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Distilled-ResShift-2x
sorryhyun/Distilled-ResShift-2x
Distilled-ResShift-2x is a machine learning model from sorryhyun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-sa-4.0.
A 1-step ResShift super-resolution student as a pixel-space IMAGE → IMAGE upscaler for ComfyUI, at ×4 or ×2 (a scale dropdown on the loader). The student is distilled (paper 2603.22490, repo, One-Step Residual Shiftin…
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Updated Jul 8, 2026
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At a glance
- License
- cc-by-sa-4.0
- Access
- Public
- Created
- Jul 5, 2026
- Updated
- Jul 8, 2026
- SHA
- 1a215795
Model card
From the Hugging Face model README
A 1-step ResShift super-resolution student as a pixel-space IMAGE → IMAGE
upscaler for ComfyUI, at ×4 or ×2 (a scale dropdown on the loader). The student is
distilled (paper 2603.22490, repo, One-Step Residual
Shifting Diffusion via Distillation) from a 15-step ResShift teacher, so it does the
whole super-resolution jump in a single stochastic network step — no multi-step
sampler, no CFG.
It is model-agnostic: drop it after VAEDecode / before SaveImage and it upscales
any RGB image, not just Anima / diffusion output.
… → VAEDecode → IMAGE ─┐
├─► ResShiftUpscale ─► IMAGE (×scale) → SaveImage
ResShiftLoader ───┘
- License
- cc-by-sa-4.0
- Created
- Jul 5, 2026
- Updated
- Jul 8, 2026