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vivalapanda /stable-diffusion-blip:18d132d6
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
|
|
Input prompt
|
| width |
integer
(enum)
|
128
Options: 128, 256, 512, 768, 1024 |
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| height |
integer
(enum)
|
128
Options: 128, 256, 512, 768, 1024 |
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| init_image |
string
|
Inital image to generate variations of. Will be resized to the specified width and height
|
|
| mask |
string
|
Black and white image to use as mask for inpainting over init_image. Black pixels are inpainted and white pixels are preserved. Experimental feature, tends to work better with prompt strength of 0.5-0.7
|
|
| 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
(enum)
|
1
Options: 1, 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
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}