Change Width Height
2026-04-021 turns102,307 chars
Summary
User requested a modified ComfyUI workflow that allows changing image width and height without triggering wanvideo's automatic resize to the closest node output.
Messages
I want to be able to change the width and height without enabling the wanvideo image resize to closest node output the corrected version which allows that: {
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"色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走"
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"Stupid hack to fix the first frame being overbaked by the VAE, double the first frame and remove it after decoding."
],
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"title": "Batch sizes",
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"## Batch sizes\nBatch sizes depend on how many Video S2V Extend subgraphs you have added to the workflow.\n\nEach Video S2V Extend subgraph will add 77 frames to the final output.\n\nExample:\n\nIf you added 1 Video S2V Extend subgraph, you should set the batch size to 2.\n\nWe added 2 Video S2V Extend subgraphs, so the batch size value is 3.\n\n## Chunk length\n\n77 is the default length from the WAN2.2S2V official code. This model needs at least 73 frames. If you set the value too high, it might cause an out-of-memory issue.\n\nSo you can just leave 77 as it is."
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"color": "#432",
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"title": "! Important",
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"If you need longer video output, just select one subgraph below, then use Ctrl+C and Ctrl+Shift+V to copy and paste the Video S2V Extend subgraph. Each of them will extend the other frames you set to the chunk length; by default, it's 77 frames."
],
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"| model | Steps | cfg |\n|---------------------|---------------|---------------|\n| With 4 steps lightning LoRA | 4 | 1.0 |\n| Without 4 Steps lightning LoRA | 20 | 6.0 |\n"
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"title": "About lightning LoRA",
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"Tested all wan2.2 lightning LoRAs; all worked, but many keys didn't match. However, because it reduces generation time a lot, we added this lightning model. If you find the output quality is too bad, you can try the 20 steps workflow without lightning LoRA."
],
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"title": "Model Links",
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"[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2-2-s2v\n) | [教程](https://docs.comfy.org/zh-CN/tutorials/video/wan/wan2-2-s2v\n)\n\n**diffusion_models** \n- [wan2.2_s2v_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors)\n- [wan2.2_s2v_14B_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors)\n\n**audio_encoders**\n- [wav2vec2_large_english_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/audio_encoders/wav2vec2_large_english_fp16.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_encoders** \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\n```\nComfyUI/\n├───📂 models/\n│ ├───📂 diffusion_models/\n│ │ ├─── wan2.2_s2v_14B_fp8_scaled.safetensors\n│ │ └─── wan2.2_s2v_14B_bf16.safetensors # The bf16 model will cause less degradation\n│ ├───📂 text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors \n│ ├───📂 audio_encoders/ # Create one if you can't find this folder\n│ │ └─── wav2vec2_large_english_fp16.safetensors \n│ └───📂 vae/\n│ └── wan_2.1_vae.safetensors\n```\n"
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"title": "About fp8_scaled and bf16",
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"You can find both models [Here](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)\n\n- [wan2.2_s2v_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors)\n- [wan2.2_s2v_14B_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors)\n\nThis template is using wan2.2_s2v_14B_fp8_scaled.safetensors, which requires less VRAM. But you can try wan2.2_s2v_14B_bf16.safetensors to reduce degradation."
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"url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors",
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"url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors",
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