Fox Shrine Night
Lantern-lit shrine, silver-haired heroine, glowing fox spirit, falling snow.
Clean up the residual noise, flicker and softness of Wan footage rendered locally in ComfyUI with non-generative post-processing — up to 16K, without touching the original.
Wan is an open-weight model you can generate with for free and unlimited, but running it on local GPUs leaves clear limits in output quality.
VRAM limits push many to render at 720p–1080p, so detail is missing from the start.
Trimmed settings to save memory make inter-frame shimmer and flicker stand out.
Fewer sampling steps for faster runs leave residual noise and smeared, soft textures.
Not stretching — it restores detail up to 4K, 8K and 16K (max 16K).
The AI never repaints. Only existing information is sharpened — no face or detail distortion.
Removes diffusion residual noise, compression blocking and frame flicker via denoise.
15 seconds or an hour, no limit. A lifetime license instead of a subscription.
Lift low-res Wan footage to 4K and 8K — cleaning residual noise and restoring detail.
Lantern-lit shrine, silver-haired heroine, glowing fox spirit, falling snow.
Misty gorge bridge, poised martial artist, ink-wash clouds, robe folds.
Futuristic harbor tram, school coat, sketchbook, dusk reflections and lanterns.
Make your video with your usual AI model.
Load the exported file into AI PIXELL.
Pick resolution and model, then preview the result.
Export at 4K, 8K or 16K and publish anywhere.
Diffusion models build video by removing noise step by step. Structural flaws that never get fully removed remain in that process — and that is exactly what reads as the “AI look.” AI PIXELL cleans up only those traces, non-generatively.
The noise schedule fails to drive SNR to zero at the final denoising step, so tone gets trapped in mid-brightness and contrast is flattened. (WACV 2024)
Estimation error compounds across steps (exposure bias), collapsing detail and distorting texture — worse with fewer steps. (ICLR 2024·2025)
Generated in a compressed latent then upsampled, fine detail like pores, fabric weave and hair gets smeared.
Denoising toward an “average skin” erases texture while over-sharpening edges, giving a synthetic, CGI-like look.
An image-trained VAE decoder introduces subtle inter-frame shimmer when turning latents back into pixels.
Smoothing frames to stop face jitter also suppresses the sensor grain of real footage, so it reads plastic on playback.
Sources: “Common Diffusion Noise Schedules and Sample Steps are Flawed” (ByteDance, WACV 2024) · Exposure Bias in Diffusion Models (ICLR 2024·2025)
Take clips generated unlimited on your local rig and finish them at the resolution you need.
Anyone finishing generative sources to delivery quality.
Publish short- and long-form in 4K for a competitive edge.
Teams outputting bulk AI ad/campaign clips at consistent quality.
Anyone who wants to erase the AI look and make video feel real.
Turn locally rendered Wan output into 4K, 8K and 16K. Start post-processing with AI PIXELL now.