As AI-generated video technology advances, creators are pushing the boundaries of what’s possible. But with great power comes great responsibility – and in this case, that means dealing with pesky hair blur and eye distortion issues. If you’re struggling to get the highest quality out of your WAN 2.2 videos, you’re not alone.
I’ve been experimenting with GGUF workflows to get the best results with my RTX 4060 8GB and 16GB RAM. One thing that’s been driving me crazy is the blur issues that pop up when hair is moving during framerate changes. And don’t even get me started on eye distortion – it’s like the AI is trying to turn my subjects into aliens.
I’ve tried fixing my ComfyUI outputs with Topaz AI Video, but it only made things worse. So, I decided to reach out to the WAN 2.2 community for help. If you’re facing similar issues, here are some potential solutions to try:
* Increase the maximum resolution in your workflow (I’ve had success with 540×946, 60 steps, WAN 2.2 Q4 and Q8, Euler/Simple, and umt5_xxl_fp8_e4m3fn_scaled.safetensors).
* Experiment with different workflows, like the one I shared in this post.
* Try turning on and off different features, like sage attention and enable_fp16_accumulation, to see what works best for your specific use case.
If you’re still stuck, I’d love to hear from you in the comments. What are your favorite tips and tricks for reducing hair blur and eye distortion in WAN 2.2 videos? Let’s help each other out and create some amazing content.
Oh, and if you want to dig deeper, I’ve included some links to relevant resources in this post. Happy experimenting!