How can I get better face details in ComfyUI?

[amduser2025]

I use the Wan.2.2 14b q3 k m fp16 fast - video to video workflows.

you can see in the video, the eyes and teeth look low quality. Other body parts such as fingers are also not very detailed and tend to become distorted or blurry during fast motion.

I have already tried a 2x upscale pass, but it didn't make any noticeable difference.

there any solution for this? Maybe adding one or more nodes that can reconstruct or stabilize the face based on a reference image? Something similar to Face Detailer, Face Restore, or any workflow that works well with Video-to-Video generation.

current settings: Output resolution: 544×960 16–32 frames After rendering, I upscale the final video to 1080p using an offline application. GPU: RTX 4070 12GB RAM: 32GB

I can't really increase the workflow quality settings much further or render at higher resolutions such as 640p or 720p because I run into VRAM limitations and overload issues.

Has anyone managed to improve the quality of eyes, teeth, faces, and hands while working with similar hardware limitations? Any tested workflows, nodes, or recommendations would be greatly appreciated

quality.mp4

[gershu-ar]

Hey, amigo. Hm, that video you posted is truly appalling.
I'd say:

1. Really suggested: Start with the official WAN 2.2 video‑to‑video / image-to-video template in ComfyUI. Works out of the box on a 4070 and avoids many artifacts. You can fine tune from there, you will get amazing results on the spot.
2. Really suggested: Try different attention backends — Sage or Flash Attention often give better stability and detail in video workflows compared to the default PyTorch attention.
3. Keep resolution modest (544×960 is fine) .
4. Use --highvram flag to maximize VRAM usage.
5. Optionally test --fp8_e4m3fn-text-enc if VRAM gets tight, but keep in mind it’s experimental (this affects vram usage, but not a problem with those 32gb).