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59aa08dff04c773b285aa8971bd034b36c05896c
scraed-LanPaint/example_workflows/Ideogram4_EncodeDecode_Inpaint.json
T
scraed 59aa08dff0 Store masks inside exported videos and convert the example set to ImageEncode/ImageDecode 
Mask-in-video (the masks now travel with the video file):
- New videometa module: write/read a JSON payload under the lanpaint-mask
  mp4 metadata tag via PyAV (stream copy, movflags=use_metadata_tags), so
  exporting produces a NEW file and the source is never modified.
- Two server routes: GET /lanpaint/video_mask_meta (read the payload back)
  and POST /lanpaint/export_mask_video (remux into input/<base>_masked.mp4).
- The mask editor exports the painted keyframes (base64 PNGs) + audio
  intervals into the video; loading a video with the tag auto-restores the
  masks (editor and node preview). A video without the tag clears the
  workflow's masks - the video is the source of truth. The export also
  offers a native save dialog (showSaveFilePicker) when available.
- The video widget upload now uses video_upload so MP4s are selectable in
  the file chooser (was image_upload).
- LanPaint_ImageEncode accepts 5D latents from video VAEs encoding a single
  image (e.g. the Hunyuan video VAE) - fixes the Hunyuan example.

Example set conversion (one example per supported model, new files, old
pairs removed after being superseded):
- New *ImageEncode/*EncodeDecode example workflows for SDXL, Flux.1,
  Flux.2 Dev, Flux2 Klein, SD3.5, Hunyuan, Ideogram4, Krea2, Qwen Edit,
  Qwen Image, Z-Image, Wan 2.2 and MiniMax H3 (AV), all using
  LanPaint_ImageEncode/ImageDecode instead of VAEEncode +
  SetLatentNoiseMask + VAEDecode + MaskBlend; every example references its
  own example folder's masked input (hash-verified); preview jpgs generated
  from the test runs; the H3 example ships its output mp4 as a preview.
- HiDream example removed on request; Example_29 added with the H3 masked
  input video.

Fixes along the way: normalize node input.link/output.links fields against
the links arrays in all converted workflows (the frontend renders
null-link nodes as disconnected); stale Inpainting_mode widget removed from
the Flux.2 sampler; Lambda defaults 5.0 (first-order scheme); torchaudio
resample test assertion relaxed (edge ringing); the videometa tests updated
to the final export signature.
2026-08-09 20:41:45 +08:00

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"### About the model\n\nThe model is trained on **structured JSON captions** (scene summary, style block, background, and optional per-object descriptions with bounding boxes and hex color palettes). Official inference validates prompts against that schema. Guidance uses **flow-matching** with **asymmetric classifier-free guidance** (the unconditional pass drops text tokens)—not a separate negative prompt string.\n\n**NOTE: If you see \"Image blocked by safety filter\" it is because of safety training in the model itself, ComfyUI does not have any safety filter.**\n---\n\n### How to build prompts here\n\n**(a) Raw input**: Paste or type directly into the subgraph. You may use plain natural language, but **structured JSON** (as in the subgraph default) gives the most predictable layout and style control.\n\n**(b) Model-assisted (LLM):** Use the **Ideogram4 Caption Prompt Template** output with any LLM tools to obtain the JSON format prompt"
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"Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links (for Local Users)\n\n**vae**\n\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors)\n\n**diffusion_models**\n\n- [ideogram4_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Ideogram-4/resolve/main/diffusion_models/ideogram4_fp8_scaled.safetensors)\n- [ideogram4_unconditional_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Ideogram-4/resolve/main/diffusion_models/ideogram4_unconditional_fp8_scaled.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_8b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen3-VL/resolve/main/text_encoders/qwen3vl_8b_fp8_scaled.safetensors)\n- [gemma4_e4b_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e4b_it_fp8_scaled.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ └── flux2-vae.safetensors\n│ ├── 📂 diffusion_models/\n│ │ ├── ideogram4_fp8_scaled.safetensors\n│ │ └── ideogram4_unconditional_fp8_scaled.safetensors\n│ └── 📂 text_encoders/\n│ ├── qwen3vl_8b_fp8_scaled.safetensors\n│ └── gemma4_e4b_it_fp8_scaled.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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