fermatresearch/magic-image-refiner 🔢🖼️📝❓✓ → 🖼️
About
A better alternative to SDXL refiners, providing a lot of quality and detail. Can also be used for inpainting or upscaling.

Example Output
Prompt:
"UHD 4k vogue, a woman resting in a magic pool, face above the surface of the water, red freckles"
Output

Performance Metrics
3.43s
Prediction Time
3.45s
Total Time
All Input Parameters
{ "hdr": 0, "image": "https://replicate.delivery/pbxt/KA9yP9n3ZX5A5mkoPz3gsPzKTH1NA7LqVkQRTg7Sov46lOfo/0_1.webp", "steps": 20, "prompt": "UHD 4k vogue, a woman resting in a magic pool, face above the surface of the water, red freckles", "scheduler": "DDIM", "creativity": 0.25, "guess_mode": false, "resolution": "original", "resemblance": 0.75, "guidance_scale": 7, "negative_prompt": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant" }
Input Parameters
- hdr
- HDR improvement over the original image
- mask
- When provided, refines some section of the image. Must be the same size as the image
- seed
- Seed
- image
- Image to refine
- steps
- Steps
- prompt
- Prompt for the model
- scheduler
- Choose a scheduler.
- creativity
- Denoising strength. 1 means total destruction of the original image
- guess_mode
- In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
- resolution
- Image resolution
- resemblance
- Conditioning scale for controlnet
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Negative prompt
Output Schema
Output
Example Execution Logs
Using seed: 17908 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:01, 3.82it/s] 40%|████ | 2/5 [00:00<00:00, 3.81it/s] 60%|██████ | 3/5 [00:00<00:00, 3.81it/s] 80%|████████ | 4/5 [00:01<00:00, 3.81it/s] 100%|██████████| 5/5 [00:01<00:00, 3.81it/s] 100%|██████████| 5/5 [00:01<00:00, 3.81it/s]
Version Details
- Version ID
507ddf6f977a7e30e46c0daefd30de7d563c72322f9e4cf7cbac52ef0f667b13
- Version Created
- January 31, 2024