<a target="_blank" rel="ugc" href="https://huggingface.co/datasets/StefanFalkok/ComfyUI_portable_torch_2.11.0_cu130_cp313_sageattention_triton">https://huggingface.co/datasets/StefanFalkok/ComfyUI_portable_torch_2.11.0_cu130_cp313_sageattention_triton</a><span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(254, 254, 254);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> - my new ComfyUI build with torch 2.11.0cu130 + sageattention + my workflowsHi! I intrduce my WAN 2.2 Models 8 stepsNEW! <a target="_blank" rel="ugc" href="https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps">Wan_2.2_I2V_SVI_2_PRO_8steps models</a>merged with SVI 2 PRO loras - you don't need choose SVI lora to make long video<a target="_blank" rel="ugc" href="https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps">https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps</a> - merged models + special workflow for those models + hunyuanvideofoley to add sound towards videosDownloadFP8/FP16 + Workflows - <a target="_blank" rel="ugc" href="https://huggingface.co/StefanFalkok/Wan_2.2_10steps/tree/main">https://huggingface.co/StefanFalkok/Wan_2.2_10steps/tree/main</a>GGUF + Workflows - <a target="_blank" rel="ugc" href="https://huggingface.co/StefanFalkok/Wan_2.2_10steps_GGUF/tree/main">https://huggingface.co/StefanFalkok/Wan_2.2_10steps_GGUF/tree/main</a> (Q8_0 and Q4_K_M)Everything u need - just load model without light lora, set 8 steps (4/4), set 2cfg on High Noise and cfg1 on low noise, set 81 frame (16 framerate), set resolution from 576p to 720pI merged original WAN 2.2 Models from ComfyUI repository with LightX T2V Rank 256 bf 16 (<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors">https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors</a>)fp8 results on rtx 50801024x576 - around 3 minutes720p - around 5 minutesQ8_0 and FP16 take a 20% more time to generate video, but you get more quality and stable resultMy TG Channel -<span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(254, 254, 254);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> <a target="_blank" rel="ugc" href="https://t.me/StefanFalkokAI">https://t.me/StefanFalkokAI</a>My TG Chat - <a target="_blank" rel="ugc" href="https://t.me/+y4R5JybDZcFjMjFi">https://t.me/+y4R5JybDZcFjMjFi</a>

Wan 2.2 8 Steps SVI 2 PRO T2V & I2V (FP8 + GGUF Q8_0 Q4_K_M models)

wan228StepsSVI2PROT2VI2VFP8_svi2proI2VFP8.safetensors

SVI2PRO_I2V_FP8_LowNoise

SVI2PRO_I2V_FP8_HighNoise

Q4_K_M_I2VLowNoise

Q4_K_M_I2VHighNoise

Q4_K_M_T2VLowNoise

Q4_K_M_T2VHighNoise

Q8_0_I2VLowNoise

Q8_0_I2VHighNoise

Q8_0_T2VLowNoise

Q8_0_T2VHighNoise

FP8_I2VLowNoise

FP8_I2VHighNoise

FP8_T2VLowNoise

FP8_T2VHighNoise

Files with SHA256: 03a3764cbda2eae45803a25564c2f7db3d1e294acf969a3d513f098504da8163