You're looking at a specific version of this model. Jump to the model overview.
tonyllondon /goal_celebration_v1:2f27c20b
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
A pTony man
|
Input prompt
|
| negative_prompt |
string
|
Specify things to not see in the output
|
|
| image |
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 |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| height |
integer
(enum)
|
512
Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024 |
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| prompt_strength |
number
|
0.8
|
Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| scheduler |
string
(enum)
|
DDIM
Options: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS |
Choose a scheduler
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| disable_safety_check |
boolean
|
False
|
Disable safety check. Use at your own risk!
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}