Qwen Edit Upscale LoRA

https://huggingface.co/vafipas663/Qwen-Edit-2509-Upscale-LoRA

Long story short, I was waiting for someone to make a proper upscaler, because Magnific sucks in 2025; SUPIR was the worst invention ever; Flux is wonky, and Wan takes too much effort for me. I was looking for something that would give me crisp results, while preserving the image structure.

Since nobody’s done it before, I’ve spent last week making this thing, and I’m as mindblown as I was when Magnific first came out. Look how accurate it is – it even kept the button on Harold Pain’s shirt, and the hairs on the kitty!

Comfy workflow is in the files on huggingface. It has rgtree image comparer node, otherwise all 100% core nodes.

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 in 40 sec on an L4

• 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
• Resolutions: this thing can generate large resolution images natively, however, I still need to retrain it for larger sizes. I’ve also had an idea to use tiling, but it’s WIP

Trained on a filtered subset of Unsplash-Lite and UltraHR-100K

• 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