lambdal/stable-diffusion-image-variation 🔢🖼️❓ → 🖼️

▶️ 370.1K runs 📅 Sep 2022 ⚙️ Cog 0.4.2 🔗 GitHub ⚖️ License
image-to-image image-variation

About

Image Variations with Stable Diffusion

Example Output

Output

Example output

Performance Metrics

7.01s Prediction Time
7.05s Total Time
All Input Parameters
{
  "input_image": "https://replicate.delivery/pbxt/Hx7Lz9S1R56PHHotowtxAqDL8QYcB3pcb9qLUxM2zjA59J8d/ghibli.jpg",
  "num_outputs": "1",
  "guidance_scale": "5",
  "num_inference_steps": "25"
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
input_image Type: string
Input Image
num_outputs Default: 1
Number of images to output
guidance_scale Type: numberDefault: 3Range: 1 - 20
Scale for classifier-free guidance
num_inference_steps Type: integerDefault: 25Range: 1 - 50
Number of denoising steps
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using seed: 58195
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Version Details
Version ID
7c399ba0e1b33ed8ec39ed30eb6b0a2d9e054462543c428c251293034af82a8e
Version Created
December 13, 2022
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