RefRes v5 for Qwen-Image-2.1 / Qwen-Image-2.1-Turbo

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/example_man.jpg filter=lfs diff=lfs merge=lfs -text
+assets/example_woman.jpg filter=lfs diff=lfs merge=lfs -text
+assets/refres_cover.jpg filter=lfs diff=lfs merge=lfs -text
+assets/refres_teaser.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/refres_zone.png filter=lfs diff=lfs merge=lfs -text

LICENSE

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+Qwen RESEARCH LICENSE AGREEMENT
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+Qwen RESEARCH LICENSE AGREEMENT Release Date: September 20, 2026
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NOTICE

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+Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved.
+
+qwen-image-2.1/RefRes-v5-qwen-image-2.1.safetensors is a LoRA adapter (derivative work) trained on top of Qwen-Image-2.1. It is distributed under the Qwen Research License Agreement (see LICENSE) for non-commercial use only.
+
+Training data: freely licensed photos from Wikimedia Commons. The photos are not included in this repository.
+Example images in assets/ show AI-generated fictional people.

README.md

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+---
+license: other
+license_name: qwen-research
+license_link: LICENSE
+base_model:
+- Qwen/Qwen-Image-2.1
+- Qwen/Qwen-Image-2.1-Turbo
+base_model_relation: adapter
+pipeline_tag: image-to-image
+library_name: diffusers
+tags:
+- lora
+- image-restoration
+- face-restoration
+- super-resolution
+- reference-based
+- qwen-image-2.1
+---
+
+# RefRes
+
+<video src="https://huggingface.co/hc0/RefRes/resolve/main/assets/refres_teaser.mp4" poster="https://huggingface.co/hc0/RefRes/resolve/main/assets/refres_cover.jpg" autoplay muted loop playsinline width="100%"></video>
+
+**One damaged photo + a few photos of the same person → the photo, restored, with the person's real face.**
+Adapters for image-editing models — available now for Qwen-Image-2.1 and Qwen-Image-2.1-Turbo, FLUX.2 [klein] in training.
+
+![Example: woman](assets/example_woman.jpg)
+![Example: man](assets/example_man.jpg)
+
+<sub>Examples use AI-generated fictional people; the inputs were degraded on purpose. Turbo + RefRes + Texture-Fix VAE, 8 steps.</sub>
+
+## Why references
+
+![Where the restorations land](assets/refres_zone.png)
+
+A restorer without references has to guess the face. RefRes looks at other photos of the same person, so the
+result stays that person: on 48 restorations of unseen people, identity similarity rises from 0.73 to 0.91–0.93,
+and the result is about seven times closer to the real photo (LPIPS 0.42 → 0.06). One reference already works;
+five to nine work best.
+
+## Quick start
+
+| | |
+|---|---|
+| Image 1 | the photo to restore |
+| Images 2 … | 1–9 photos of the same person |
+| Model | Qwen-Image-2.1-Turbo (8 steps) or Qwen-Image-2.1 (40 steps) |
+| File | `qwen-image-2.1/RefRes-v5-qwen-image-2.1.safetensors` |
+| LoRA strength | 1.0 |
+| CFG | 1, no negative prompt |
+| VAE | [Texture-Fix VAE](https://huggingface.co/madebyollin/texture-fix-vae-for-qwen-image-2.1) recommended |
+
+<details>
+<summary>Prompt (5 references, woman — change <i>woman/her</i> and the image count as needed)</summary>
+
+```text
+Restore image 1, a photo of a woman, into a sharp, clear, high-resolution photograph with crisp fine detail. Images 2 to 6 are other photos of the same woman; use them only as identity reference to recover her true facial features and fine details. Keep image 1's pose, expression, framing, clothing, background and colors unchanged. Remove every trace of low resolution and degradation: pixelation, soft or blurry upscaling, blur, all kinds of noise and film grain, JPEG and WebP compression artifacts, color banding, as well as any overlaid text, stickers, emoji or watermarks. The result must look natively high resolution: sharp, clean and detailed, with no grain, no noise and no low-resolution softness.
+```
+</details>
+
+## Good to know
+
+- Generative restoration: detail is reconstructed from the references, not recovered evidence. Not for forensic use.
+- Only restore photos you have the right to edit.
+- Each adapter follows its base model's license; the Qwen-Image-2.1 adapter: Qwen Research License (non-commercial). Built with Qwen. Trained on freely licensed photos from Wikimedia Commons; the photos themselves are not distributed.

assets/refres_teaser.mp4

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