publu/rubberducky 🔢🖼️❓📝✓ → 🖼️

▶️ 542 runs 📅 Mar 2023 ⚙️ Cog 0.6.0
image-to-image text-to-image

About

Trained to create rubber ducks. That is all.

Example Output

Prompt:

"a photo of a rubber duck ducky, cartoon, baking hat"

Output

Example output

Performance Metrics

14.11s Prediction Time
161.75s Total Time
All Input Parameters 
{
  "width": 512,
  "height": 512,
  "prompt": "a photo of a rubber duck ducky, cartoon, baking hat",
  "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
image Type: string
A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image.
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: a photo of a rubber duck ducky
Input prompt
scheduler Default: DDIM
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
disable_safety_check Type: booleanDefault: false
Disable safety check. Use at your own risk!
Output Schema

Output

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

Example Execution Logs 
Using seed: 26842
using txt2img
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Version Details
Version ID
8ab090227b436ce29a48230c167c81dc7b3022b35d0930121b210dbca5a614a0
Version Created
March 28, 2023
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