工作流 /
视频 /
AIrt MAchIne
AIrt MAchIne
AIrt MAchIne
上传任意图像以生成独特的循环AI视频。该工作流使用LLM创建五个提示，生成图像和视频片段，并将它们拼接成最终的无缝循环。
视频
71 个节点 1 个输入 10 次使用 ComfyUI ≥ 0.8.0 Julien | MJM 396 KB
需要的权重
这个工作流引用了 12 个权重文件，其中 9 个能在本站模型库里找到。
4x-UltraSharp.safetensors
模型库暂未收录
Z-Image_Turbo_MJM_Cartoon_Red_Background.safetensors
模型库暂未收录
Z-Image_Turbo_MJM_Colorful_Samurai_Reg_mjmclrsmr.safetensors
模型库暂未收录
ae.safetensors
在模型库查看
qwen_3_4b.safetensors
在模型库查看
umt5_xxl_fp8_e4m3fn_scaled.safetensors
在模型库查看
wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022.safetensors
在模型库查看
wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022.safetensors
在模型库查看
wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors
在模型库查看
wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
在模型库查看
wan_2.1_vae.safetensors
在模型库查看
z_image_turbo_bf16.safetensors
在模型库查看
节点构成
PreviewAny
× 11
PreviewImage
× 5
ImageResizeKJv2
× 5
ImpactStringSelector
× 5
SaveImage
× 5
SaveVideo
× 5
CreateVideo
× 5
UNETLoader
× 3
MarkdownNote
× 2
PrimitiveInt
× 2
CLIPLoader
× 2
VAELoader
× 2
LoraLoaderModelOnly
× 2
4d7fdc4c-1c7a-470a-b61f-a9533ee4631b
× 1
849d1e47-1e3e-4d2f-933a-4fdcf4af9d4a
× 1
7f90622a-2c87-4da9-8535-65ff205463d4
× 1
官方标注的模型
Wan2.2Z-Image-Turbo
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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1976 "## Model links (when running locally)\n\n- [Hugging Face:Comfy-Org/z_image_turbo](https://huggingface.co/Comfy-Org/z_image_turbo)\n- [ModelScope:Comfy-Org/z_image_turbo](https://modelscope.cn/models/Comfy-Org/z_image_turbo)\n\n**text_encoders**\n\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors) (7.49 GB)\n\n\n**diffusion_models**\n\n- [z_image_turbo_bf16.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors) (11.46 GB)\n\n\n**vae**\n\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors) (319.8 MB)\n\n\n**upscale_model**\n\n- [4x-UltraSharp.pth](https://huggingface.co/lokCX/4x-Ultrasharp/blob/main/4x-UltraSharp.pth)\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── qwen_3_4b.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── z_image_turbo_bf16.safetensors\n│ └── 📂 vae/\n│ │ └── ae.safetensors\n│ └── 📂 upscale_models/\n│ └── 4x-UltraSharp.pth\n```\n"
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2740 "## Model links (when running locally)\n\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- [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\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**loras**\n\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) (1.14 GB)\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) (1.14 GB)\n\n**diffusion_models**\n\n- [wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors) (13.31 GB)\n- [wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors) (13.31 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\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n│ ├── 📂 loras/\n│ │ ├── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n│ │ └── wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors\n│ ├── 📂 diffusion_models/\n│ │ ├── wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors\n│ │ └── wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors\n│ └── 📂 vae/\n│ └── wan_2.1_vae.safetensors\n```"
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