tonyllondon/goal_celebration_v1 🔢🖼️❓📝✓ → 🖼️

▶️ 523 runs 📅 Nov 2022 ⚙️ Cog 0.6.0
football goal-celebration image-generation soccer sports text-to-image

About

A crazy model which maybe does nothing, maybe does something, but its supposed to be about football.

Example Output

Prompt:

"A photo of the greatest footballer of all time celebrating his world cup winning goal"

Output

Example output

Performance Metrics

21.36s Prediction Time
21.40s Total Time
All Input Parameters
{
  "width": 512,
  "height": 512,
  "prompt": "A photo of the greatest footballer of all time celebrating his world cup winning goal",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "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 pTony man
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: arrayItems Type: stringItems Format: uri

Example Execution Logs
Loading pipeline...
Using seed: 10074
Global seed set to 10074
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Version Details
Version ID
2f27c20b620b50ea938a9ddbef80f801349f8575e6a3a3525df9488b501ef995
Version Created
February 7, 2023
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