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anhappdev /test:7f7d040c

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
method
string (enum)
replace

Options:

adjust, replace, remove

The method to use
prompt
string
a photo of an astronaut++ riding a horse on mars
The prompt to guide the image generation. Use ++ to emphasize and -- to de-emphasize parts of the sentence
negative_prompt
string
Specify things to not see in the output
image
string
The image which will be inpainted.Parts of the image will be masked out with `mask_image` and repainted according to `prompt`.
mask_image
string
A black and white image to use as mask for inpainting over the image provided. White pixels in the mask will be repainted, while black pixels will be preserved
num_outputs
integer
3

Min: 1

Max: 8

Number of images to output. Higher number of outputs may cause OOM.
num_inference_steps
integer
30

Min: 1

Max: 50

The number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
control_scale
number
0.5

Max: 1

Scale for ControlNet conditioning
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'}