prompthunt/base-inference-swap-cn

prompthunt / base-inference-swap-cn

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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

{
  "type": "object",
  "title": "Input",
  "properties": {
    "mask": {
      "type": "string",
      "title": "Mask",
      "format": "uri",
      "x-order": 3,
      "description": "Optional Mask to use for legacy inpainting"
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 13,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 2,
      "description": "Optional Image to use for img2img guidance"
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 512,
      "x-order": 6,
      "description": "Width of output image"
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 512,
      "x-order": 7,
      "description": "Height of output image"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "photo of cjw person",
      "x-order": 4,
      "description": "Input prompt"
    },
    "weights": {
      "type": "string",
      "title": "Weights",
      "x-order": 0,
      "description": "Weights url"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "DPMSolverMultistep",
        "HeunDiscrete",
        "K_EULER_ANCESTRAL",
        "K_EULER",
        "KLMS",
        "PNDM",
        "UniPCMultistep",
        "KarrasDPM"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "Choose a scheduler.",
      "default": "DPMSolverMultistep",
      "x-order": 12
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 8,
      "description": "Number of images to output."
    },
    "source_image": {
      "type": "string",
      "title": "Source Image",
      "format": "uri",
      "x-order": 15,
      "description": "Source image for face swap"
    },
    "control_image": {
      "type": "string",
      "title": "Control Image",
      "format": "uri",
      "x-order": 1,
      "description": "Optional Image to use for guidance based on posenet"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 50,
      "minimum": 1,
      "x-order": 10,
      "description": "Scale for classifier-free guidance"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 5,
      "description": "Specify things to not see in the output"
    },
    "prompt_strength": {
      "type": "number",
      "title": "Prompt Strength",
      "default": 0.8,
      "maximum": 1,
      "minimum": 0,
      "x-order": 11,
      "description": "Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image"
    },
    "should_swap_face": {
      "type": "boolean",
      "title": "Should Swap Face",
      "default": false,
      "x-order": 14,
      "description": "Should swap face"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "maximum": 500,
      "minimum": 1,
      "x-order": 9,
      "description": "Number of denoising steps"
    }
  }
}

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"
}