The wan2-video-v2.zip compressed file contains 2 ComfyUI workflows for running:

1.Wan 2.2 T2V: wan2-t2v-upscale-v2.json

2.Wan 2.2 I2V: wan2-i2v-upscale-v2.json

Requirements:

Models:

Main Process:

- Wan 2.2 (GGUF), Put in: ComfyUI\models\unet; vRAM 16G can use Q4_K_M, vRAM 8G can use Q3_K_M.

- Wan2.2-T2V, download same or mixed sets for use.

https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/resolve/main/HighNoise/Wan2.2-T2V-A14B-HighNoise-Q4_K_M.gguf

https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/resolve/main/LowNoise/Wan2.2-T2V-A14B-LowNoise-Q4_K_M.gguf

OR

https://huggingface.co/bullerwins/Wan2.2-T2V-A14B-GGUF/resolve/main/wan2.2_t2v_high_noise_14B_Q4_K_M.gguf

https://huggingface.co/bullerwins/Wan2.2-T2V-A14B-GGUF/resolve/main/wan2.2_t2v_low_noise_14B_Q4_K_M.gguf

- Wan2.2-I2V, download same or mixed sets for use.

https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/resolve/main/HighNoise/Wan2.2-I2V-A14B-HighNoise-Q4_K_M.gguf

https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/resolve/main/LowNoise/Wan2.2-I2V-A14B-LowNoise-Q4_K_M.gguf

OR

https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/resolve/main/wan2.2_i2v_high_noise_14B_Q4_K_M.gguf

https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/resolve/main/wan2.2_i2v_low_noise_14B_Q4_K_M.gguf

- umt5-xxl-encoder-Q5_K_M.gguf (CLIP) Put in: ComfyUI\models\text_encoders

https://huggingface.co/city96/umt5-xxl-encoder-gguf/resolve/main/umt5-xxl-encoder-Q5_K_M.gguf

- wan_2.1_vae.safetensors (VAE) Put in: ComfyUI\models\vae

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors

- Optional Loras, speed-up; Put in: ComfyUI\models\loras\LightX2V

Page Link: https://civitai.com/models/1838893?modelVersionId=2090458

https://civitai.com/api/download/models/2090458?type=Model&format=SafeTensor

https://civitai.com/api/download/models/2090481?type=Model&format=SafeTensor

The Main process's output is fine now, If you have a more powerful graphics card, you can simply change the output resolution.

If you don't need to increase the resolution, you can disable Upscaled and V2V processing.

Upscaled Process:

- RealESRGAN_x2plus.pth (Upscale Model) Put in: ComfyUI\models\upscale_models

https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth

V2V Process:

- Wan2.2-TI2V-5B with wan2.2_vae OR wan2.1_t2v_1.3B with wan_2.1_vae all OK.

https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/resolve/main/Wan2.2-TI2V-5B-Q8_0.gguf

Put in: ComfyUI\models\unet

https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan2.2_vae.safetensors

Put in: ComfyUI\models\vae

OR

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors

Put in: ComfyUI\models\diffusion_models

wan_2.1_vae is same in Main.

- umt5_xxl_fp8_e4m3fn_scaled.safetensors (CLIP, or same in "Main") Put in: ComfyUI\models\text_encoders

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors

ComfyUI Nodes:

- rgthree-comfy

- ComfyUI-KJNodes

- ComfyUI-VideoHelperSuite

- ComfyUI-Frame-Interpolation

- Comfyui-Memory_Cleanup (Not required if you modify the workflow)

If you have higher performance hardware, you can choose higher quantization models.