cjwbw/dreambooth-avatar 🔢❓📝 → 🖼️

▶️ 590 runs 📅 Feb 2023 ⚙️ Cog 0.6.1

About

Dreambooth finetuning of Stable Diffusion (v1.5.1) on Avatar art style by Lambda Labs

Example Output

Prompt:

"Yoda, avatarart style"

Output

Performance Metrics

24.12s Prediction Time

24.19s Total Time

All Input Parameters

{
  "width": 512,
  "height": 512,
  "prompt": "Yoda, avatarart style",
  "scheduler": "DPMSolverMultistep",
  "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: 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:: 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

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Version Details

Version ID: 381cc743d5880b92869ac05cafda83834931ae7b5ae3e627ce993dfd9b1194e1
Version Created: February 7, 2023

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