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{} }, "ver": "0.3.49" }, "size": [ 274.080078125, 348.0800781250002 ], "type": "LoadVideo", "widgets_values": [ "video_wan2_2_14B_fun_control_start_image_control_video.mp4", "image" ] }, { "bgcolor": "#000", "color": "#432", "flags": {}, "id": 185, "inputs": [], "mode": 0, "order": 12, "outputs": [], "pos": [ 830, 1620 ], "properties": {}, "size": [ 420, 120 ], "title": "About Control Video", "type": "MarkdownNote", "widgets_values": [ "You may need the following custom nodes to preprocess the control video:\n1. [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)\n2. [ComfyUI-DepthAnythingV2](https://github.com/kijai/ComfyUI-DepthAnythingV2)\n\nYou can find the control video we use [here](https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-control).\n\nThis model supports multiple control conditions such as Canny, Depth, Pose, and trajectory control." ] }, { "bgcolor": "#000", "color": "#432", "flags": {}, "id": 183, "inputs": [], "mode": 0, "order": 13, "outputs": [], "pos": [ 80, 180 ], "properties": {}, "size": [ 360, 100 ], "type": "Note", "widgets_values": [ "Using the Wan2.2 Lighting LoRA will result in the loss of video dynamics, but it will reduce the generation time. This template provides two workflows, and you can enable one as needed." ] }, { "bgcolor": "#000", "color": "#432", "flags": {}, "id": 161, "inputs": [], "mode": 0, "order": 14, "outputs": [], "pos": [ -470, 500 ], "properties": { "ue_properties": { "widget_ue_connectable": {} } }, "size": [ 530, 550 ], "type": "MarkdownNote", "widgets_values": [ "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-control\n) \n\n**Diffusion Model**\n- [wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.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_fun_control_low_noise_14B_fp8_scaled.safetensors\n│ │ └─── wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors\n│ ├───📂 loras/\n│ │ ├─── wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors\n│ │ └─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n│ ├───📂 text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors \n│ └───📂 vae/\n│ └── wan_2.1_vae.safetensors\n```\n" ] }, { "bgcolor": "#000", "color": "#432", "flags": {}, "id": 186, "inputs": [], "mode": 0, "order": 15, "outputs": [], "pos": [ -460, 330 ], "properties": {}, "size": [ 520, 130 ], "title": "Note: About Wan2.2 Fun Control", "type": "MarkdownNote", "widgets_values": [ "Wan2.2-Fun-Control is a 14B-parameter video generation model launched by Alibaba PAI, supporting multiple control conditions such as Canny, Depth, Pose and trajectory control. \n\nIt enables multi-resolution (512/768/1024) video prediction, trained with 81 frames and 16 FPS, and supports multilingual generation." ] } ], "revision": 0, "version": 0.4 }