cjwbw/analog-diffusion 🔢❓📝 → 🖼️

▶️ 234.6K runs 📅 Dec 2022 ⚙️ Cog 0.6.1

About

a dreambooth model trained on a diverse set of analog photographs

Example Output

Prompt:

"analog style closeup portrait of cowboy George Washington"

Output

Performance Metrics

31.11s Prediction Time

151.02s Total Time

All Input Parameters

{
  "width": 512,
  "height": 512,
  "prompt": "analog style closeup portrait of cowboy George Washington",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 7,
  "negative_prompt": "blur haze",
  "num_inference_steps": 20
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
width Default: 512: Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 512: Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault: analog style closeup portrait of cowboy George Washington: Input prompt
scheduler Default: K_EULER_ANCESTRAL: Choose a scheduler.
num_outputs Default: 1: Number of images to output
guidance_scale Type: numberDefault: 7Range: 1 - 20: Scale for classifier-free guidance
negative_prompt Type: stringDefault: blur haze: The prompt or prompts not to guide the image generation (what you do not want to see in the generation). Ignored when not using guidance.
num_inference_steps Type: integerDefault: 20Range: 1 - 500: Number of denoising steps

Output Schema

Output

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

Example Execution Logs

Using seed: 52975
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Version Details

Version ID: 1f7f51e8b2e43ade14fb7d6d62385854477e078ac870778aafecf70c0a6de006
Version Created: January 1, 2023

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