cjwbw/diffedit-stable-diffusion 🔢🖼️📝 → 🖼️

▶️ 416 runs 📅 Jun 2023 ⚙️ Cog 0.7.2 🔗 GitHub 📄 Paper ⚖️ License

image-editing image-to-image

About

Diffusion-based semantic image editing with mask guidance

Example Output

Output

Performance Metrics

44.26s Prediction Time

236.10s Total Time

All Input Parameters

{
  "image": "https://replicate.delivery/pbxt/IyIBdgYw3DehQHUxK1t0dkX5vmS7QYqzgHmeEYGaxSv4uDUE/origin.png",
  "source_prompt": "a bowl of fruits",
  "target_prompt": "a basket of fruits",
  "guidance_scale": 7.5,
  "num_inference_steps": 50
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
image Type: string: Input image
source_prompt Type: stringDefault: a bowl of fruits: The prompt to guide the semantic mask generation using the method used in the DiffEdit paper
target_prompt Type: stringDefault: a basket of fruits: The prompt to guide the target image generation
guidance_scale Type: numberDefault: 7.5Range: 1 - 20: Scale for classifier-free guidance
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

Using seed: 43695
/root/.pyenv/versions/3.10.12/lib/python3.10/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_diffedit.py:162: FutureWarning: The preprocess method is deprecated and will be removed in a future version. Please use VaeImageProcessor.preprocess instead
warnings.warn(
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Version Details

Version ID: 8c51da11578f75df306db64e27fd337b8b18de902f49b4404b0b340dced96f48
Version Created: June 9, 2023

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