Image-to-Image
Diffusers
lora

2025-11-08 03-09-06 (0-00-14-28)

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_000003000/1000, LoRA B: qwen-edit-enhance-v4-64_a_000003750/4750

LoRA A and LoRA B are meant to be wired one after another

Comfy workflow is in the files

Demo: πŸ€— Click here

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

2025-11-08 03-09-07 (0-00-02-28)

2025-11-08 03-09-06 (0-00-29-02)

2025-11-08 03-09-06 (0-00-35-15)

2025-11-08 03-09-06 (0-00-56-16)

2025-11-08 03-09-06 (0-01-09-04)

Downloads last month
29,476
Inference Providers NEW

Model tree for vafipas663/Qwen-Edit-2509-Upscale-LoRA

Adapter
(47)
this model

Datasets used to train vafipas663/Qwen-Edit-2509-Upscale-LoRA

Spaces using vafipas663/Qwen-Edit-2509-Upscale-LoRA 11