Wanvideo 2.2 SVI Pro 2.0

I uploaded a version of ComfyUI without models (6.51G), it has all the nodes and workflows to run and avoid errors, if you have your own ComfyUI, you can ignore this part

https://drive.google.com/file/d/1Q7s78RTEspmvWUsJkQ1IA86m_ozg8uSb/view?usp=sharing

1.Model

ComfyUI\models\diffusion_models

WAN 2.2 Enhanced NSFW High

WAN 2.2 Enhanced NSFW Low

ComfyUI\models\vae

wan_2.1_vae.safetensors

ComfyUI\models\text_encoders

umt5_xxl_fp16.safetensors

umt5_xxl_fp8_e4m3fn_scaled.safetensors

ComfyUI\models\Loras

SVI High LoRA
https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_HIGH_lora_rank_128_fp16.safetensors

SVI Low LoRA
https://huggingface.co/Kijai/WanVideo_comfy/blob/main/LoRAs/Stable-Video-Infinity/v2.0/SVI_v2_PRO_Wan2.2-I2V-A14B_LOW_lora_rank_128_fp16.safetensors

Lightx2v High LoRA

https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/blob/main/wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022.safetensors

Lightx2v Low LoRA

https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/blob/main/wan2.2_i2v_A14b_low_noise_lora_rank64_lightx2v_4step_1022.safetensors

The sampler's subgraph has an additional LORA reader, making it easy to use different LORAs in different samplers.

Wanvideo 2.2 Animate

I uploaded a version of ComfyUI without models (4.38G), it has all the nodes and workflows to run and avoid errors, if you have your own ComfyUI, you can ignore this part

https://drive.google.com/file/d/1lcK9QX6FmLO6rQNP6200rbLiqnHpt0uK/view?usp=drive_link

1.Model

ComfyUI\models\diffusion_models

Wan22Animate-Kijai

ComfyUI\models\vae

Wan2_1_VAE_fp32.safetensors

ComfyUI\models\text_encoders

umt5-xxl-enc-fp8_e4m3fn.safetensors

umt5-xxl-enc-bf16.safetensors

ComfyUI\models\clip_vision

clip_vision_h.safetensors

ComfyUI\models\Loras

WanAnimate_relight_lora_fp16

lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16.safetensors

Kijai Lightx2v

ComfyUI\models\detection

vitpose-l-wholebody

yolov10m

ComfyUI\models\sams\

Sec-4B

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ComfyUI\models\custom_nodes

auto_wan2.2animate_freamtowindow_server

ComfyUI-WanAnimatePreprocess

Download the ZIP file and extract to custom_nodes.

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Wan2.2 Kijai I2V

I uploaded a version of ComfyUI without models (6.51G), it has all the nodes and workflows to run and avoid errors, if you have your own ComfyUI, you can ignore this part

https://drive.google.com/file/d/1Q7s78RTEspmvWUsJkQ1IA86m_ozg8uSb/view?usp=sharing

1.Model

ComfyUI\models\diffusion_models

Kijai bf16

Wan2_2-I2V-A14B-HIGH_bf16.safetensors

Wan2_2-I2V-A14B-LOW_bf16.safetensors

Kijai fp8

WanVideo_comfy_fp8_scaled

lightx2v Distill

lightx2v/Wan2.2-Distill-Models

(After testing, it can greatly improve video dynamics)

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ComfyUI\models\vae

Wan2_1_VAE_fp32.safetensors

ComfyUI\models\text_encoders

umt5-xxl-enc-fp8_e4m3fn.safetensors

umt5-xxl-enc-bf16.safetensors

ComfyUI\models\clip_vision

clip_vision_h.safetensors

ComfyUI\models\Loras

lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16.safetensors

Wan2.2-Fun-A14B-InP-high-noise-MPS.safetensors

Wan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensors

Kijai Lightx2v

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InfiniteTalk + UniAnimate

I uploaded a version of ComfyUI without models (4.38G), it has all the nodes and workflows to run and avoid errors, if you have your own ComfyUI, you can ignore this part

https://drive.google.com/file/d/1lcK9QX6FmLO6rQNP6200rbLiqnHpt0uK/view?usp=drive_link

1.Model

ComfyUI\models\diffusion_models

Wan2.1-I2V-14B-480P

Wan2_1-InfiniTetalk-Single_fp16

ComfyUI\models\unet

InfiniteTalk_GGUF

Wan2.1-I2V-14B-480P-gguf

ComfyUI\models\vae

Wan2_1_VAE_fp32

ComfyUI\models\text_encoders

umt5-xxl-enc-fp8_e4m3fn.safetensors

umt5-xxl-enc-bf16.safetensors

ComfyUI\models\clip_vision

clip_vision_h.safetensors

ComfyUI\models\Loras

UniAnimate-Wan2.1-14B-Lora-12000-fp16

lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16.safetensors

Kijai Lightx2v

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InstantID

InstantID does not support the latest version of ComfyUI. Please download the old version. I deleted the model and kept the nodes to ensure that there will be no errors when running (5.62g)