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 Example set conversion (one example per supported model, new files, old pairs removed after being superseded): - New *ImageEncode/*EncodeDecode example workflows for SDXL, Flux.1, Flux.2 Dev, Flux2 Klein, SD3.5, Hunyuan, Ideogram4, Krea2, Qwen Edit, Qwen Image,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.
1319 lines
21 KiB
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1319 lines
21 KiB
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"[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n) | [教程](https://docs.comfy.org/zh-CN/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model**\n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│ ├───📂 diffusion_models/\n│ │ ├─── wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors\n│ │ └─── wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors\n│ ├───📂 text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors \n│ └───📂 vae/\n│ └── wan_2.1_vae.safetensors\n```\n"
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