NEON VAE LAB // 32-32
IMAGE PLAYGROUND
A traced diffusion UNet compresses uploads into a 32x32 latent bottleneck, a residual MLP cleans the grid, and a VAE decoder pulls it back into RGB. DF2K super-resolution handles the HD pass, so it doesn't aim for strict photorealism-the model generalizes interesting textures, silhouettes, and color runs instead.
- ✦ 32x32 latent stage feeding a traced diffusion UNet encoder/decoder
- ✦ Residual MLP refiner keeps the latent grid steady before reconstruction
- ✦ DF2K-trained upsampler handles the HD pass while preserving those non-photoreal patterns
- ✦ Real-time processing, visualization, and transformation pipeline
- ✦ Server-side inference runs full diffusion chain on CPU—processing may take 30-90s per job depending on load
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image-playground@photon-safe:~$
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