zf-kbot/md-me-qwen-1 | API reference

Public

555.4K runs

Run zf-kbot/md-me-qwen-1 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
apikey	string		API 密钥
input_image	string		Input image
prompt	string		Edit prompt
ref_image	string		Optional second reference image for multi-image editing
num_inference_steps	integer	4 Min: 2 Max: 8	Inference steps (Rapid is usually 4)
megapixels	number	1 Min: 0.25 Max: 4	Resize target for each input image in megapixels (higher is slower)
aspect_ratio	None	default	出图比例
color_match_switch	boolean	False	启用颜色匹配
seed	integer	-1	Random seed, -1 for random
output_format	None	jpg	Output format
output_quality	integer	85 Min: 1 Max: 100	Output quality for jpg

{
  "type": "object",
  "title": "Input",
  "required": [
    "apikey",
    "input_image",
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": -1,
      "x-order": 8,
      "description": "Random seed, -1 for random"
    },
    "apikey": {
      "type": "string",
      "title": "Apikey",
      "x-order": 0,
      "description": "API \u5bc6\u94a5"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 2,
      "description": "Edit prompt"
    },
    "ref_image": {
      "type": "string",
      "title": "Ref Image",
      "format": "uri",
      "x-order": 3,
      "nullable": true,
      "description": "Optional second reference image for multi-image editing"
    },
    "megapixels": {
      "type": "number",
      "title": "Megapixels",
      "default": 1,
      "maximum": 4,
      "minimum": 0.25,
      "x-order": 5,
      "description": "Resize target for each input image in megapixels (higher is slower)"
    },
    "input_image": {
      "type": "string",
      "title": "Input Image",
      "format": "uri",
      "x-order": 1,
      "description": "Input image"
    },
    "aspect_ratio": {
      "enum": [
        "default",
        "1:1",
        "3:2",
        "2:3",
        "4:3",
        "3:4",
        "16:9",
        "9:16",
        "21:9",
        "9:21"
      ],
      "type": "string",
      "title": "aspect_ratio",
      "description": "\u51fa\u56fe\u6bd4\u4f8b",
      "default": "default",
      "x-order": 6
    },
    "output_format": {
      "enum": [
        "png",
        "jpg"
      ],
      "type": "string",
      "title": "output_format",
      "description": "Output format",
      "default": "jpg",
      "x-order": 9
    },
    "output_quality": {
      "type": "integer",
      "title": "Output Quality",
      "default": 85,
      "maximum": 100,
      "minimum": 1,
      "x-order": 10,
      "description": "Output quality for jpg"
    },
    "color_match_switch": {
      "type": "boolean",
      "title": "Color Match Switch",
      "default": false,
      "x-order": 7,
      "description": "\u542f\u7528\u989c\u8272\u5339\u914d"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 4,
      "maximum": 8,
      "minimum": 2,
      "x-order": 4,
      "description": "Inference steps (Rapid is usually 4)"
    }
  }
}

Output schema

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

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}