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andreasjansson /stable-diffusion-inpainting:e490d072
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
|
| negative_prompt |
string
|
|
The prompt or prompts not to guide the image generation. Ignored when not using guidance (i.e., ignored if `guidance_scale` is less than `1`).
|
| image |
string
|
Input image to in-paint. Width and height should both be divisible by 8. If they're not, the image will be center cropped to the nearest width and height divisible by 8
|
|
| mask |
string
|
Black and white image to use as mask. White pixels are inpainted and black pixels are preserved.
|
|
| invert_mask |
boolean
|
False
|
If this is true, then black pixels are inpainted and white pixels are preserved.
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output. NSFW filter in enabled, so you may get fewer outputs than requested if flagged
|
| 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'}