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工作流 / 视频 / Wan2.2-S2V 音频驱动视频生成
Wan2.2-S2V 音频驱动视频生成

Wan2.2-S2V 音频驱动视频生成

Wan2.2-S2V Audio-Driven Video Generation

将静态图像与音频转为动态视频，音画完美同步，分钟级即可生成。

视频 62 个节点 2 个输入 92 次使用 ComfyUI ≥ 0.3.55 ComfyUI 171 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。

umt5_xxl_fp8_e4m3fn_scaled.safetensors 在模型库查看
wan2.2_s2v_14B_fp8_scaled.safetensors 在模型库查看
wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors 在模型库查看
wan_2.1_vae.safetensors 在模型库查看
wav2vec2_large_english_fp16.safetensors 在模型库查看

节点构成

MarkdownNote × 7
PrimitiveInt × 6
CLIPTextEncode × 4
Note × 4
CLIPLoader × 2
VAEDecode × 2
VAELoader × 2
AudioEncoderLoader × 2
WanSoundImageToVideo × 2
ModelSamplingSD3 × 2
ImageFromBatch × 2
LatentConcat × 2
LatentCut × 2
CreateVideo × 2
SaveVideo × 2
AudioEncoderEncode × 2

官方标注的模型

Wan2.2Wan

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

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563 ],
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841 "## 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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2446 "This is the 20-step workflow. We put it here in case some users don't know how to modify the workflow that with Wan2.2 lightning LoRA. If you want to enable it, box-select the workflow and then use Ctrl+B to enable it."
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2657 "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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2681 "## Model Links\n\n- [Hugging Face:Comfy-Org/Wan_2.2_ComfyUI_Repackaged](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\n- [ModelScope:Comfy-Org/Wan_2.2_ComfyUI_Repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\n\nYou 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) (15.27 GB)\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) (30.35 GB)\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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2782 "## Model Links\n\n- [Hugging Face:Comfy-Org/Wan_2.2_ComfyUI_Repackaged](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\n- [ModelScope:Comfy-Org/Wan_2.2_ComfyUI_Repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\n- [Hugging Face:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n- [ModelScope:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n\n[Tutorial](https://docs.comfy.org/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) (15.27 GB)\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) (30.35 GB)\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) (601.8 MB)\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) (242.1 MB)\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) (6.27 GB)\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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