mamorett/samothraki-upscaler 🔢🖼️❓✓ → 🖼️

▶️ 217 runs 📅 Feb 2025 ⚙️ Cog 0.13.7 🔗 GitHub ⚖️ License

image-restoration image-upscaling

About

An upscaler based on tile and inpaint controlnets, aimed to preserve the original image while injecting more details.

Example Output

Output

Performance Metrics

56.64s Prediction Time

130.19s Total Time

All Input Parameters

{
  "hdr": 0,
  "image": "https://replicate.delivery/pbxt/MXKxGd3rAIynZHXnoOl2yfdABF9IgOJ6pTQUGbAoff6sjWBv/Trithemiana%201.0_00001___0012.png_realvisxlV50_v50Bakedvae_0001.png_flux_dev8_0002.png",
  "denoise": 1,
  "upscaler": "4x_NMKD-Siax_200k",
  "upscale_by": 2,
  "guidance_scale": 3,
  "color_correction": true,
  "num_inference_steps": 20
}

Input Parameters

hdr Type: numberDefault: 0: HDR effect intensity
image (required) Type: string: Input image to process
denoise Type: numberDefault: 1: Denoise, use 1.0 for best results
upscaler Default: 4x_NMKD-Siax_200k: Upscaler
upscale_by Type: numberDefault: 2: Upscale By
guidance_scale Type: numberDefault: 3: Guidance scale
calculate_tiles Type: booleanDefault: false: Calculate tile size. If not set tile size is set to 1024
color_correction Type: booleanDefault: true: Wavelet Color Correction
num_inference_steps Type: integerDefault: 20: Number of inference steps

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

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x_freq = fftn(x, dim=(-2, -1))
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Version Details

Version ID: 0bd37edaac38b4262b4533129bd3af8845cfd972fbe00aaeb0870d3adddd6fb9
Version Created: March 4, 2025

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