lightweight-ai/m_f1d_s | API reference

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Run lightweight-ai/m_f1d_s 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
output_format	None	png	Format of the output images
seed	integer		Random seed. Set for reproducible generation
image	string		Upload an image for inpainting. This will be the base image that will be partially modified.
loras	array	[]	Lora list (Realism, Karina, IU)
width	integer	1024	Width of output image
height	integer	1024	Height of output image
prompt	string	A bohemian-style female travel blogger with sun-kissed skin and messy beach waves	Prompt for generated image
version	number	0	API version number. Different versions may produce different results.
fast_mode	boolean	False	Fast response mode - skip actual generation if true
brightness	number	1	None
lora_scales	array	[]	Lora scales
num_outputs	integer	1 Min: 1 Max: 4	Number of images to output.
nsfw_chekcer	boolean	False	None
guidance_scale	number	3.5	None
output_quality	integer	100 Max: 100	Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
prompt_strength	number	0.8 Max: 1	Prompt strength (or denoising strength) when using image to image. 1.0 corresponds to full destruction of information in image.
num_inference_steps	integer	28 Min: 1 Max: 50	Number of inference steps

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "description": "Random seed. Set for reproducible generation"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "description": "Upload an image for inpainting. This will be the base image that will be partially modified."
    },
    "loras": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Loras",
      "default": [],
      "description": "Lora list (Realism, Karina, IU)"
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 1024,
      "description": "Width of output image"
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 1024,
      "description": "Height of output image"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "A bohemian-style female travel blogger with sun-kissed skin and messy beach waves",
      "description": "Prompt for generated image"
    },
    "version": {
      "type": "number",
      "title": "Version",
      "default": 0,
      "description": "API version number. Different versions may produce different results."
    },
    "fast_mode": {
      "type": "boolean",
      "title": "Fast Mode",
      "default": false,
      "description": "Fast response mode - skip actual generation if true"
    },
    "brightness": {
      "type": "number",
      "title": "Brightness",
      "default": 1
    },
    "lora_scales": {
      "type": "array",
      "items": {
        "type": "number"
      },
      "title": "Lora Scales",
      "default": [],
      "description": "Lora scales"
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "description": "Number of images to output."
    },
    "nsfw_chekcer": {
      "type": "boolean",
      "title": "Nsfw Chekcer",
      "default": false
    },
    "output_format": {
      "enum": [
        "webp",
        "jpg",
        "png"
      ],
      "type": "string",
      "title": "output_format",
      "description": "Format of the output images",
      "default": "png",
      "x-order": 11
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 3.5
    },
    "output_quality": {
      "type": "integer",
      "title": "Output Quality",
      "default": 100,
      "maximum": 100,
      "minimum": 0,
      "description": "Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs"
    },
    "prompt_strength": {
      "type": "number",
      "title": "Prompt Strength",
      "default": 0.8,
      "maximum": 1,
      "minimum": 0,
      "description": "Prompt strength (or denoising strength) when using image to image. 1.0 corresponds to full destruction of information in image."
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 28,
      "maximum": 50,
      "minimum": 1,
      "description": "Number of inference 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"
}