Model Information
Description
My ComfyUI Build - https://huggingface.co/datasets/StefanFalkok/ComfyUI_portable_torch_2.10.0_cu130_cp313_sageattention_triton/tree/main
Hi! I intrduce my WAN 2.2 Models 8 steps
NEW! Wan_2.2_I2V_SVI_2_PRO_8steps models
merged with SVI 2 PRO loras - you don't need choose SVI lora to make long video
https://huggingface.co/StefanFalkok/Wan_2.2_I2V_SVI_2_PRO_8steps - merged models + special workflow for those models + hunyuanvideofoley to add sound towards videos
Download
FP8/FP16 + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps/tree/main
GGUF + Workflows - https://huggingface.co/StefanFalkok/Wan_2.2_10steps_GGUF/tree/main (Q8_0 and Q4_K_M)
Everything u need - just load model without light lora, set 10 steps (5/5), set 2cfg on High Noise and cfg1 on low noise, set 81 frame (16 framerate), set resolution from 480p to 720p
I merged original WAN 2.2 Models from ComfyUI repository with LightX T2V Rank 256 bf 16 (https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors)
fp8 results on rtx 5080
480p - around 2.5 minutes
1024x576 - around 3.5-4 minutes
720p - around 7.5 minutes
Q8_0 and FP16 take a 20% more time to generate video, but you get more quality and stable result
My TG Channel - https://t.me/StefanFalkokAI
My TG Chat - https://t.me/+y4R5JybDZcFjMjFi
Wan 2.2 8 Steps SVI 2 PRO T2V & I2V (FP8 + GGUF Q8_0 Q4_K_M models)
Model Details
- Type
- AI Model
- Task
- text-to-image
- Subtype
- Safetensors / Checkpoint AI Model
- Created
- Updated
- July 8, 2026