iceclear/stablesr 🔢🖼️❓ → 🖼️

▶️ 5.2K runs 📅 Jul 2023 ⚙️ Cog 0.8.3 🔗 GitHub 📄 Paper ⚖️ License

image-restoration image-upscaling

About

Exploiting Diffusion Prior for Real-World Image Super-Resolution

Example Output

Output

Performance Metrics

22.79s Prediction Time

22.75s Total Time

All Input Parameters

{
  "seed": 42,
  "upscale": 4,
  "ddpm_steps": 200,
  "input_image": "https://replicate.delivery/pbxt/JPdHjT2nuixBTTtKrwMFyy9UE1QqB7Mr0T7baVtgnq7l4ogK/OST_120.png",
  "tile_overlap": 32,
  "colorfix_type": "adain",
  "fidelity_weight": 0.5
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
upscale Type: numberDefault: 4: The upscale for super-resolution, 4x SR by default
ddpm_steps Type: integerDefault: 200: Number of DDPM steps for sampling
input_image (required) Type: string: Input image
tile_overlap Type: integerDefault: 32Range: 0 - 64: The overlap between tiles, betwwen 0 to 64
colorfix_type Default: adain
fidelity_weight Type: numberDefault: 0.5: Balance the quality (lower number) and fidelity (higher number)

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

Using seed: 42
Global seed set to 42
loaded input image of size (128, 128) from /tmp/tmpe7rru6n3OST_120.png
torch.Size([1, 3, 512, 512])
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Version Details

Version ID: 01e431cbcf30e2307c61dadca4db988411bc297d35f9bcad8b84ec1462cfe51b
Version Created: July 30, 2023

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