lightweight-ai/profile – API reference

lightweight-ai / profile

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13 runs

Run lightweight-ai/profile 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
image	string		입력 얼굴 이미지
prompt	string		프롬프트 (이미지 변형만 원할 경우 빈칸으로 두세요)
negative_prompt	string		네거티브 프롬프트
scale	number	0.6 Max: 1	스케일 (입력 이미지가 생성에 미치는 영향)
num_outputs	integer	1 Min: 1 Max: 4	출력 이미지 수
num_inference_steps	integer	30 Min: 1 Max: 500	디노이징 스텝 수
seed	integer		랜덤 시드. 무작위 시드를 원할 경우 빈칸으로 두세요
style	string (enum)	Watercolor Options: Watercolor, Film Noir, Neon, Jungle, Mars, Vibrant Color, Snow, Line art, American high school, Super Hero	이미지 스타일

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 6,
      "description": "\ub79c\ub364 \uc2dc\ub4dc. \ubb34\uc791\uc704 \uc2dc\ub4dc\ub97c \uc6d0\ud560 \uacbd\uc6b0 \ube48\uce78\uc73c\ub85c \ub450\uc138\uc694"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "\uc785\ub825 \uc5bc\uad74 \uc774\ubbf8\uc9c0"
    },
    "scale": {
      "type": "number",
      "title": "Scale",
      "default": 0.6,
      "maximum": 1,
      "minimum": 0,
      "x-order": 3,
      "description": "\uc2a4\ucf00\uc77c (\uc785\ub825 \uc774\ubbf8\uc9c0\uac00 \uc0dd\uc131\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5)"
    },
    "style": {
      "enum": [
        "Watercolor",
        "Film Noir",
        "Neon",
        "Jungle",
        "Mars",
        "Vibrant Color",
        "Snow",
        "Line art",
        "American high school",
        "Super Hero"
      ],
      "type": "string",
      "title": "style",
      "description": "\uc774\ubbf8\uc9c0 \uc2a4\ud0c0\uc77c",
      "default": "Watercolor",
      "x-order": 7
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "",
      "x-order": 1,
      "description": "\ud504\ub86c\ud504\ud2b8 (\uc774\ubbf8\uc9c0 \ubcc0\ud615\ub9cc \uc6d0\ud560 \uacbd\uc6b0 \ube48\uce78\uc73c\ub85c \ub450\uc138\uc694)"
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 4,
      "description": "\ucd9c\ub825 \uc774\ubbf8\uc9c0 \uc218"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 2,
      "description": "\ub124\uac70\ud2f0\ube0c \ud504\ub86c\ud504\ud2b8"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "maximum": 500,
      "minimum": 1,
      "x-order": 5,
      "description": "\ub514\ub178\uc774\uc9d5 \uc2a4\ud15d \uc218"
    }
  }
}

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"
}