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工作流 / 图像 / ChronoEdit 14B:图像编辑
ChronoEdit 14B:图像编辑

ChronoEdit 14B:图像编辑

ChronoEdit 14B: Image Edit

基于视频模型对图像的动态理解对图像进行编辑,创造符合物理规律的新图像并保持角色和风格的一致性。

图像 4 个节点 1 个输入 34 次使用 ComfyUI ≥ 0.4.0 ComfyUI 54 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 5 个权重文件,其中 5 个能在本站模型库里找到。

chrono_edit_14B_fp16.safetensors 在模型库查看
chronoedit_distill_lora.safetensors 在模型库查看
clip_vision_h.safetensors 在模型库查看
umt5_xxl_fp8_e4m3fn_scaled.safetensors 在模型库查看
wan_2.1_vae.safetensors 在模型库查看

节点构成

LoadImage × 1
MarkdownNote × 1
SaveImage × 1
2b61e18f-9327-49e6-98af-da8e557c2336 × 1

官方标注的模型

Wan2.1ChronoEditNvidia

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

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76 "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model links\n\n- [Hugging Face:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n- [Hugging Face:Comfy-Org/Wan_2.2_ComfyUI_Repackaged](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n- [ModelScope:Comfy-Org/Wan_2.2_ComfyUI_Repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\n\n**text_encoders**\n\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) (6.27 GB)\n\n**clip_vision**\n\n- [clip_vision_h.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors) (1.18 GB)\n\n**loras**\n\n- [chronoedit_distill_lora.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/chronoedit_distill_lora.safetensors) (358.5 MB)\n\n**diffusion_models**\n\n- [chrono_edit_14B_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/chrono_edit_14B_fp16.safetensors) (30.54 GB)\n\n**vae**\n\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) (242.1 MB)\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n│ ├── 📂 clip_vision/\n│ │ └── clip_vision_h.safetensors\n│ ├── 📂 loras/\n│ │ └── chronoedit_distill_lora.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── chrono_edit_14B_fp16.safetensors\n│ └── 📂 vae/\n│ └── wan_2.1_vae.safetensors\n```\n## About ChronoEdit\n\nChronoEdit-14B is finetuned from the pretrain model of Wan2.1-I2V-14B 720P\n\n[ChronoEdit](https://research.nvidia.com/labs/toronto-ai/chronoedit/), a framework developed by teams from NVIDIA and the University of Toronto, reframes image editing as a two-frame video generation task. It leverages the temporal priors of pretrained video generative models and incorporates a temporal reasoning mechanism to achieve editing results with both visual fidelity and physical consistency. Additionally, it comes with the PBench-Edit benchmark for evaluating physical consistency, making it suitable for scenarios like world simulation that require strict adherence to physical laws.\n\n## Report issue\n\n- Cannot run / runtime errors: https://github.com/Comfy-Org/ComfyUI/issues\n- UI / frontend issues: https://github.com/Comfy-Org/ComfyUI_frontend/issues\n- Workflow mistakes, wrong params, can't download the models: https://github.com/Comfy-Org/workflow_templates/issues"
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