<h2 id="features">Features</h2><ol><li><p>Uses quantized GGUF models instead of FP16 checkpoints for faster speed and lower VRAM usage</p></li><li><p>Uses <a target="_blank" rel="ugc" href="https://github.com/VraethrDalkr/ComfyUI-TripleKSampler">TripleKSampler</a> for better prompt adherence and improved motion</p></li><li><p>Uses LightX2V Lightning LoRAs for blazing fast speed (5 minutes for 81-frame video on RTX 4080)</p></li><li><p>Uses RIFE VFI for quadruple FPS boost (to buttery smooth 60 FPS)</p></li></ol><p></p><h2 id="custom-comfyui-nodes">Custom ComfyUI Nodes</h2><ul><li><p><a target="_blank" rel="ugc" href="https://github.com/rgthree/rgthree-comfy">rgthree-comfy</a></p></li><li><p><a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-KJNodes">KJNodes</a></p></li><li><p><a target="_blank" rel="ugc" href="https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite">VideoHelperSuite</a></p></li><li><p><a target="_blank" rel="ugc" href="https://github.com/VraethrDalkr/ComfyUI-TripleKSampler">TripleKSampler</a></p></li><li><p><a rel="ugc" href="https://github.com/Fannovel16/ComfyUI-Frame-Interpolation">ComfyUI-Frame-Interpolation</a></p></li><li><p><a rel="ugc" href="https://github.com/ShmuelRonen/ComfyUI-FreeMemory">ComfyUI-FreeMemory</a></p></li></ul><p></p><h2 id="download-models">Download Models</h2><h3 id="unet">Unet</h3><p>The following files should be saved into <code>/models/unet</code></p><ul><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/blob/main/HighNoise/Wan2.2-I2V-A14B-HighNoise-Q4_K_M.gguf">Wan 2.2 I2V A14B HighNoise Q4_K_M GGUF</a></p></li><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/blob/main/LowNoise/Wan2.2-I2V-A14B-LowNoise-Q4_K_M.gguf">Wan 2.2 I2V A14B LowNoise Q4_K_M GGUF</a></p></li></ul><h3 id="text-encoders">Text Encoders</h3><p>The following files should be saved into <code>/models/text_encoders</code></p><ul><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/blob/main/nsfw_wan_umt5-xxl_fp8_scaled.safetensors">NSFW Wan UMT5-XXL fp8-scaled</a></p></li></ul><h3 id="vae">VAE</h3><p>The following files should be saved into <code>/models/vae</code></p><ul><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors">Wan 2.1 VAE</a></p></li></ul><h3 id="loras-(for-speed)">LoRAs (for speed)</h3><p>The following files should be saved into <code>/models/loras</code></p><ul><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors">Wan 2.2 I2V lightx2v 4-steps LoRA v1 High Noise</a></p></li><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors">Wan 2.2 I2V lightx2v 4-steps LoRA v1 Low Noise</a></p></li></ul><p></p>

Fast Wan 2.2 I2V 60FPS for Low VRAM (GGUF)

<ol><li><p>Improved movement</p></li><li><p>Supports multiple LoRAs</p></li></ol>

Files with SHA256: 6be26cebdf18ccfc4e0b36a200937452d800c035646b765f92440ccc6d6128ce