text encoder, video and audio VAEs) re-downloads every launch and is discarded on stop; with a bucket selected, beat and reel clips land in the bucket root where the storage API's listFiles can see them. This template tops out at H3's native resolution: MiniMax's 2K mode (hosted `H3-Regenerate-2K`) is a hosted-only feature, absent from the open-weights release, so there is no 2K path here.",
+  "kind": "bundle",
+  "service": "comfyui",
+  "outcome": "Build a multi-shot 9:16 UGC reel with native synced audio, one character and one voice throughout.",
+  "category": "video",
+  "includes": [
+    {
+      "name": "MiniMax H3 Ref2VA (int8)",
+      "kind": "model",
+      "sizeGb": 19.5,
+      "repoId": "Comfy-Org/MiniMax-H3"
+    },
+    {
+      "name": "MiniMax H3 FL2VA (int8)",
+      "kind": "model",
+      "sizeGb": 19.5,
+      "repoId": "Comfy-Org/MiniMax-H3"
+    },
+    {
+      "name": "Qwen3-VL-32B text encoder (nvfp4 awq)",
+      "kind": "model",
+      "sizeGb": 14.6,
+      "repoId": "Comfy-Org/MiniMax-H3"
+    },
+    {
+      "name": "H3 video VAE (fp16)",
+      "kind": "model",
+      "sizeGb": 4.9,
+      "repoId": "Comfy-Org/MiniMax-H3"
+    },
+    {
+      "name": "H3 audio VAE (fp32, stereo)",
+      "kind": "model",
+      "sizeGb": 0.6,
+      "repoId": "Comfy-Org/MiniMax-H3"
+    }
+  ],
+  "image": "yanwk/comfyui-boot",
+  "tag": "cu130-megapak-pt211-20260812",
+  "exposedPorts": [
+    8188
+  ],
+  "entrypoint": [
+    "/bin/bash",
+    "-c"
+  ],
+  "commandFile": "comfyui-ugc-bootstrap.sh",
+  "workflows": [
+    {
+      "id": "ocean_h3_ugc_multishot",
+      "name": "Multishot reel — one Run, 30 s, six shots",
+      "description": "One Run renders ~30 s with six shots and one consistent character, with native synced voice, room tone and music throughout. Two chained subgraphs: beat 1 (FL2VA) starts from your uploaded photo as literal frame 0, and beat 2 (Ref2VA) is handed the last 3 s of beat 1 directly as frames plus audio — no file, no re-encode — so it inherits face, wardrobe, room, camera style and voice automatically. Four prompt boxes: A (Cast & references) and D (Audio & music) are set once, B is beat 1's body and C is beat 2's summary, retention_analysis and detailed_description; two StringFormat nodes give each mode its own correct section order. A 'Second beat' boolean drives lazy switches, so turning it off renders only beat 1 — beat 2's checkpoint never loads and its sampling pass never runs, which halves iteration time. Product and location stills, an external style/motion video and a voice-lock clip all ship bypassed and are safe to leave bypassed. The seam at 00:15 is a hard cut: 15 s is H3's ceiling per generation.",
+      "file": "workflows/ocean_h3_ugc_multishot.json"
+    },
+    {
+      "id": "ocean_h3_ugc_assemble",
+      "name": "Assemble reel",
+      "description": "Concatenates up to 8 rendered beat clips (video + audio, already final) into a single reel using core ComfyUI video nodes — no external editor and no voice-conversion pass, since every beat already carries its own synced audio. Pick clips in the Beat 1–8 LoadVideo dropdowns, bypass any slots you don't need, and Run.",
+      "file": "workflows/ocean_h3_ugc_assemble.json"
+    }
+  ],
+  "userConfigurableEnvVars": [
+    {
+      "key": "COMFY_WORKFLOW_ID",
+      "validation": "^[A-Za-z0-9_-]+$"
+    },
+    {
+      "key": "COMFY_WORKFLOW"
+    }
+  ],
+  "requiredResources": [
+    {
+      "id": "cpu",
+      "min": 8,
+      "recommended": 16,
+      "unit": "cores"
+    },
+    {
+      "id": "ram",
+      "min": 128,
+      "recommended": 256,
+      "unit": "GB"
+    },
+    {
+      "id": "disk",
+      "min": 70,
+      "recommended": 140,
+      "unit": "GB"
+    },
+    {
+      "kind": "discrete",
+      "type": "gpu",
+      "min": 1,
+      "recommended": 1,
+      "unit": "count",
+      "description": "One CUDA GPU. The chained design loads both checkpoints per Run and the weights total 59.1 GB (19.5 + 19.5 + 14.6 + 4.9 + 0.6), so a single 80 GB+ card (H200/H100 class) holds everything resident with nothing offloaded — launch it with CLI_ARGS = --highvram. Deliberately ask for one and not two: a second GPU cannot accelerate a single Run here. H3 is CFG-distilled, so the CFG-split node sees one conditioning and has nothing to hand the second card; core ComfyUI has no tensor parallelism, so one sampling pass runs on one device; and beat 2 consumes beat 1's frames, so the two beats cannot overlap. Booking a second card would cost money for an idle device. Two GPUs help only in two cases, neither of which this count controls: running a second container for a parallel job, or a small dual-GPU box (2x24 GB) where the optional device-placement nodes in each beat move the 14.6 GB text encoder off the sampling card. GPU class matters directly here, CPU cores do not — sampling is GPU-bound."
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/serviceTemplates/workflows/ocean_h3_ugc_assemble.json b/docs/serviceTemplates/workflows/ocean_h3_ugc_assemble.json
new file mode 100644
index 000000000..bd67dbfba
--- /dev/null
+++ b/docs/serviceTemplates/workflows/ocean_h3_ugc_assemble.json
@@ -0,0 +1,1864 @@
+{
+  "id": "f0a7b59b-e37f-4ce2-9564-e772ecd7d9c2",
+  "revision": 0,
+  "last_node_id": 62,
+  "last_link_id": 65,
+  "nodes": [
+    {
+      "id": 1,
+      "type": "MarkdownNote",
+      "pos": [
+        -1000.0,
+        0.0
+      ],
+      "size": [
+        900,
+        760
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "## Assemble reel\n\nEach **Beat** group is one slot: pick a rendered `beat_\u2026mp4` in its **file** dropdown. The dropdown lists what is in the bucket \u2014 hit ComfyUI's refresh icon if a clip you just rendered is not there yet. Re-takes never overwrite, so just don't select the ones you didn't like.\n\n### Using fewer than 8 beats\n\nRight-click the group \u2192 **Bypass Group Nodes**. Do this for every beat slot you are not using.\n\nBypassing only the *Load Video* node is not enough \u2014 the Image Batch and Audio Concat in that row still demand a second input and the run fails validation with `Required input is missing: image2`. That is why each row is grouped: bypassing the group takes out all four nodes at once, and the batch/concat nodes then pass their first input straight through, so the chain closes over the gap.\n\n**Beat 1 cannot be bypassed.** It heads both the image and audio chains.\n\nClick **Run** once. The reel saves as `reel_00001\u2026` in the bucket root.\n\n### Voice\n\nMiniMax H3 generates each clip's voice from the reference inputs, so the stitched track is already one consistent speaker across beats \u2014 no conversion step needed. The last **Audio Concat** feeds **Create reel**'s `audio` input directly.\n\n### Memory\n\n8 \u00d7 12 s at 768\u00d71344 is ~2300 frames batched in RAM. If it OOMs, assemble in two passes \u2014 the output of one assemble is a valid input to the next."
+      ],
+      "title": "How to use"
+    },
+    {
+      "id": 10,
+      "type": "LoadVideo",
+      "pos": [
+        0.0,
+        0.0
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            1
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "LoadVideo"
+      },
+      "widgets_values": [
+        "beat_00001_.mp4"
+      ],
+      "title": "Beat 1"
+    },
+    {
+      "id": 20,
+      "type": "GetVideoComponents",
+      "pos": [
+        400.0,
+        0.0
+      ],
+      "size": [
+        270,
+        126
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 1
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            9
+          ]
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": [
+            23
+          ]
+        },
+        {
+          "name": "fps",
+          "type": "FLOAT",
+          "links": [
+            38
+          ]
+        },
+        {
+          "name": "bit_depth",
+          "type": "INT",
+          "links": []
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "GetVideoComponents"
+      },
+      "title": "Beat 1 components"
+    },
+    {
+      "id": 11,
+      "type": "LoadVideo",
+      "pos": [
+        0.0,
+        480.0
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            2
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "LoadVideo"
+      },
+      "widgets_values": [
+        "beat_00002_.mp4"
+      ],
+      "title": "Beat 2"
+    },
+    {
+      "id": 21,
+      "type": "GetVideoComponents",
+      "pos": [
+        400.0,
+        480.0
+      ],
+      "size": [
+        270,
+        126
+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 2
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            10
+          ]
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": [
+            24
+          ]
+        },
+        {
+          "name": "fps",
+          "type": "FLOAT",
+          "links": []
+        },
+        {
+          "name": "bit_depth",
+          "type": "INT",
+          "links": []
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "GetVideoComponents"
+      },
+      "title": "Beat 2 components"
+    },
+    {
+      "id": 12,
+      "type": "LoadVideo",
+      "pos": [
+        0.0,
+        960.0
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            3
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "LoadVideo"
+      },
+      "widgets_values": [
+        "beat_00003_.mp4"
+      ],
+      "title": "Beat 3"
+    },
+    {
+      "id": 22,
+      "type": "GetVideoComponents",
+      "pos": [
+        400.0,
+        960.0
+      ],
+      "size": [
+        270,
+        126
+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 3
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            12
+          ]
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": [
+            26
+          ]
+        },
+        {
+          "name": "fps",
+          "type": "FLOAT",
+          "links": []
+        },
+        {
+          "name": "bit_depth",
+          "type": "INT",
+          "links": []
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "GetVideoComponents"
+      },
+      "title": "Beat 3 components"
+    },
+    {
+      "id": 13,
+      "type": "LoadVideo",
+      "pos": [
+        0.0,
+        1440.0
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            4
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "LoadVideo"
+      },
+      "widgets_values": [
+        "beat_00004_.mp4"
+      ],
+      "title": "Beat 4"
+    },
+    {
+      "id": 23,
+      "type": "GetVideoComponents",
+      "pos": [
+        400.0,
+        1440.0
+      ],
+      "size": [
+        270,
+        126
+      ],
+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 4
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            14
+          ]
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": [
+            28
+          ]
+        },
+        {
+          "name": "fps",
+          "type": "FLOAT",
+          "links": []
+        },
+        {
+          "name": "bit_depth",
+          "type": "INT",
+          "links": []
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "GetVideoComponents"
+      },
+      "title": "Beat 4 components"
+    },
+    {
+      "id": 14,
+      "type": "LoadVideo",
+      "pos": [
+        0.0,
+        1920.0
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            5
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "LoadVideo"
+      },
+      "widgets_values": [
+        "beat_00005_.mp4"
+      ],
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diff --git a/docs/serviceTemplates/workflows/ocean_h3_ugc_multishot.json b/docs/serviceTemplates/workflows/ocean_h3_ugc_multishot.json
new file mode 100644
index 000000000..aa769dccb
--- /dev/null
+++ b/docs/serviceTemplates/workflows/ocean_h3_ugc_multishot.json
@@ -0,0 +1,4678 @@
+{
+  "id": "9c1a4d2e-7b58-4f36-a0d1-3e6b52f7c418",
+  "revision": 0,
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+      "mode": 0,
+      "inputs": [],
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+        "Node name for S&R": "MarkdownNote"
+      },
+      "title": "How to use",
+      "widgets_values": [
+        "# MiniMax H3 — 30 s UGC reel, one Run\n\nOne Run renders **two 15-second beats and joins them**: beat 1 starts from your\nphoto, beat 2 inherits the character from beat 1 automatically, and you get one\n~30 s clip with one face, one wardrobe, one room and one voice.\n\n## The one switch\n\n**Second beat — 30 s total** is a boolean at the bottom of the `Controls`\ngroup on the canvas.\n\n- **on** (default) — both beats render, ~30 s out.\n- **off** — only beat 1 renders, ~15 s out. The switches are lazy, so beat 2's\n  checkpoint is never loaded and its sampling pass never runs. Use this while\n  you are still iterating on beat 1; it costs about half the time.\n\n## The four boxes\n\n| Box | When | Sections it carries |\n|---|---|---|\n| **A · Cast & references** | set once | `subject_definitions` |\n| **B · Beat 1** | per beat | `integrated_multimodal_description` |\n| **C · Beat 2** | per beat | `summary`, `retention_analysis`, `detailed_description` |\n| **D · Audio & music** | set once | `overall_soundscape`, `non_diegetic_music` |\n\nTwo `StringFormat` nodes join them, one per stage, because the two H3 modes take\ndifferent contracts. Beat 1 (FL2VA) gets a fixed instruction line + B + D. Beat 2\n(Ref2VA) gets A + C + D, which lands the six sections in H3's mandated order:\n\n    subject_definitions → summary → retention_analysis →\n    detailed_description → overall_soundscape → non_diegetic_music\n\n**Never delete the first line of a box** — that line is the section label.\n\nWrite **350–500 words** in the body of B (`integrated_multimodal_description`)\nand of C (`detailed_description`). That range is the guide's figure for the body\nfield, not for the whole prompt, and an under-written body is the single most\ncommon cause of identity drift. Each body carries three timecoded shots:\n`[Shot 1]` with no timestamp, then `[Shot 2] At 00:05.000,` and\n`[Shot 3] At 00:10.000,` — keep the comma.\n\nCamera moves use **motion type + amplitude + speed** (\"pushes in with small\namplitude at slow speed\"). Leave medium amplitude and normal speed unstated.\nDialogue is `The woman with a warm, low voice (S1) says: <d>[English] ...</d>`,\nand speaker ids are assigned in order of first vocal event, then reused.\n`retention_analysis` never uses `(Sx)`.\n\n## The seam is a hard cut\n\n15 s is H3's ceiling **per generation** and no wiring changes that. Beat 2 is a\nnew pass that references beat 1, not a continuation of the same take, so the\njoin at 00:15 is a **hard cut**: same person, same room, same voice, but a new\ncamera setup. Write beat 2 as a deliberate cut — a new angle or a new position\nin the room — and it reads as editing rather than as a glitch.\n\n## Swapping in your own character\n\n`<Picture 1>` is frame 0 of beat 1, so the video always *opens* on your photo. Beat 2\nis driven by the words in box A, so **if you swap the photo and leave box A describing\nthe shipped example, the reel starts as your person and ends as the example's.** That\nis the one edit you cannot skip: rewrite box A's `subject_definitions` paragraph, and\nthe matching identity phrases in box C's `retention_analysis`, to describe your photo.\n\nBeat 1's box B deliberately anchors to `<Picture 1>` rather than naming a subject, so\nit follows the image on its own and needs no edit when you swap photos.\n\n## References\n\nEverything except <Picture 1> ships **bypassed**, and bypassed is safe: an\nunwired reference socket is natively valid and the model simply does not use it.\nThe four optional ones are stacked in one column in the group titled\n**Optional references — select a node and press Ctrl+B to toggle**; `<Picture 1>`\nsits above them on its own, because it is not optional.\n\n- `<Picture 1>` · **active** — your character. It is frame 0 of beat 1 and\n  reference image 0 of beat 2, so it is the one photo that decides the face.\n- `<Picture 2>` · product close-up and `<Picture 3>` · location both **fall back to\n  the subject photo**, which does show the bottle and the kitchen. That is\n  deliberate: no stock asset matches this particular mint-green serum or this\n  kitchen, and a default that contradicts the written scene is worse than no\n  default — it is what makes the product and the room come out wrong. Replace\n  them with your own crops, or leave them bypassed.\n- `<Audio 1>` · voice lock — ships with `audio_speaker1_woman.mp3`. Replace it\n  with 5–10 s of clean speech in the voice you want.\n- `<Video 2>` · style / motion reference — optional, and the one slot with no\n  default, because video is not seeded. It is *2* because `<Video 1>` is taken:\n  that tag belongs to the automatic 3-second tail of beat 1 that the graph feeds\n  into beat 2. Tags follow connection order, and the titles here match what you\n  type in the prompt.\n\nEvery default is a real file the launch script downloads on first start, so\nun-bypassing never fails on a missing file. Un-bypassing is only half the job: **name the tag in box A or C** or\nthe model has no idea what the file is for, e.g. `<Picture 2> is the moisturizer\nbottle she holds; keep its label legible.`\n\nH3's own limits, across all of them: **≤9 images · ≤3 videos (2–15 s each,\n≤15 s total) · ≤3 audio · ≤12 files total.**\n\n## Controls — one panel, both beats\n\nThe `Controls` group, directly under the reference column, holds every dial, and\neach one drives **both** beats. There is deliberately only one of each: two\nresolutions that drifted apart would make `ImageBatch` silently rescale beat 2\nto beat 1's size, and you would notice it only as softness.\n\n**Resolution** ships at megapixels **1.0** / 9:16, which the node rounds to\n**768x1344** — H3's native cap, and the sharpest size the open weights produce.\nIt is the default because the target card is an H200: at 1.0 MP the whole\n59.1 GB weight set still sits in VRAM with nothing offloaded. On a 24 GB card\ndrop to **0.4** before you shorten a beat.\n\n**Beat length (seconds)** feeds the frame-grid expression right below it. 15 s\nlands on length 362, the top of H3's trained 124–362 range, and 15 s is also\nH3's ceiling per beat. **Steps** is 20 — lower is faster and softer. **Seed** is\nshared on purpose: the two beats have different prompts and different\nconditioning, so one seed never means one clip twice, it just makes a whole Run\nreproducible while you iterate.\n\n`ref_image_size` is the only dial still promoted onto a beat — it is beat-2 only\nand ships as **max**, because UGC lives on face and product-label fidelity;\nswitch it to **match** for drafts. Sampler `res_multistep`, scheduler `beta` —\nbeta and normal outperform simple on reference-heavy prompts, which both beats\nare by design.\n\n**fps is not a dial.** `Join beats — 24 fps (H3 is fixed at 24, do not change)`.\nH3 generates at exactly 24 fps and the frame-grid expression already hard-codes\n`a * 24`, so any other value only desyncs the audio from the picture.\n\n## Hardware\n\nBuilt for **one H200 (141 GB)**. The whole weight set is 59.1 GB, so both\ncheckpoints, the text encoder and both VAEs fit with room to spare.\n\n**`--highvram` is applied for you.** ComfyUI otherwise unloads a model to system\nRAM after every use, which on a card this size means re-staging a 20 GB\ncheckpoint every step — visible in the log as `19995MB Staged … Force pre-loaded\n210 weights: 1175 KB` and a VAE that re-stages on each decode. Before starting\nComfyUI the launch script compares the card's VRAM against the weights it just\ndownloaded and adds the flag when the card covers them with 3/2 headroom, so an\nH200 gets it and a 48 GB card correctly does not. There is nothing to set: the\nlog line reads `[ocean] 143158 MB VRAM, 60518 MB of weights -> auto args:\n--highvram`.\n\nResolution ships at **0.6 MP (608x1056)** so the first Run finishes quickly, not\nbecause the card needs it. Raise it to 0.97 for 768x1344, H3's native canvas.\n\n**The second GPU does not make one Run faster**, and booking two does not change\nwhat a single Run does. H3 is CFG-distilled, so the CFG-split node has one\nconditioning to hand out and nothing left for a second card, and core ComfyUI\nhas no tensor parallelism — one sampling pass runs on one device. Beat 1 and\nbeat 2 cannot be split across cards either: beat 2 consumes beat 1's frames, so\nthey are strictly sequential. A second card is a second job, not a faster job.\n\n**The three device nodes inside each beat** — text encoder, video VAE, audio VAE\n— ship **bypassed** on `default` and do nothing on an H200. They exist for\n2×24 GB: un-bypass the text-encoder one (Ctrl+B) and set it to `gpu:1`, and the\n14.6 GB encoder stops evicting the diffusion model. `gpu:1` only appears in the\ndropdown on a machine that really has two cards, which is why nothing is\nhard-coded.\n\n**A third or fourth beat is available today.** 141 GB removes the memory\nceiling, so run the graph again with the emitted `lastframe_….png` loaded into\n`<Picture 1>`, write the next beat, and stitch the clips in the **Assemble\nreel** workflow. The graph itself stays at two beats on purpose.\n\n## Outputs\n\n`beat` — the joined clip. `lastframe` — its final frame as a PNG, written on\nevery Run. Feed that PNG into `<Picture 1>` if you want to hand-start a third\nbeat from where this one ended.\n\n\n## Speed — what actually costs time\n\nOne measured data point on an H200: **20 steps at 0.97 MP / 15 s = 36.3 s per step,\nabout 12 minutes per beat**, so ~25 minutes for a 30 s reel.\n\nCost is dominated by latent token count, which is\n`(width/16) x (height/16) x video_latent_t`, and attention is quadratic in it.\nAt 768x1344 / 362 frames that is **431,424 tokens** through a 33B model.\n\nBefore touching quality:\n\n1. **`--highvram` is now automatic.** The launch script compares the card's VRAM against\n   the weights it actually downloaded and adds `--highvram` when the card fits them with\n   room to spare (3/2), so on an H200 you get it without doing anything. The log line\n   reads `[ocean] 144384 MB VRAM, 60518 MB of weights -> auto args: --highvram`. There is no flag to set by hand.\n\nThen, in order of effect per unit of quality lost:\n\n| Change | Tokens | Per beat |\n|---|---|---|\n| 20 -> 15 steps (shipped default) | same | 12.4m -> 9.3m |\n| 0.97 -> 0.8 MP (672x1216) | 0.79x | 7.2m |\n| 15 s -> 12 s beats (294 frames) | 0.64x | 5.8m |\n| 0.8 MP + 12 s together | 0.51x | 4.6m |\n\nSteps is linear and safe down to about 15; below that quality drops noticeably.\nResolution and duration both cut tokens, and because attention is quadratic the\nreal saving is usually a little better than these linear estimates.\n\nA 4-step turbo LoRA exists for H3 and would cut steps by 2.5x, but it is not part\nof this template.\n\n## Pointing a slot at your own photo\n\nEvery reference node can carry its own source, so you are not limited to the\nhandful of assets ComfyUI ships. Give the node a `properties.inputUrl` and the\nlaunch script downloads it into the input directory under the filename in the\nwidget:\n\n    \"properties\": { \"inputUrl\": \"https://your-cdn.example/serum.jpg\" }\n\nhttps only, the filename still comes from the widget, and a failed fetch is\nnon-fatal — you just upload by hand instead. Works for `LoadImage`, `LoadAudio`\nand `LoadVideo`, which is the only way to give `<Video 2>` a default at all.\n\n**Why `<Picture 2>` and `<Picture 3>` do not ship a real product and room.**\nBeat 1 is FL2VA and sees *only* `<Picture 1>` — no reference images reach it. So\nwhatever product and room appear in the video are the ones in the subject photo,\nand a different bottle in `<Picture 2>` would contradict the one already in her\nhand at frame 0. When you swap in your own campaign assets, swap all three at\nonce and rewrite box A to match, and they reinforce instead of fight."
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
+    },
+    {
+      "id": 202,
+      "type": "MarkdownNote",
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+        -1200,
+        3620
+      ],
+      "size": [
+        860,
+        900
+      ],
+      "flags": {},
+      "order": 14,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {
+        "Node name for S&R": "MarkdownNote"
+      },
+      "title": "Model links",
+      "widgets_values": [
+        "## Model links\n\n[Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**diffusion_models**\n\n- [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors) — beat 1\n- [minimax_h3_ref2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors) — beat 2\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n## Model storage location\n\n```\nComfyUI/\n  models/\n    diffusion_models/\n      minimax_h3_fl2va_pruned_int8_convrot.safetensors\n      minimax_h3_ref2va_pruned_int8_convrot.safetensors\n    text_encoders/\n      qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n    vae/\n      minimax_h3_video_vae_fp16.safetensors\n      minimax_h3_audio_vae_fp32.safetensors\n```\n\nBoth subgraphs load the text encoder and both VAEs. ComfyUI caches loaded models\nby filename, so the duplicate loader nodes cost nothing in VRAM and each stage\nstays self-contained.\n\nEvery file above is downloaded by the launch script before ComfyUI starts. It\nreads the URLs out of this graph, so a loader without a URL is a missing file.\n"
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+          "type": "STRING",
+          "links": [
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+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PrimitiveStringMultiline"
+      },
+      "title": "A · Cast — REWRITE to match your own <Picture 1>, or beat 2 renders the person described here",
+      "widgets_values": [
+        "subject_definitions: <Subject 1> is the woman in <Picture 1> — mid-to-late twenties, warm tan skin with a natural finish and no heavy makeup, long dark brown hair centre-parted and swept over her right shoulder, full natural brows, a wide genuine smile with her eyes lowered toward her hands, wearing an open-neck cream crinkled-linen top.\n\n<Subject 2> is the product: a small amber glass bottle. <Picture 1> shows it in her hand with the dropper lifted out; <Picture 2> shows the same bottle closed, with its black ribbed dropper cap and a black label carrying a small white panel that reads \"OIL\" above \"Naturals cosmetics\".\n\n<Subject 3> is the room in <Picture 3>: a warm living room in cream and pale oak — a deep bouclé sofa with linen cushions, a round wooden coffee table on a jute rug, a rattan-fronted cabinet, open shelves with ceramics, a trailing green plant, and sheer curtains diffusing strong daylight from camera left.\n\n<Picture 1> is the authoritative reference for her face, hair, skin and top. <Picture 2> is authoritative for the bottle's colour, cap and label. <Picture 3> is authoritative for the room. If <Video 2> is supplied it sets camera style and motion only, never identity. Any reference that is not supplied is simply not used and nothing else here changes."
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+      "color": "#232",
+      "bgcolor": "#353"
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+        "Node name for S&R": "PrimitiveStringMultiline"
+      },
+      "title": "B · Beat 1 — first 15 s",
+      "widgets_values": [
+        "integrated_multimodal_description: Live-action, cinematic, filmed as one hand-held phone take in a warm cream-and-oak living room, strong daylight diffused through sheer curtains from camera left, shallow depth of field, visible skin texture and fine sensor grain, the faint unsteadiness of a real hand. The palette is cream, pale oak, jute and one note of green from a trailing plant.\n\n[Shot 1] the woman shown in <Picture 1>, preserving her face, long dark centre-parted hair swept over her right shoulder, warm tan skin and open-neck cream linen top exactly as they appear there, sits on the arm of a bouclé sofa holding the small amber glass bottle just below her chin. She lifts her eyes to the lens and smiles, then turns the bottle so the daylight passes through the amber glass. Behind her the round wooden coffee table and the jute rug fall out of focus. The camera pushes in with small amplitude at slow speed and settles just past her shoulders. The woman with a warm, low voice (S1) says: <d>[English] Okay, three weeks in, and I finally have something honest to say about this one.</d>\n\n[Shot 2] At 00:05.000, cut to a tight over-the-shoulder angle on her hands above the wooden coffee table. She lifts the black ribbed dropper clear of the amber bottle, squeezes once, and three slow drops gather at the glass tip, catching the window light. The bottle stands on the table beside a ceramic dish with its black label square to camera. The camera tilts down with small amplitude at slow speed, following her hands, then holds. Her linen sleeve brushes the table edge as she turns her wrist. The woman (S1) says: <d>[English] Three drops, damp skin, and it sinks in before I have finished counting to ten.</d>\n\n[Shot 3] At 00:10.000, cut back to a straight-on medium shot on the sofa. She presses the oil along one cheekbone with flat fingers, blinks slowly, and half-smiles as though catching herself enjoying it. Her skin reads one shade more luminous than in the first shot and the daylight through the curtains has softened. The camera performs a static shot with no movement at all and lets her finish the thought. The woman (S1) says: <d>[English] That is it. No tingle, no film, no drama, just skin that behaves.</d> She seats the dropper back into the amber bottle and sets it on the wooden table with a light knock of glass on wood, and the frame holds a beat on her hand leaving the shot."
+      ],
+      "color": "#232",
+      "bgcolor": "#353"
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+          "type": "STRING",
+          "links": [
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+        }
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+      },
+      "title": "C · Beat 2 — second 15 s",
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+      ],
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+      "bgcolor": "#353"
+    },
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+            2,
+            5
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PrimitiveStringMultiline"
+      },
+      "title": "D · Audio & music — set once",
+      "widgets_values": [
+        "overall_soundscape: Soft, absorbent acoustics of a furnished living room — fabric and rug soaking up the high end, a short dry decay and no room hiss. Faint birdsong beyond the curtained window, the light click of the glass dropper against the bottle neck, linen shifting as she moves, and the soft knock of glass set down on a wooden table. Traffic sits far outside, low and unintelligible. The speaking voice is close-miked at one to two feet from the phone, warm and low, unhurried, slightly breathy at the ends of sentences. No crowd, no overlapping speakers.\n\nnon_diegetic_music: Solo nylon-string guitar with a low upright bass, 82 BPM, 4/4, plucked eighth notes with the bass landing on beats one and three, no percussion. It enters four seconds in at low level, sits 12 dB under the voice, drops a further 4 dB under each spoken line and returns between them, and resolves on a held root note across the last two seconds."
+      ],
+      "color": "#232",
+      "bgcolor": "#353"
+    },
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+      "type": "StringFormat",
+      "pos": [
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+      "order": 4,
+      "mode": 0,
+      "inputs": [
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+          "type": "*",
+          "link": 1
+        },
+        {
+          "label": "b",
+          "name": "values.b",
+          "type": "*",
+          "link": 2
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            6
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "StringFormat"
+      },
+      "title": "Beat 1 prompt — instruction + B + D",
+      "widgets_values": [
+        "For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced.\n\n{a}\n\n{b}"
+      ]
+    },
+    {
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+      "type": "StringFormat",
+      "pos": [
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+      "order": 5,
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+      "inputs": [
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+          "type": "*",
+          "link": 3
+        },
+        {
+          "label": "b",
+          "name": "values.b",
+          "type": "*",
+          "link": 4
+        },
+        {
+          "label": "c",
+          "name": "values.c",
+          "type": "*",
+          "link": 5
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            8
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "StringFormat"
+      },
+      "title": "Beat 2 prompt — A + C + D",
+      "widgets_values": [
+        "{a}\n\n{b}\n\n{c}"
+      ]
+    },
+    {
+      "id": 60,
+      "type": "LoadImage",
+      "pos": [
+        1100,
+        -60
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            7,
+            11
+          ]
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "inputUrl": "https://images.pexels.com/photos/3865626/pexels-photo-3865626.jpeg?auto=compress&cs=tinysrgb&w=1200"
+      },
+      "title": "<Picture 1> · Subject — the one photo that decides face, product and room",
+      "widgets_values": [
+        "ugc_subject_woman_amber_serum.jpg",
+        "image"
+      ]
+    },
+    {
+      "id": 61,
+      "type": "LoadImage",
+      "pos": [
+        1100,
+        560
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 8,
+      "mode": 4,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            12
+          ]
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "inputUrl": "https://images.pexels.com/photos/8140898/pexels-photo-8140898.jpeg?auto=compress&cs=tinysrgb&w=1200"
+      },
+      "title": "<Picture 2> · Product — same amber dropper as <Picture 1>, safe to un-bypass",
+      "widgets_values": [
+        "ugc_product_amber_dropper_oil.jpg",
+        "image"
+      ]
+    },
+    {
+      "id": 62,
+      "type": "LoadImage",
+      "pos": [
+        1100,
+        1000
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 4,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            13
+          ]
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "title": "<Picture 3> · Location — warm cream-and-oak room, matches the light in <Picture 1>",
+      "widgets_values": [
+        "warm_living_room.png",
+        "image"
+      ]
+    },
+    {
+      "id": 63,
+      "type": "LoadVideo",
+      "pos": [
+        1100,
+        1440
+      ],
+      "size": [
+        340,
+        100
+      ],
+      "flags": {},
+      "order": 10,
+      "mode": 4,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            14
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadVideo",
+        "cnr_id": "comfy-core"
+      },
+      "title": "<Video 2> · Style / motion reference (optional — un-bypass)",
+      "widgets_values": [
+        "beat_00001_.mp4"
+      ]
+    },
+    {
+      "id": 64,
+      "type": "GetVideoComponents",
+      "pos": [
+        1100,
+        1600
+      ],
+      "size": [
+        340,
+        120
+      ],
+      "flags": {},
+      "order": 11,
+      "mode": 4,
+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 14
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            15
+          ]
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": [
+            16
+          ]
+        },
+        {
+          "name": "fps",
+          "type": "FLOAT",
+          "links": []
+        },
+        {
+          "name": "bit_depth",
+          "type": "INT",
+          "links": []
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "GetVideoComponents",
+        "cnr_id": "comfy-core"
+      },
+      "title": "<Video 2> → frames + audio"
+    },
+    {
+      "id": 65,
+      "type": "LoadAudio",
+      "pos": [
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+        1780
+      ],
+      "size": [
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+        140
+      ],
+      "flags": {},
+      "order": 12,
+      "mode": 4,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": [
+            17
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadAudio"
+      },
+      "title": "<Audio 1> · Voice lock (optional — un-bypass)",
+      "widgets_values": [
+        "audio_speaker1_woman.mp3",
+        null,
+        null
+      ]
+    },
+    {
+      "id": 130,
+      "type": "a7c1e0d4-6b52-4f18-9a30-2c8d5e7f4b91",
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+        460
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+      "flags": {},
+      "order": 20,
+      "mode": 0,
+      "inputs": [
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+          "type": "STRING",
+          "link": 6
+        },
+        {
+          "name": "first_frame",
+          "type": "IMAGE",
+          "link": 7
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "link": 36
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "link": 38
+        },
+        {
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+          "type": "INT",
+          "link": 41
+        },
+        {
+          "name": "steps",
+          "type": "INT",
+          "link": 43
+        },
+        {
+          "name": "seed",
+          "type": "INT",
+          "link": 45
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            9,
+            18,
+            22,
+            24
+          ]
+        },
+        {
+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": [
+            10,
+            20,
+            27
+          ]
+        }
+      ],
+      "properties": {
+        "proxyWidgets": []
+      },
+      "widgets_values": [],
+      "title": "Beat 1 · FL2VA (starts from your photo)",
+      "color": "#233",
+      "bgcolor": "#355"
+    },
+    {
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+      "type": "e4b93f27-8d15-4a6c-b072-3f9e1d6a85c0",
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+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
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+          "type": "STRING",
+          "link": 8
+        },
+        {
+          "name": "prev_frames",
+          "type": "IMAGE",
+          "link": 9
+        },
+        {
+          "name": "prev_audio",
+          "type": "AUDIO",
+          "link": 10
+        },
+        {
+          "name": "ref_image_0",
+          "type": "IMAGE",
+          "link": 11
+        },
+        {
+          "name": "ref_image_1",
+          "type": "IMAGE",
+          "link": 12
+        },
+        {
+          "name": "ref_image_2",
+          "type": "IMAGE",
+          "link": 13
+        },
+        {
+          "name": "ref_video_1",
+          "type": "IMAGE",
+          "link": 15
+        },
+        {
+          "name": "ref_video_audio_1",
+          "type": "AUDIO",
+          "link": 16
+        },
+        {
+          "name": "ref_audio_0",
+          "type": "AUDIO",
+          "link": 17
+        },
+        {
+          "name": "width",
+          "type": "INT",
+          "link": 37
+        },
+        {
+          "name": "height",
+          "type": "INT",
+          "link": 39
+        },
+        {
+          "name": "length",
+          "type": "INT",
+          "link": 42
+        },
+        {
+          "name": "steps",
+          "type": "INT",
+          "link": 44
+        },
+        {
+          "name": "seed",
+          "type": "INT",
+          "link": 46
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            19
+          ]
+        },
+        {
+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": [
+            21
+          ]
+        },
+        {
+          "name": "LAST_FRAME",
+          "type": "IMAGE",
+          "links": [
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+          ]
+        }
+      ],
+      "properties": {
+        "proxyWidgets": [
+          [
+            "70",
+            "ref_image_size"
+          ]
+        ]
+      },
+      "widgets_values": [],
+      "title": "Beat 2 · Ref2VA (carries the character forward)",
+      "color": "#232",
+      "bgcolor": "#353"
+    },
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+      "size": [
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+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
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+          "name": "BOOLEAN",
+          "type": "BOOLEAN",
+          "links": [
+            23,
+            26,
+            29
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "PrimitiveBoolean"
+      },
+      "title": "Second beat — 30 s total (off = 15 s, ~half the time)",
+      "widgets_values": [
+        true
+      ],
+      "color": "#232",
+      "bgcolor": "#353"
+    },
+    {
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+      "type": "ImageBatch",
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+      "flags": {},
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+      "mode": 0,
+      "inputs": [
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+          "type": "IMAGE",
+          "link": 18
+        },
+        {
+          "name": "image2",
+          "type": "IMAGE",
+          "link": 19
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            25
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ImageBatch"
+      },
+      "title": "Beat 1 + beat 2 frames"
+    },
+    {
+      "id": 42,
+      "type": "AudioConcat",
+      "pos": [
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+      ],
+      "size": [
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+      ],
+      "flags": {},
+      "order": 24,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "audio1",
+          "type": "AUDIO",
+          "link": 20
+        },
+        {
+          "name": "audio2",
+          "type": "AUDIO",
+          "link": 21
+        }
+      ],
+      "outputs": [
+        {
+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": [
+            28
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "AudioConcat"
+      },
+      "widgets_values": [
+        "after"
+      ],
+      "title": "Beat 1 + beat 2 audio"
+    },
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+      "type": "ImageFromBatch",
+      "pos": [
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+        1980
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+      "mode": 0,
+      "inputs": [
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+          "type": "IMAGE",
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+        },
+        {
+          "name": "batch_index",
+          "type": "INT",
+          "widget": {
+            "name": "batch_index"
+          },
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            30
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ImageFromBatch"
+      },
+      "widgets_values": [
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+        1
+      ],
+      "title": "Beat 1 last frame"
+    },
+    {
+      "id": 43,
+      "type": "ComfySwitchNode",
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+      ],
+      "size": [
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+      "flags": {},
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+      "mode": 0,
+      "inputs": [
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+          "name": "on_false",
+          "type": "IMAGE",
+          "link": 24
+        },
+        {
+          "name": "on_true",
+          "type": "IMAGE",
+          "link": 25
+        },
+        {
+          "name": "switch",
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+                "type": "IMAGE",
+                "links": [
+                  40
+                ]
+              }
+            ],
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+                "links": [
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+              }
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+                "name": "VAE",
+                "type": "VAE",
+                "links": [
+                  4,
+                  5
+                ]
+              }
+            ],
+            "properties": {
+              "Node name for S&R": "SelectVAEDevice"
+            },
+            "title": "Video VAE device — Ctrl+B + set gpu:1 only on small dual-GPU cards",
+            "widgets_values": [
+              "default"
+            ]
+          },
+          {
+            "id": 125,
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+            ],
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+            "inputs": [
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+                "name": "vae",
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+              }
+            ],
+            "outputs": [
+              {
+                "name": "VAE",
+                "type": "VAE",
+                "links": [
+                  6,
+                  7
+                ]
+              }
+            ],
+            "properties": {
+              "Node name for S&R": "SelectVAEDevice"
+            },
+            "title": "Audio VAE device — Ctrl+B + set gpu:1 only on small dual-GPU cards",
+            "widgets_values": [
+              "default"
+            ]
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+    "frontendVersion": "1.47.11"
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/docs/serviceTemplates/workflows/ocean_ugc_assemble.json b/docs/serviceTemplates/workflows/ocean_ugc_assemble.json
new file mode 100644
index 000000000..e27b1963a
--- /dev/null
+++ b/docs/serviceTemplates/workflows/ocean_ugc_assemble.json
@@ -0,0 +1,2013 @@
+{
+  "id": "f0a7b59b-e37f-4ce2-9564-e772ecd7d9c2",
+  "revision": 0,
+  "last_node_id": 62,
+  "last_link_id": 65,
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+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "## Assemble reel\n\nEach **Shot** group is one slot: pick a rendered `shot_…mp4` in its **file** dropdown. The dropdown lists what is in the bucket — hit ComfyUI's refresh icon if a clip you just rendered is not there yet. Re-takes never overwrite, so just don't select the ones you didn't like.\n\n### Using fewer than 8 shots\n\nRight-click the group → **Bypass Group Nodes**. Do this for every shot slot you are not using.\n\nBypassing only the *Load Video* node is not enough — the Image Batch and Audio Concat in that row still demand a second input and the run fails validation with `Required input is missing: image2`. That is why each row is grouped: bypassing the group takes out all four nodes at once, and the batch/concat nodes then pass their first input straight through, so the chain closes over the gap.\n\n**Shot 1 cannot be bypassed.** It heads both chains and supplies the reference voice.\n\nClick **Run** once. The reel saves as `reel_00001…` in the bucket root.\n\n### Voice — nothing to upload, nothing to type\n\nLTX generates each clip's audio from scratch, so the stitched track changes speaker every 5 seconds. **Voice Changer** converts the whole track to a single voice, taken from **Shot 1's own audio** — already in the graph.\n\nThis is speech-to-speech, not transcription: words, timing and room tone are left exactly as they are and only speaker identity is remapped. Nothing is re-read, nothing is retyped, and because no phoneme moves, the picture stays in sync and the lips still match.\n\n**A different voice?** Drag any other shot's **Get Video Components** `audio` output onto Voice Changer's `narrator_target`. Or upload a clean sample in **Reference voice override** and drag that in. Pick a shot with clear speech — a silent product shot makes a poor reference.\n\n- *refinement_passes* — 1 is usually right. Raise it if the conversion sounds half-applied; above ~5 it distorts.\n- *max_chunk_duration* — bounds VRAM on long audio, rejoining chunks with timing preserved. Leave at 30.\n\n**If Voice Changer / Voice engine load red or throw `ChatterboxVC not available`**, the node pack failed to install on launch — check the container log for `[ocean]`. Delete both nodes, then drag the last **Audio Concat** onto **Create reel**'s `audio` input: raw stitched audio, everything else unaffected."
+      ],
+      "title": "How to use"
+    },
+    {
+      "id": 10,
+      "type": "LoadVideo",
+      "pos": [
+        0.0,
+        0.0
+      ],
+      "size": [
+        340,
+        380
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            1
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "LoadVideo"
+      },
+      "widgets_values": [
+        "shot_00001_.mp4"
+      ],
+      "title": "Shot 1"
+    },
+    {
+      "id": 20,
+      "type": "GetVideoComponents",
+      "pos": [
+        400.0,
+        0.0
+      ],
+      "size": [
+        270,
+        126
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 1
+        }
+      ],
+      "outputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            9
+          ]
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": [
+            23,
+            65
+          ]
+        },
+        {
+          "name": "fps",
+          "type": "FLOAT",
+          "links": [
+            38
+          ]
+        },
+        {
+          "name": "bit_depth",
+          "type": "INT",
+          "links": []
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "GetVideoComponents"
+      },
+      "title": "Shot 1 components"
+    },
+    {
+      "id": 11,
+      "type": "LoadVideo",
+      "pos": [
+        0.0,
+        480.0
+      ],
+      "size": [
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+        380
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
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+          "link": 32
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+      "outputs": [
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+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": [
+            33
+          ]
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+      "properties": {
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+          "link": 33
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+        }
+      ],
+      "outputs": [
+        {
+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": [
+            35
+          ]
+        }
+      ],
+      "properties": {
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+          "link": 35
+        },
+        {
+          "name": "audio2",
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+          "link": 36
+        }
+      ],
+      "outputs": [
+        {
+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": [
+            61
+          ]
+        }
+      ],
+      "properties": {
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+      "inputs": [
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+          "name": "images",
+          "type": "IMAGE",
+          "link": 37
+        },
+        {
+          "name": "fps",
+          "type": "FLOAT",
+          "widget": {
+            "name": "fps"
+          },
+          "link": 38
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "shape": 7,
+          "link": 64
+        }
+      ],
+      "outputs": [
+        {
+          "name": "VIDEO",
+          "type": "VIDEO",
+          "links": [
+            40
+          ]
+        }
+      ],
+      "properties": {
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+        "Node name for S&R": "CreateVideo"
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+      "title": "Create reel"
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+      "inputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "link": 40
+        }
+      ],
+      "outputs": [
+        {
+          "name": "video",
+          "type": "VIDEO",
+          "links": null
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "Node name for S&R": "SaveVideo"
+      },
+      "widgets_values": [
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+        "auto",
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+      "title": "Output reel"
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+      "outputs": [
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+          "name": "AUDIO",
+          "type": "AUDIO",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadAudio"
+      },
+      "widgets_values": [
+        "reference_voice.mp3",
+        null,
+        null
+      ],
+      "title": "Reference voice override (optional — not wired)"
+    },
+    {
+      "id": 61,
+      "type": "ChatterBoxEngineNode",
+      "pos": [
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+        0.0
+      ],
+      "size": [
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+        190
+      ],
+      "flags": {},
+      "order": 21,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "TTS_engine",
+          "type": "TTS_ENGINE",
+          "links": [
+            63
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ChatterBoxEngineNode"
+      },
+      "widgets_values": [
+        "English",
+        "auto",
+        0.5,
+        0.8,
+        0.5,
+        "hmm ,, {seg} hmm ,,"
+      ],
+      "title": "Voice engine (ChatterBox)"
+    },
+    {
+      "id": 62,
+      "type": "UnifiedVoiceChangerNode",
+      "pos": [
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+        250.0
+      ],
+      "size": [
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+        180
+      ],
+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "TTS_engine",
+          "type": "TTS_ENGINE",
+          "link": 63
+        },
+        {
+          "name": "source_audio",
+          "type": "AUDIO",
+          "link": 61
+        },
+        {
+          "name": "narrator_target",
+          "type": "AUDIO",
+          "link": 65
+        }
+      ],
+      "outputs": [
+        {
+          "name": "converted_audio",
+          "type": "AUDIO",
+          "links": [
+            64
+          ]
+        },
+        {
+          "name": "conversion_info",
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "UnifiedVoiceChangerNode"
+      },
+      "widgets_values": [
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+      "title": "Voice Changer — one speaker for the whole reel"
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+      "scale": 1,
+      "offset": [
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+        0
+      ]
+    }
+  },
+  "version": 0.4
+}
diff --git a/docs/serviceTemplates/workflows/ocean_ugc_multishot.json b/docs/serviceTemplates/workflows/ocean_ugc_multishot.json
new file mode 100644
index 000000000..cefa72e02
--- /dev/null
+++ b/docs/serviceTemplates/workflows/ocean_ugc_multishot.json
@@ -0,0 +1,5334 @@
+{
+  "id": "0112e9af-5129-48ba-af78-92c40ac40b40",
+  "revision": 0,
+  "last_node_id": 744,
+  "last_link_id": 1912,
+  "nodes": [
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+      "type": "MarkdownNote",
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+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "How to use",
+      "properties": {},
+      "widgets_values": [
+        "## Multishot reel — one shot per Run\n\n**1.** *Style — every shot* is the part you never touch again: who the character is, what they wear, the room, the light, the palette, the camera look. Keeping this identical is what holds the reel together.\n\n**2.** *Scene — this shot* is the only box you edit between runs: the action, the camera move, what they say, the ambient sound.\n\n**3.** Run. Each clip lands in your bucket as `shot_…mp4`, and its **last frame is saved beside it** as `lastframe_…png`, automatically, every run.\n\n### How the next shot starts — the *Shot start* dial\n\n| Setting | What happens | Use it for |\n|---|---|---|\n| **1.0** | Frame 0 *is* the image. The shot continues seamlessly. | Staying in one continuous take |\n| **~0.35** | The image guides look and character, but the model composes a new frame. | **Hard cut to a new scene**, same character |\n| *No character image* ON | The image is ignored; everything comes from the style prompt. | Shot 1, or a deliberate fresh start |\n\nSo a **hard cut** is: pick a `lastframe_…png` of the character you want to keep, drop *Shot start* to about 0.35, and write the new scene. You get a new angle, new staging, new location — with the same face and wardrobe carried over. Push toward 0.5 if the character drifts; toward 0.25 if the old composition is still bleeding through.\n\nAt **1.0** the two sampler passes run at exactly the strengths this graph shipped with, so leaving the dial alone changes nothing.\n\n**4.** Repeat. Re-takes never overwrite, so bad ones are just skipped later.\n\n**5.** When every shot is good, switch to **Assemble reel**, pick the clips, and Run.\n\n720×1280 · 25 fps · with audio · duration is the *duration* widget on **Generate video**."
+      ]
+    },
+    {
+      "id": 724,
+      "type": "LoadImage",
+      "pos": [
+        0.0,
+        0.0
+      ],
+      "size": [
+        730,
+        660
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            1900
+          ]
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "subject-girl-holding-skincare-bottle.png",
+        "image"
+      ],
+      "title": "Image — first frame, or character reference on a hard cut"
+    },
+    {
+      "id": 725,
+      "type": "PrimitiveStringMultiline",
+      "pos": [
+        0.0,
+        720.0
+      ],
+      "size": [
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+        300
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            1901
+          ]
+        }
+      ],
+      "title": "Style — every shot",
+      "properties": {
+        "Node name for S&R": "PrimitiveStringMultiline"
+      },
+      "widgets_values": [
+        "A 24-year-old woman with shoulder-length dark wavy hair, light makeup, small gold hoop earrings, wearing an oversized cream knit sweater. Bright modern apartment, warm morning light through a large window, soft shadows, muted beige and sage palette. Shot on an iPhone, handheld, shallow depth of field, slight grain, authentic UGC look — not cinematic, not polished."
+      ]
+    },
+    {
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+      "type": "PrimitiveStringMultiline",
+      "pos": [
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+      ],
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+        300
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            1902
+          ]
+        }
+      ],
+      "title": "Scene — this shot",
+      "properties": {
+        "Node name for S&R": "PrimitiveStringMultiline"
+      },
+      "widgets_values": [
+        "She holds the moisturizer bottle up toward the camera and turns it slowly to show the label, then smiles and says: “Okay, this one actually did something.” Small natural handheld drift, no zoom. Room tone, faint street noise outside."
+      ]
+    },
+    {
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+      "type": "StringFormat",
+      "pos": [
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+      ],
+      "size": [
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+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
+        {
+          "label": "a",
+          "name": "values.a",
+          "type": "*",
+          "link": 1901
+        },
+        {
+          "label": "b",
+          "name": "values.b",
+          "type": "*",
+          "link": 1902
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            1903
+          ]
+        }
+      ],
+      "title": "Style + scene → prompt",
+      "properties": {
+        "Node name for S&R": "StringFormat"
+      },
+      "widgets_values": [
+        "{a}\n{b}"
+      ]
+    },
+    {
+      "id": 738,
+      "type": "PrimitiveBoolean",
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+      ],
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+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
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+}
diff --git a/docs/serviceTemplates/workflows/ocean_ugc_product.json b/docs/serviceTemplates/workflows/ocean_ugc_product.json
new file mode 100644
index 000000000..8692c0e19
--- /dev/null
+++ b/docs/serviceTemplates/workflows/ocean_ugc_product.json
@@ -0,0 +1,5059 @@
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+        "## Product → vertical clip\n\n**1.** Upload your product photo in *Product photo*.\n\n**2.** Edit the prompt inside *Generate video* to describe the shot you want.\n\n**3.** Run.\n\nThe clip saves to your bucket — 720×1280, 5 s, with ambient audio."
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+          ]
+        },
+        "class_type": "MultimodalGuider",
+        "_meta": {
+          "title": "🅛🅣🅧 Multimodal Guider"
+        }
+      },
+      "18": {
+        "inputs": {
+          "modality": "VIDEO",
+          "cfg": 3,
+          "stg": 0,
+          "rescale": 0,
+          "modality_scale": 3,
+          "parameters": [
+            "19",
+            0
+          ]
+        },
+        "class_type": "GuiderParameters",
+        "_meta": {
+          "title": "🅛🅣🅧 Guider Parameters"
+        }
+      },
+      "19": {
+        "inputs": {
+          "modality": "AUDIO",
+          "cfg": 7,
+          "stg": 0,
+          "rescale": 0,
+          "modality_scale": 3
+        },
+        "class_type": "GuiderParameters",
+        "_meta": {
+          "title": "🅛🅣🅧 Guider Parameters"
+        }
+      },
+      "21": {
+        "inputs": {
+          "audioUI": "",
+          "audio": [
+            "14",
+            0
+          ]
+        },
+        "class_type": "PreviewAudio",
+        "_meta": {
+          "title": "PreviewAudio"
+        }
+      },
+      "22": {
+        "inputs": {
+          "frame_rate": [
+            "23",
+            0
+          ],
+          "positive": [
+            "3",
+            0
+          ],
+          "negative": [
+            "4",
+            0
+          ]
+        },
+        "class_type": "LTXVConditioning",
+        "_meta": {
+          "title": "LTXVConditioning"
+        }
+      },
+      "23": {
+        "inputs": {
+          "value": 25
+        },
+        "class_type": "FloatConstant",
+        "_meta": {
+          "title": "Float Constant"
+        }
+      },
+      "26": {
+        "inputs": {
+          "frames_number": [
+            "27",
+            0
+          ],
+          "frame_rate": [
+            "42",
+            0
+          ],
+          "batch_size": 1
+        },
+        "class_type": "LTXVEmptyLatentAudio",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Empty Latent Audio"
+        }
+      },
+      "27": {
+        "inputs": {
+          "value": 105
+        },
+        "class_type": "INTConstant",
+        "_meta": {
+          "title": "INT Constant"
+        }
+      },
+      "28": {
+        "inputs": {
+          "video_latent": [
+            "43",
+            0
+          ],
+          "audio_latent": [
+            "26",
+            0
+          ],
+          "model": [
+            "44",
+            0
+          ]
+        },
+        "class_type": "LTXVConcatAVLatent",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Concat AV Latent"
+        }
+      },
+      "29": {
+        "inputs": {
+          "av_latent": [
+            "41",
+            0
+          ],
+          "model": [
+            "28",
+            1
+          ]
+        },
+        "class_type": "LTXVSeparateAVLatent",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Separate AV Latent"
+        }
+      },
+      "41": {
+        "inputs": {
+          "noise": [
+            "11",
+            0
+          ],
+          "guider": [
+            "17",
+            0
+          ],
+          "sampler": [
+            "8",
+            0
+          ],
+          "sigmas": [
+            "9",
+            0
+          ],
+          "latent_image": [
+            "28",
+            0
+          ]
+        },
+        "class_type": "SamplerCustomAdvanced",
+        "_meta": {
+          "title": "SamplerCustomAdvanced"
+        }
+      },
+      "42": {
+        "inputs": {
+          "a": [
+            "23",
+            0
+          ]
+        },
+        "class_type": "CM_FloatToInt",
+        "_meta": {
+          "title": "FloatToInt"
+        }
+      },
+      "43": {
+        "inputs": {
+          "width": 768,
+          "height": 512,
+          "length": [
+            "27",
+            0
+          ],
+          "batch_size": 1
+        },
+        "class_type": "EmptyLTXVLatentVideo",
+        "_meta": {
+          "title": "EmptyLTXVLatentVideo"
+        }
+      },
+      "44": {
+        "inputs": {
+          "torch_compile": true,
+          "disable_backup": false,
+          "model": [
+            "1",
+            0
+          ]
+        },
+        "class_type": "LTXVSequenceParallelMultiGPUPatcher",
+        "_meta": {
+          "title": "LTXVSequenceParallelMultiGPUPatcher"
+        }
+      },
+      "45": {
+        "inputs": {
+          "frame_idx": 0,
+          "strength": 1
+        },
+        "class_type": "LTXVAddGuide",
+        "_meta": {
+          "title": "LTXVAddGuide"
+        }
+      }
+    },
+    "comfy_fork_version": "feature/av_inference@a6994ed1",
+    "VHS_latentpreview": false,
+    "VHS_latentpreviewrate": 0,
+    "VHS_MetadataImage": true,
+    "VHS_KeepIntermediate": true,
+    "ue_links": []
+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/src/@types/C2D/ServiceOnDemand.ts b/src/@types/C2D/ServiceOnDemand.ts
index f859530b5..231cf91b1 100644
--- a/src/@types/C2D/ServiceOnDemand.ts
+++ b/src/@types/C2D/ServiceOnDemand.ts
@@ -20,12 +20,52 @@ export interface UserConfigurableEnvVar {
   key: string // env var name, passed in userData
   validation?: string // optional regex; validated at SERVICE_START time
   sensitive?: boolean // advisory hint for clients/UI (e.g. mask on input). The node receives ALL userData ECIES-encrypted, so this does not change node-side storage.
+  required?: boolean // advisory hint: the app cannot do its job without it (e.g. HF_TOKEN for a gated model). Not enforced node-side.
+}
+
+// ── Catalogue classification (advisory; consumed by UIs) ───────────────
+
+// How an entry presents itself. Absent means 'service' — every template published before this field.
+export type ServiceTemplateKind = 'service' | 'bundle'
+
+// Closed set so catalogue buckets stay consistent across nodes.
+export type ServiceTemplateCategory =
+  | 'image'
+  | 'video'
+  | 'llm'
+  | 'serving'
+  | 'notebook'
+  | 'embeddings'
+  | 'app'
+
+// One thing a bundle pre-downloads. Display metadata only: the template's own
+// `command`/`commandFile` does the fetching, and nothing here is verified node-side.
+export interface TemplateIncludedItem {
+  name: string
+  kind: 'model' | 'workflow' | 'customnode' | 'other'
+  sizeGb?: number // download size — drives the "N models, X GB" line and setup-time hints
+  repoId?: string // Hugging Face repo id, when the item is a plain HF repo
+  url?: string // direct download URL for anything that isn't a plain HF repo
+}
+
+export interface ServiceTemplateWorkflow {
+  id: string // [A-Za-z0-9_.-]+ — becomes a filename and a ?template= value
+  name: string
+  description?: string
+  file?: string // path relative to the templates dir; inlined into `graph` at load time
+  graph?: unknown // the workflow JSON itself
 }
 
 export interface ServiceTemplate {
   id: string // [a-z0-9][a-z0-9_-]{0,63}
   name?: string
   description?: string
+  // ── Catalogue metadata — advisory, never affects how the container runs ──
+  kind?: ServiceTemplateKind // default 'service'
+  service?: string // bundles only: id of the service template this is a variant of
+  outcome?: string // bundles only: the one concrete thing this gets done
+  category?: ServiceTemplateCategory
+  includes?: TemplateIncludedItem[] // bundles only: manifest of what the command downloads
   // Image specification — exactly one of (tag | checksum | dockerfile) must be set:
   image: string // base image name
   tag?: string // e.g. "latest" — mutually exclusive with checksum/dockerfile
@@ -36,9 +76,13 @@ export interface ServiceTemplate {
   envVars?: Record<string, string> // fixed env vars — operator-set, never returned to callers
   userConfigurableEnvVars?: UserConfigurableEnvVar[]
   command?: string[] // Docker CMD override; ${KEY} expanded from userData
+  // path relative to the templates dir; inlined into command[0] at load time and dropped
+  // (mutually exclusive with `command`)
+  commandFile?: string
   entrypoint?: string[] // Docker ENTRYPOINT override
   requiredResources?: TemplateResourceRequirement[] // MUST satisfy — gates SERVICE_START
   recommendedResources?: TemplateResourceRequirement[] // SHOULD satisfy — used for scoring + UI
+  workflows?: ServiceTemplateWorkflow[] // client-selectable graphs; no operator secrets, so public
 }
 
 // ── Public / sanitized types ──────────────────────────────────────────
@@ -141,6 +185,7 @@ export interface ServiceJob {
   exposedPorts: number[]
   endpoints: ServiceEndpoint[]
   userData?: string // ECIES(node key) string sent by the client; stored as-is, decrypted only at start/restart; never returned
+  outputBucketId?: string // persistent-storage bucket bind-mounted at /data/outputs
   resources: ComputeResourceRequestWithPrice[]
   payment: DBComputeJobPayment // initial start payment
   extendPayments?: DBComputeJobPayment[] // one entry per successful SERVICE_EXTEND
diff --git a/src/@types/commands.ts b/src/@types/commands.ts
index 358cab0f0..a8ea49141 100644
--- a/src/@types/commands.ts
+++ b/src/@types/commands.ts
@@ -422,6 +422,7 @@ export interface ServiceStartCommand extends Command {
   resources?: ComputeResourceRequest[]
   duration: number // seconds; capped by serviceOnDemand.maxDurationSeconds
   userData?: string // ECIES-encrypted (to the node's public key) JSON object → the container's env-var map
+  outputBucketId?: string // persistent-storage bucket bind-mounted at /data/outputs
   payment: { chainId: number; token: string }
 }
 
diff --git a/src/components/c2d/compute_engine_base.ts b/src/components/c2d/compute_engine_base.ts
index 977ceb126..714084af8 100644
--- a/src/components/c2d/compute_engine_base.ts
+++ b/src/components/c2d/compute_engine_base.ts
@@ -100,7 +100,8 @@ export abstract class C2DEngine {
     owner: string,
     payment: DBComputeJobPayment,
     serviceId: string,
-    userData?: string // ECIES-encrypted; the engine decrypts it transiently into the container env
+    userData?: string, // ECIES-encrypted; the engine decrypts it transiently into the container env
+    outputBucketId?: string
   ): Promise<ServiceJob | null> {
     return null
   }
diff --git a/src/components/c2d/compute_engine_docker.ts b/src/components/c2d/compute_engine_docker.ts
index 0c250addb..4f80e916a 100755
--- a/src/components/c2d/compute_engine_docker.ts
+++ b/src/components/c2d/compute_engine_docker.ts
@@ -72,6 +72,7 @@ import {
   SERVICE_START_PENDING_STATUSES
 } from '../../@types/C2D/ServiceOnDemand.js'
 import type { ServiceJob } from '../../@types/C2D/ServiceOnDemand.js'
+import type { DockerMountObject } from '../../@types/PersistentStorage.js'
 import { resolveServiceImage } from './serviceResourceMatching.js'
 import {
   allocateHostPort,
@@ -3345,6 +3346,16 @@ export class C2DEngineDocker extends C2DEngine {
     }
   }
 
+  // Bind-mount for the job's output bucket, when it has one. Throws instead of returning an
+  // empty list: an unmounted container silently re-downloads its models and writes results
+  // nowhere, so a mount failure must fail the start/restart.
+  private async serviceOutputMounts(job: ServiceJob): Promise<DockerMountObject[]> {
+    if (!job.outputBucketId) return []
+    const ps = OceanNode.getInstance().getPersistentStorage()
+    if (!ps) throw new Error('Persistent storage is not configured on this node')
+    return [await ps.getDockerOutputMountObject(job.outputBucketId, job.owner)]
+  }
+
   // Handler-facing: persist the initial Starting record and return immediately so the HTTP
   // response carries the serviceId without waiting for escrow/image/container. The background
   // loop then calls processServiceStart() to advance it. Persisting Starting also reserves the
@@ -3364,7 +3375,8 @@ export class C2DEngineDocker extends C2DEngine {
     owner: string,
     payment: DBComputeJobPayment,
     serviceId: string,
-    userData?: string
+    userData?: string,
+    outputBucketId?: string
   ): Promise<ServiceJob | null> {
     const containerImage = resolveServiceImage(
       image,
@@ -3396,6 +3408,7 @@ export class C2DEngineDocker extends C2DEngine {
       exposedPorts,
       endpoints: [],
       userData, // stored as received (ECIES-encrypted); decrypted transiently at container start
+      outputBucketId,
       resources: resources.map((r) => ({ id: r.id, amount: r.amount })),
       payment
     }
@@ -3626,7 +3639,8 @@ export class C2DEngineDocker extends C2DEngine {
           NetworkMode: network.id,
           SecurityOpt: ['no-new-privileges'], // security plan #5
           CapDrop: ['ALL'],
-          PidsLimit: 512
+          PidsLimit: 512,
+          Mounts: await this.serviceOutputMounts(job)
         }
       })
       CORE_LOGGER.debug(
@@ -4325,7 +4339,8 @@ export class C2DEngineDocker extends C2DEngine {
           NetworkMode: network.id,
           SecurityOpt: ['no-new-privileges'],
           CapDrop: ['ALL'],
-          PidsLimit: 512
+          PidsLimit: 512,
+          Mounts: await this.serviceOutputMounts(job)
         }
       })
       CORE_LOGGER.debug(
diff --git a/src/components/core/service/startService.ts b/src/components/core/service/startService.ts
index 585ce69bd..e603d643b 100644
--- a/src/components/core/service/startService.ts
+++ b/src/components/core/service/startService.ts
@@ -15,7 +15,7 @@ import type {
   ComputeEnvironment,
   DBComputeJobPayment as Payment
 } from '../../../@types/C2D/C2D.js'
-import { generateUniqueID } from '../compute/utils.js'
+import { generateUniqueID, validateOutputBucket } from '../compute/utils.js'
 import { validateAccess } from '../compute/startCompute.js'
 import { decryptUserData, toPublicServiceJob } from './utils.js'
 
@@ -122,6 +122,18 @@ export class ServiceStartHandler extends CommandHandler {
         }
       }
 
+      // Must run before createServiceJob claims escrow, or a bad bucket burns the user's
+      // payment. No-op when the task carries no bucket. '' = no `output` dir to conflict with.
+      const outputBucketCheck = await validateOutputBucket(
+        node,
+        task.outputBucketId,
+        '',
+        task.consumerAddress
+      )
+      if (outputBucketCheck.status.httpStatus !== 200) {
+        return outputBucketCheck
+      }
+
       // 4. Duration limit
       const sod = engine.getC2DConfig().connection?.serviceOnDemand
       const maxDuration = sod?.maxDurationSeconds ?? 86400
@@ -237,7 +249,8 @@ export class ServiceStartHandler extends CommandHandler {
         task.consumerAddress,
         payment,
         serviceId,
-        task.userData
+        task.userData,
+        task.outputBucketId
       )
 
       return {
diff --git a/src/components/core/service/templateLoader.ts b/src/components/core/service/templateLoader.ts
index fc3c99abc..36bb2f8b2 100644
--- a/src/components/core/service/templateLoader.ts
+++ b/src/components/core/service/templateLoader.ts
@@ -1,9 +1,33 @@
 import { readdir, readFile } from 'fs/promises'
-import { join } from 'path'
-import type { ServiceTemplate } from '../../../@types/C2D/ServiceOnDemand.js'
+import { join, resolve, sep } from 'path'
+import type {
+  ServiceTemplate,
+  ServiceTemplateWorkflow
+} from '../../../@types/C2D/ServiceOnDemand.js'
 import { ServiceTemplateSchema } from '../../../utils/config/schemas.js'
 import { CORE_LOGGER } from '../../../utils/logging/common.js'
 
+// Reads a file a template points at. Null (with a warning naming `what`) when the path
+// escapes the templates dir or cannot be read — template paths are author-controlled, so
+// both are authoring mistakes rather than node failures.
+async function readTemplateFile(
+  resolvedDir: string,
+  relPath: string,
+  what: string
+): Promise<string | null> {
+  const target = resolve(resolvedDir, relPath)
+  if (target !== resolvedDir && !target.startsWith(resolvedDir + sep)) {
+    CORE_LOGGER.warn(`${what}: "${relPath}" resolves outside the templates dir`)
+    return null
+  }
+  try {
+    return await readFile(target, 'utf8')
+  } catch (e) {
+    CORE_LOGGER.warn(`${what}: cannot read "${relPath}" (${e.message})`)
+    return null
+  }
+}
+
 // Re-reads on every call so operators can add/edit/remove template files without a restart.
 // (If profiling ever shows this is hot, add an mtime-keyed cache — semantics stay identical.)
 export async function loadServiceTemplates(dir?: string): Promise<ServiceTemplate[]> {
@@ -25,6 +49,7 @@ export async function loadServiceTemplates(dir?: string): Promise<ServiceTemplat
     return []
   }
 
+  const resolvedDir = resolve(dir)
   const byId = new Map<string, ServiceTemplate>()
   for (const file of files) {
     let raw: unknown
@@ -54,6 +79,37 @@ export async function loadServiceTemplates(dir?: string): Promise<ServiceTemplat
         )
         continue
       }
+      if (tmpl.commandFile) {
+        // No command means nothing to run, so an unreadable file skips the whole template.
+        const content = await readTemplateFile(
+          resolvedDir,
+          tmpl.commandFile,
+          `Skipping service template "${tmpl.id}"`
+        )
+        if (content === null) continue
+        delete tmpl.commandFile
+        tmpl.command = [content]
+      }
+      if (tmpl.workflows?.length) {
+        // A workflow with a missing/malformed file is dropped, not the whole template.
+        const resolved: ServiceTemplateWorkflow[] = []
+        for (const wf of tmpl.workflows) {
+          if (!wf.file) {
+            resolved.push(wf)
+            continue
+          }
+          const dropping = `Template "${tmpl.id}": dropping workflow "${wf.id}"`
+          const content = await readTemplateFile(resolvedDir, wf.file, dropping)
+          if (content === null) continue
+          try {
+            const { file, ...rest } = wf
+            resolved.push({ ...rest, graph: JSON.parse(content) })
+          } catch (e) {
+            CORE_LOGGER.warn(`${dropping} — invalid JSON in "${wf.file}" (${e.message})`)
+          }
+        }
+        tmpl.workflows = resolved
+      }
       byId.set(tmpl.id, tmpl)
     }
   }
diff --git a/src/components/httpRoutes/compute.ts b/src/components/httpRoutes/compute.ts
index b22cd82b7..6d7507199 100644
--- a/src/components/httpRoutes/compute.ts
+++ b/src/components/httpRoutes/compute.ts
@@ -408,6 +408,7 @@ computeRoutes.post(`${SERVICES_API_BASE_PATH}/serviceStart`, async (req, res) =>
     resources: (req.body.resources as ComputeResourceRequest[]) || undefined,
     duration: req.body.duration as number,
     userData: (req.body.userData as string) || undefined,
+    outputBucketId: (req.body.outputBucketId as string) || undefined,
     payment: req.body.payment,
     authorization: req.headers?.authorization,
     caller: req.caller
diff --git a/src/test/unit/service/serviceHandlers.test.ts b/src/test/unit/service/serviceHandlers.test.ts
index 9e0ab3150..6c46a6ad3 100644
--- a/src/test/unit/service/serviceHandlers.test.ts
+++ b/src/test/unit/service/serviceHandlers.test.ts
@@ -160,6 +160,12 @@ function buildFakes(opts: FakeOpts = {}) {
     fetchServiceTemplates: sinon.stub().resolves([{ ...TEMPLATE }])
   }
 
+  // Valid by default; override validateBucket/assertConsumerAllowedForBucket to fail it.
+  const persistentStorage: any = {
+    validateBucket: sinon.stub(),
+    assertConsumerAllowedForBucket: sinon.stub().resolves(undefined)
+  }
+
   const node: any = {
     getRequestMap: () => new Map(),
     getConfig: (): any => ({
@@ -172,10 +178,11 @@ function buildFakes(opts: FakeOpts = {}) {
     }),
     getAuth: () => ({
       validateAuthenticationOrToken: () => Promise.resolve({ valid: true })
-    })
+    }),
+    getPersistentStorage: () => persistentStorage
   }
 
-  return { node, engine, engines, escrow, env }
+  return { node, engine, engines, escrow, env, persistentStorage }
 }
 
 function body(response: any): Promise<any> {
@@ -947,6 +954,29 @@ describe('Service handlers', () => {
       const out = await body(res)
       expect(out[0]).to.not.have.property('userData')
     })
+
+    it('forwards outputBucketId to createServiceJob', async () => {
+      const { node, engine } = buildFakes()
+      const res = await new ServiceStartHandler(node).handle({
+        ...baseTask,
+        outputBucketId: 'bucket-42'
+      } as any)
+      expect(res.status.httpStatus).to.equal(200)
+      expect(engine.createServiceJob.lastCall.args.at(-1)).to.equal('bucket-42')
+    })
+
+    it('400 with a clear message when outputBucketId is invalid, and no job record is created (fail fast)', async () => {
+      const { node, engine, persistentStorage } = buildFakes()
+      persistentStorage.validateBucket.throws(new Error('bucket not found'))
+      const res = await new ServiceStartHandler(node).handle({
+        ...baseTask,
+        outputBucketId: 'bad-bucket'
+      } as any)
+      expect(res.status.httpStatus).to.equal(400)
+      expect(String(res.status.error)).to.contain('bucket not found')
+      // no job record may be created for a start that was refused upfront (see startService.ts)
+      expect(engine.createServiceJob.called).to.equal(false)
+    })
   })
 
   describe('ServiceGetStreamableLogsHandler', () => {
diff --git a/src/test/unit/service/serviceSchemas.test.ts b/src/test/unit/service/serviceSchemas.test.ts
index 1377e7f31..6950fb4aa 100644
--- a/src/test/unit/service/serviceSchemas.test.ts
+++ b/src/test/unit/service/serviceSchemas.test.ts
@@ -1,4 +1,6 @@
 import { expect } from 'chai'
+import { readFileSync } from 'fs'
+import { join } from 'path'
 import {
   ServiceTemplateSchema,
   ServiceOnDemandConfigSchema,
@@ -84,6 +86,17 @@ describe('ServiceTemplateSchema', () => {
       }).success
     ).to.equal(true)
   })
+  it('ltx-video-ugc-product/multishot, minimax-h3-video-ugc-multishot: templates match ServiceTemplateSchema', () => {
+    const dir = join(process.cwd(), 'docs', 'serviceTemplates')
+    for (const file of [
+      'ltx-video-ugc-product.json',
+      'ltx-video-ugc-multishot.json',
+      'minimax-h3-video-ugc-multishot.json'
+    ]) {
+      const tmpl = JSON.parse(readFileSync(join(dir, file), 'utf8'))
+      expect(ServiceTemplateSchema.safeParse(tmpl).success).to.equal(true)
+    }
+  })
 })
 
 describe('ServiceOnDemandConfigSchema', () => {
diff --git a/src/test/unit/service/templateLoader.test.ts b/src/test/unit/service/templateLoader.test.ts
index 791f5275f..b6059d3e7 100644
--- a/src/test/unit/service/templateLoader.test.ts
+++ b/src/test/unit/service/templateLoader.test.ts
@@ -1,6 +1,6 @@
 import { expect } from 'chai'
-import { mkdtempSync, writeFileSync, rmSync } from 'fs'
-import { join } from 'path'
+import { mkdtempSync, mkdirSync, writeFileSync, rmSync } from 'fs'
+import { join, relative } from 'path'
 import { tmpdir } from 'os'
 import { loadServiceTemplates } from '../../../components/core/service/templateLoader.js'
 
@@ -83,4 +83,77 @@ describe('loadServiceTemplates', () => {
     writeFileSync(join(dir, 'b.json'), JSON.stringify(valid('b')))
     expect(await loadServiceTemplates(dir)).to.have.length(2)
   })
+
+  it('10. workflows[].file is inlined into graph and file is dropped', async () => {
+    mkdirSync(join(dir, 'workflows'))
+    writeFileSync(
+      join(dir, 'workflows', 'w.json'),
+      JSON.stringify({ nodes: [{ id: 1 }] })
+    )
+    writeFileSync(
+      join(dir, 'a.json'),
+      JSON.stringify({
+        ...valid('tmpl-wf'),
+        workflows: [
+          { id: 'ocean_ugc_product', name: 'Product', file: 'workflows/w.json' }
+        ]
+      })
+    )
+    const [tmpl] = await loadServiceTemplates(dir)
+    expect(tmpl.workflows[0].graph).to.deep.equal({ nodes: [{ id: 1 }] })
+    expect(tmpl.workflows[0]).to.not.have.property('file')
+  })
+
+  it('11. workflows[].file escaping the templates dir via ../ is dropped, template survives', async () => {
+    const outsideDir = mkdtempSync(join(tmpdir(), 'svc-templates-outside-'))
+    try {
+      const secretPath = join(outsideDir, 'secret.json')
+      writeFileSync(secretPath, JSON.stringify({ secret: true }))
+      writeFileSync(
+        join(dir, 'a.json'),
+        JSON.stringify({
+          ...valid('tmpl-escape'),
+          workflows: [
+            { id: 'escape', name: 'Escape', file: relative(dir, secretPath) },
+            { id: 'inline', name: 'Inline', graph: { nodes: [] } }
+          ]
+        })
+      )
+      const [tmpl] = await loadServiceTemplates(dir)
+      expect(tmpl.id).to.equal('tmpl-escape')
+      expect(tmpl.workflows.map((w) => w.id)).to.deep.equal(['inline'])
+    } finally {
+      rmSync(outsideDir, { recursive: true, force: true })
+    }
+  })
+
+  it('12. commandFile is inlined into command[0] and the key is dropped', async () => {
+    writeFileSync(join(dir, 'boot.sh'), '#!/bin/bash\necho hi\n')
+    writeFileSync(
+      join(dir, 'a.json'),
+      JSON.stringify({ ...valid('tmpl-cmd'), commandFile: 'boot.sh' })
+    )
+    const [tmpl] = await loadServiceTemplates(dir)
+    expect(tmpl.command[0]).to.equal('#!/bin/bash\necho hi\n')
+    expect(tmpl).to.not.have.property('commandFile')
+  })
+
+  it('13. commandFile escaping the templates dir skips the whole template', async () => {
+    const outsideDir = mkdtempSync(join(tmpdir(), 'svc-templates-outside-'))
+    try {
+      const secret = join(outsideDir, 'secret.sh')
+      writeFileSync(secret, 'echo pwned\n')
+      writeFileSync(
+        join(dir, 'a.json'),
+        JSON.stringify({
+          ...valid('tmpl-escape-cmd'),
+          commandFile: relative(dir, secret)
+        })
+      )
+      // A bad workflow is dropped on its own; a template with no command is not servable.
+      expect(await loadServiceTemplates(dir)).to.deep.equal([])
+    } finally {
+      rmSync(outsideDir, { recursive: true, force: true })
+    }
+  })
 })
diff --git a/src/utils/config/schemas.ts b/src/utils/config/schemas.ts
index 5b4820384..3bb87af80 100644
--- a/src/utils/config/schemas.ts
+++ b/src/utils/config/schemas.ts
@@ -339,10 +339,40 @@ const UserConfigurableEnvVarSchema = z
   .object({
     key: z.string().min(1),
     validation: z.string().optional(),
-    sensitive: z.boolean().optional()
+    sensitive: z.boolean().optional(),
+    // Advisory only — the node never rejects a start for a missing value; clients use it to
+    // decide whether to prompt (e.g. HF_TOKEN for a gated model).
+    required: z.boolean().optional()
   })
   .strict()
 
+// Catalogue classification. Purely descriptive: none of it changes how the container runs,
+// it travels to clients through the sanitizer and drives how the entry is presented.
+const TemplateIncludedItemSchema = z
+  .object({
+    name: z.string().min(1),
+    kind: z.enum(['model', 'workflow', 'customnode', 'other']),
+    sizeGb: z.number().positive().optional(),
+    repoId: z.string().min(1).optional(),
+    url: z.string().url().optional()
+  })
+  .strict()
+
+const ServiceTemplateWorkflowSchema = z
+  .object({
+    id: z.string().regex(/^[A-Za-z0-9_.-]+$/, {
+      message: 'Workflow id must match [A-Za-z0-9_.-]+'
+    }),
+    name: z.string().min(1),
+    description: z.string().optional(),
+    file: z.string().min(1).optional(),
+    graph: z.unknown().optional()
+  })
+  .strict()
+  .refine((w) => !!w.file !== !!w.graph, {
+    message: 'A workflow must set exactly one of "file" or "graph"'
+  })
+
 export const ServiceTemplateSchema = z
   .object({
     id: z.string().regex(/^[a-z0-9][a-z0-9_-]{0,63}$/, {
@@ -350,6 +380,19 @@ export const ServiceTemplateSchema = z
     }),
     name: z.string().optional(),
     description: z.string().optional(),
+    // Catalogue metadata (all optional; absent `kind` means 'service')
+    kind: z.enum(['service', 'bundle']).optional(),
+    service: z
+      .string()
+      .regex(/^[a-z0-9][a-z0-9_-]{0,63}$/, {
+        message: '"service" must be a template id matching [a-z0-9][a-z0-9_-]{0,63}'
+      })
+      .optional(),
+    outcome: z.string().min(1).optional(),
+    category: z
+      .enum(['image', 'video', 'llm', 'serving', 'notebook', 'embeddings', 'app'])
+      .optional(),
+    includes: z.array(TemplateIncludedItemSchema).optional(),
     image: z.string().min(1),
     tag: z.string().min(1).optional(),
     checksum: z
@@ -362,9 +405,11 @@ export const ServiceTemplateSchema = z
     envVars: z.record(z.string()).optional(),
     userConfigurableEnvVars: z.array(UserConfigurableEnvVarSchema).optional(),
     command: z.array(z.string()).optional(),
+    commandFile: z.string().min(1).optional(),
     entrypoint: z.array(z.string()).optional(),
     requiredResources: z.array(TemplateResourceRequirementSchema).optional(),
-    recommendedResources: z.array(TemplateResourceRequirementSchema).optional()
+    recommendedResources: z.array(TemplateResourceRequirementSchema).optional(),
+    workflows: z.array(ServiceTemplateWorkflowSchema).optional()
   })
   .strict()
   .superRefine((tmpl, ctx) => {
@@ -412,6 +457,31 @@ export const ServiceTemplateSchema = z
         path: ['additionalDockerFiles']
       })
     }
+
+    // A bundle without a parent id renders as a plain service in clients (they key the
+    // grouping off `service`), so a half-declared bundle is a template bug, not a variant.
+    if (tmpl.kind === 'bundle' && !tmpl.service) {
+      ctx.addIssue({
+        code: z.ZodIssueCode.custom,
+        message: '"service" (the parent template id) is required when kind is "bundle"',
+        path: ['service']
+      })
+    }
+    if (tmpl.service && tmpl.kind !== 'bundle') {
+      ctx.addIssue({
+        code: z.ZodIssueCode.custom,
+        message: '"service" only applies to a bundle — set kind: "bundle" or drop it',
+        path: ['service']
+      })
+    }
+
+    if (tmpl.command && tmpl.commandFile) {
+      ctx.addIssue({
+        code: z.ZodIssueCode.custom,
+        message: '"command" and "commandFile" are mutually exclusive — set at most one',
+        path: ['commandFile']
+      })
+    }
   })
 
 // ── Per-daemon service config (no templates here) ─────────────────────