The compressed package contains 2 ComfyUI workflows for running: 1.Wan 2.1 T2V:	wan2-t2v-upscale-v1.json 2.Wan 2.1 I2V:	wan2-i2v-upscale-v1.json<h2 id="reference-output:-u1cokbdss">Reference output:</h2>On my RTX4060 8GB vRAM + 32G RAM i2v: Prompt executed in 2807.42 secondsOn my RTX5080 laptop 16G vRAM + 32G RAM i2v: Prompt executed in 1401.00 seconds<h2 id="requirements:-7u3113ipp">Requirements:</h2><h3 id="models:-n9k3jdtkh">Models:</h3>- wan2.1-t2v-14b-Q3_K_M.gguf (T2V) Put in: ComfyUI\models\unet <a target="_blank" rel="ugc" href="https://huggingface.co/city96/Wan2.1-T2V-14B-gguf/resolve/main/wan2.1-t2v-14b-Q3_K_M.gguf">https://huggingface.co/city96/Wan2.1-T2V-14B-gguf/resolve/main/wan2.1-t2v-14b-Q3_K_M.gguf</a>	- wan2.1-i2v-14b-480p-Q3_K_M.gguf (I2V) Put in: ComfyUI\models\unet <a target="_blank" rel="ugc" href="https://huggingface.co/city96/Wan2.1-I2V-14B-480P-gguf/resolve/main/wan2.1-i2v-14b-480p-Q3_K_M.gguf">https://huggingface.co/city96/Wan2.1-I2V-14B-480P-gguf/resolve/main/wan2.1-i2v-14b-480p-Q3_K_M.gguf</a>- wan2.1_t2v_1.3B_fp16.safetensors (t2v model, used in workflow "v2v") Put in: ComfyUI\models\diffusion_models <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors</a>- umt5-xxl-encoder-Q4_K_M.gguf (CLIP) Put in: ComfyUI\models\text_encoders <a target="_blank" rel="ugc" href="https://huggingface.co/city96/umt5-xxl-encoder-gguf/resolve/main/umt5-xxl-encoder-Q4_K_M.gguf">https://huggingface.co/city96/umt5-xxl-encoder-gguf/resolve/main/umt5-xxl-encoder-Q4_K_M.gguf</a>- umt5_xxl_fp8_e4m3fn_scaled.safetensors (CLIP, can use above if you modify workflow "v2v") Put in: ComfyUI\models\text_encoders <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/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</a>- wan_2.1_vae.safetensors (VAE) Put in: ComfyUI\models\vae <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors</a>- clip_vision_h.safetensors (CLIP VISION) Put in: ComfyUI\models\clip_vision <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors">https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors</a>- RealESRGAN_x2plus.pth (Upscale Model) Put in: ComfyUI\models\upscale_models <a target="_blank" rel="ugc" href="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth">https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth</a><h3 id="comfyui-nodes:-fajzyllng">ComfyUI Nodes:</h3>- 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.

Wan Video ComfyUI (T2V & I2V)

A little update.The compressed file contains 3 ComfyUI workflows for running:1.wan2.2-i2v-gguf-v2.json2.wan2.2-i2v-v2.json2.wan2.2-t2v-gguf-v2.json

Files with SHA256: 190fc3ed22ddac3bf58dc561351775f8396cb9946f4660b218e7f416de51df60