tstramer/redshift-diffusion 🔢❓📝 → 🖼️

▶️ 115.8K runs 📅 Nov 2022 ⚙️ Cog 0.6.1

About

Example Output

Prompt:

"redshift style ford mustang"

Output

Performance Metrics

9.22s Prediction Time

115.85s Total Time

All Input Parameters

{
  "width": 512,
  "height": 512,
  "prompt": "redshift style ford mustang",
  "scheduler": "K-LMS",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
width Default: 768: Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 768: Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault: a photo of an astronaut riding a horse on mars: Input prompt
scheduler Default: DPMSolverMultistep: Choose a scheduler.
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
guidance_scale Type: numberDefault: 7.5Range: 1 - 20: Scale for classifier-free guidance
negative_prompt Type: string: Specify things to not see in the output
prompt_strength Type: numberDefault: 0.8: Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

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

Example Execution Logs

Using seed: 48815

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Version Details

Version ID: 798e323add1733e0124be33b3ffcf95c114dc16858e9e926c9854ce1c37a8fa7
Version Created: January 4, 2023

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