{ "id": "1805b8e4-0356-4384-adec-44f12a18f32e", "revision": 0, "last_node_id": 97, "last_link_id": 173, "nodes": [ { "id": 52, "type": "LoadImage", "pos": [ -343.33311662029587, -216.66661971622412 ], "size": [ 360, 493.33333333333337 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "slot_index": 0, "links": [ 169, 173 ] }, { "name": "MASK", "type": "MASK", "slot_index": 1, "links": null } ], "properties": { "Node name for S&R": "LoadImage", "cnr_id": "comfy-core", "ver": "0.3.67", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "image_chrono_edit_input_image.png", "image" ] }, { "id": 64, "type": "MarkdownNote", "pos": [ -1051.6666666666667, -216.66666666666666 ], "size": [ 666.6666666666667, 1005.78125 ], "flags": { "collapsed": false }, "order": 1, "mode": 0, "inputs": [], "outputs": [], "title": "For Local User", "properties": {}, "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Report issue\n\n- Cannot run / runtime errors: https://github.com/comfyanonymous/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\n\n\n## Model links\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)\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)\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)\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)\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)\n\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## Aoubt 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." ], "color": "#432", "bgcolor": "#000" }, { "id": 95, "type": "813daba6-ec1d-42dd-87bc-4f0f6e084a8d", "pos": [ 52.85834290118987, 633.3333333333334 ], "size": [ 500, 686.3802083333334 ], "flags": {}, "order": 2, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 169 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 170 ] } ], "properties": { "proxyWidgets": [ [ "6", "text" ], [ "50", "width" ], [ "50", "height" ], [ "3", "seed" ], [ "3", "control_after_generate" ] ], "cnr_id": "comfy-core", "ver": "0.4.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [] }, { "id": 96, "type": "SaveImage", "pos": [ 615.0001765781417, 623.3335549025085 ], "size": [ 730, 700 ], "flags": {}, "order": 4, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": 170 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.3.67", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "Chrono_Edit_14B" ] }, { "id": 60, "type": "SaveImage", "pos": [ 615.0001765781417, -216.66661971622412 ], "size": [ 730, 700 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 172 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.3.67", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "Chrono_Edit_14B" ] }, { "id": 97, "type": "2b61e18f-9327-49e6-98af-da8e557c2336", "pos": [ 52.85834290118987, -216.66661971622412 ], "size": [ 500, 695 ], "flags": {}, "order": 3, "mode": 0, "inputs": [ { "name": "image", "type": "IMAGE", "link": 173 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 172 ] } ], "properties": { "proxyWidgets": [ [ "-1", "text" ], [ "-1", "width" ], [ "-1", "height" ], [ "3", "seed" ], [ "3", "control_after_generate" ] ], "cnr_id": "comfy-core", "ver": "0.4.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "A bottle of facial cleansing foam and bubble shampoo, surrounded by white, round, foamy bubbles. The bubbles are very fluffy, crystal clear, giving a sense of fluffiness and comfort. There are also several bubbles floating in the air around, and the bottle is floating in the air. The background is light pink. 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