prompthunt / base-inference-swap-cn

  • Public
  • 11 runs

Run prompthunt/base-inference-swap-cn 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
weights
string
Weights url
control_image
string
Optional Image to use for guidance based on posenet
image
string
Optional Image to use for img2img guidance
mask
string
Optional Mask to use for legacy inpainting
prompt
string
photo of cjw person
Input prompt
negative_prompt
string
Specify things to not see in the output
width
integer
512
Width of output image
height
integer
512
Height of output 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: 50

Scale for classifier-free guidance
prompt_strength
number
0.8

Max: 1

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
scheduler
string (enum)
DPMSolverMultistep

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep, KarrasDPM

Choose a scheduler.
seed
integer
Random seed. Leave blank to randomize the seed
should_swap_face
boolean
False
Should swap face
source_image
string
Source image for face swap

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"
}