anotherjesse/dogbooth 🔢❓📝 → 🖼️

▶️ 100 runs 📅 Dec 2022 ⚙️ Cog 0.5.0
text-to-image

About

Example Output

Prompt:

"a velvet painting of dgg playing poker"

Output

Example output

Performance Metrics

3.21s Prediction Time
3.25s Total Time
All Input Parameters 
{
  "seed": 64596,
  "width": "512",
  "height": "512",
  "prompt": "a velvet painting of dgg playing poker",
  "scheduler": "DDIM",
  "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: K_EULER
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: 64596
using weights:  True
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Version Details
Version ID
35b7f2e003fc1611c44ca016dbfb7e8b3489bcc81b7d7e7580c61d3e7cad803c
Version Created
December 12, 2022
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