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---
datasets:
- zhihefang/UltraHR-100K
- 1aurent/unsplash-lite
base_model:
- Qwen/Qwen-Image-Edit-2509
license: gpl-3.0
library_name: diffusers
tags:
- lora
pipeline_tag: image-to-image
---
**Still work in progress, checkpoints are being uploaded on the go**
**Current best:** LoRA A: qwen-edit-enhance_64-v3_000001000, LoRA B: qwen-edit-enhance_000004250
**V4 Candidates** LoRA A: [qwen-edit-enhance-v4-16_a_000003000](https://huggingface.co/vafipas663/Qwen-Edit-2509-Upscale-LoRA/blob/main/archive/qwen-edit-enhance-v4-16_a_000003000.safetensors)/1000, LoRA B: [qwen-edit-enhance-v4-64_a_000003750](https://huggingface.co/vafipas663/Qwen-Edit-2509-Upscale-LoRA/blob/main/archive/qwen-edit-enhance-v4-64_a_000003750.safetensors)/4750
LoRA A and LoRA B are meant to be wired one after another
Comfy workflow [is in the files](https://huggingface.co/vafipas663/Qwen-Edit-2509-Upscale-LoRA/blob/main/Qwen-Edit-Upscale.json)
Demo: 🤗 [Click here](https://huggingface.co/spaces/akhaliq/Qwen-Edit-2509-Upscale-LoRA)
Prompt:
Enhance image quality, followed by textual description of the scene. The more descriptive it is, the better the upscale effect will be
All images below are from 8 step Lighting LoRA.
* ModelSamplingAuraFlow is a must, shift must be kept **below** 0.3. With higher resolutions, such as image 3, you can set it as low as 0.02
* Samplers - LCM (best), Euler_Ancestral, then Euler
* Schedulers all work and give varying results in terms of smoothness
Trained on a filtered subset of Unsplash-Lite and UltraHR-100K at 2.4MP
* Style: photography
* Subjects include: landscapes, architecture, interiors, portraits, plants, vehicles, abstract photos, man-made objects, food
* Trained to recover from:
> * Low resolution up to 16x
> * Oversharpened images
> * Noise up to 50%
> * Gaussian blur radius up to 3px
> * JPEG artifacts with quality as low as 5%
> * Motion blur up to 64px
> * Pixelation up to 16x
> * Color bands up to 3 bits
> * Images after upscale models - up to 16x
Not trained on: 2d, illustrations, artworks, text, graphics, CGI
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