anotherjesse / stable-delta

  • Public
  • 1.4K runs

Run anotherjesse/stable-delta with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

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
None
512
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
None
512
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
None
1
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
delta
string
a list of deltas to apply to embedding (see readme)

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}