zf-kbot/md-me-image-llada

Fast LLaDA Image Turbo FP8 generation and editing with an optimized text encoder

Public

33 runs

Weights

Run zf-kbot/md-me-image-llada 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		Access key.
prompt	string		Describe the image, or the changes to make to the input image.
input_image	string		Optional reference image for editing.
aspect_ratio	None	auto	auto follows the input image, or uses 1:1 for text-to-image. Explicit ratios center-crop editing references.
resolution_mode	None	longest_edge	longest_edge produces a 1024px longest edge; megapixels uses the selected area.
megapixels	number	1 Min: 0.5 Max: 2	Target output megapixels; ignored in longest_edge mode. High resolutions use CPU offload and take longer.
steps	None	4	Number of sampling steps.
seed	integer	Max: 2147483647	Random seed. Empty chooses a new seed.
file_format	None	jpg	Output image format.

{
  "type": "object",
  "title": "Input",
  "required": [
    "apikey",
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "maximum": 2147483647,
      "minimum": 0,
      "x-order": 7,
      "nullable": true,
      "description": "Random seed. Empty chooses a new seed."
    },
    "steps": {
      "enum": [
        2,
        4,
        6
      ],
      "type": "integer",
      "title": "steps",
      "description": "Number of sampling steps.",
      "default": 4,
      "x-order": 6
    },
    "apikey": {
      "type": "string",
      "title": "Apikey",
      "format": "password",
      "x-order": 0,
      "writeOnly": true,
      "description": "Access key.",
      "x-cog-secret": true
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 1,
      "description": "Describe the image, or the changes to make to the input image."
    },
    "megapixels": {
      "type": "number",
      "title": "Megapixels",
      "default": 1,
      "maximum": 2,
      "minimum": 0.5,
      "x-order": 5,
      "description": "Target output megapixels; ignored in longest_edge mode. High resolutions use CPU offload and take longer."
    },
    "file_format": {
      "enum": [
        "jpg",
        "png"
      ],
      "type": "string",
      "title": "file_format",
      "description": "Output image format.",
      "default": "jpg",
      "x-order": 8
    },
    "input_image": {
      "type": "string",
      "title": "Input Image",
      "format": "uri",
      "x-order": 2,
      "nullable": true,
      "description": "Optional reference image for editing."
    },
    "aspect_ratio": {
      "enum": [
        "auto",
        "1:1",
        "4:3",
        "3:4",
        "3:2",
        "2:3",
        "16:9",
        "9:16",
        "21:9",
        "9:21"
      ],
      "type": "string",
      "title": "aspect_ratio",
      "description": "auto follows the input image, or uses 1:1 for text-to-image. Explicit ratios center-crop editing references.",
      "default": "auto",
      "x-order": 3
    },
    "resolution_mode": {
      "enum": [
        "longest_edge",
        "megapixels"
      ],
      "type": "string",
      "title": "resolution_mode",
      "description": "longest_edge produces a 1024px longest edge; megapixels uses the selected area.",
      "default": "longest_edge",
      "x-order": 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"
}