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)

The <a target="_blank" rel="ugc" href="http://wan2-video-v2.zip">wan2-video-v2.zip</a> 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.jsonRequirements: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. <a target="_blank" rel="ugc" href="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/HighNoise/Wan2.2-T2V-A14B-HighNoise-Q4_K_M.gguf</a>	<a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/resolve/main/LowNoise/Wan2.2-T2V-A14B-LowNoise-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</a>	OR	<a target="_blank" rel="ugc" href="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_high_noise_14B_Q4_K_M.gguf</a>	<a target="_blank" rel="ugc" href="https://huggingface.co/bullerwins/Wan2.2-T2V-A14B-GGUF/resolve/main/wan2.2_t2v_low_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</a> - Wan2.2-I2V, download same or mixed sets for use. <a target="_blank" rel="ugc" href="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/HighNoise/Wan2.2-I2V-A14B-HighNoise-Q4_K_M.gguf</a> <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/resolve/main/LowNoise/Wan2.2-I2V-A14B-LowNoise-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</a>	OR	<a target="_blank" rel="ugc" href="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_high_noise_14B_Q4_K_M.gguf</a>	<a target="_blank" rel="ugc" href="https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/resolve/main/wan2.2_i2v_low_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</a>- umt5-xxl-encoder-Q5_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-Q5_K_M.gguf">https://huggingface.co/city96/umt5-xxl-encoder-gguf/resolve/main/umt5-xxl-encoder-Q5_K_M.gguf</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>- Optional Loras, speed-up; Put in: ComfyUI\models\loras\LightX2V Page Link: <a target="_blank" rel="ugc" href="https://civitai.com/models/1838893?modelVersionId=2090458">https://civitai.com/models/1838893?modelVersionId=2090458</a> <a target="_blank" rel="ugc" href="https://civitai.com/api/download/models/2090458?type=Model&amp;format=SafeTensor">https://civitai.com/api/download/models/2090458?type=Model&amp;format=SafeTensor</a> <a target="_blank" rel="ugc" href="https://civitai.com/api/download/models/2090481?type=Model&amp;format=SafeTensor">https://civitai.com/api/download/models/2090481?type=Model&amp;format=SafeTensor</a>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 <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>V2V Process:- Wan2.2-TI2V-5B with wan2.2_vae OR wan2.1_t2v_1.3B with wan_2.1_vae all OK. <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/resolve/main/Wan2.2-TI2V-5B-Q8_0.gguf">https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/resolve/main/Wan2.2-TI2V-5B-Q8_0.gguf</a> Put in: ComfyUI\models\unet <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan2.2_vae.safetensors">https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan2.2_vae.safetensors</a> Put in: ComfyUI\models\vae OR <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> 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 <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>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.

Files with SHA256: 84abf4822c02c89587a2813a77faf03effea637d757361aff60fe67eb32977a2