Resolution Invariant Image Diffuser Launch
π‘Resolution-invariant diffusion hits 4MP at 4 steps/secβfixes SDXL artifacts!
β‘ 30-Second TL;DR
What Changed
Trained solely on 1:1 32x32 images but handles any resolution/aspect ratio
Why It Matters
Enables artifact-free high-resolution image generation at competitive speeds, potentially advancing diffusion models beyond fixed-resolution limits. Useful for scalable AI image synthesis in production.
What To Do Next
Clone the GitHub repo and benchmark R2ID on 4MP upscaling tasks.
Key Points
- β’Trained solely on 1:1 32x32 images but handles any resolution/aspect ratio
- β’Diffuses 4MP images at 4 steps per second for viable high-res speed
- β’Uses relative coordinates treating pixels as subdivisible tokens
- β’R2IR employs cross-attention as resolution-invariant resampler
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Original source: Reddit r/MachineLearning β
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