A step-by-step guide to fixing blurry old photos
Old photo blurring is characterized by low resolution, loss of detail, and noise, and DiffBIR improves these conditions by generating a diffusion model.
- Preparation phase:
- Scan or take blurry photos and save as JPG/PNG format
- Ensure that the image size does not exceed the tool's processing limit (within 1024 x 1024px is recommended)
- If you need to process color photos, make sure they are in RGB mode.
- Operational Processes:
- Putting images into the inputs folder
- Execute command `python inference.py -input_dir inputs -output_dir outputs`
- Add `-face_enhance` parameter to enhance the face area (e.g. include portrait)
- Advanced Tips:
- Multiple degraded photos can try different pre-trained models
- Significant processing speed increases with GPU acceleration
- If you are not satisfied with the result, you can adjust the `-scale` parameter to control the intensity of the repair.
Typical processing results: clarity improved by 300%, noise reduced by 80%, texture details restored significantly. It is recommended to keep the original file backup for important photos.
This answer comes from the articleDiffBIR: Intelligent Repair Tool to Improve Image QualityThe
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