usamaehsan/flux2-klein-4b-edit-fp8

FLUX.2 klein 4B image edit, fp8 quantized for max speed on L40S

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31 runs

Run usamaehsan/flux2-klein-4b-edit-fp8 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	array		Input image(s). 1 for editing, up to 4 references
prompt	string		Edit instruction or generation prompt
width	integer	0 Max: 2048	Output width (0 = use input size)
height	integer	0 Max: 2048	Output height (0 = use input size)
num_inference_steps	integer	4 Min: 1 Max: 8	Steps (model distilled for 4)
guidance_scale	number	1 Max: 10	None
seed	integer		Random seed
output_format	None	jpg	None
output_quality	integer	90 Min: 1 Max: 100	None

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 6,
      "description": "Random seed"
    },
    "image": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uri"
      },
      "title": "Image",
      "x-order": 0,
      "description": "Input image(s). 1 for editing, up to 4 references"
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 0,
      "maximum": 2048,
      "minimum": 0,
      "x-order": 2,
      "description": "Output width (0 = use input size)"
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 0,
      "maximum": 2048,
      "minimum": 0,
      "x-order": 3,
      "description": "Output height (0 = use input size)"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 1,
      "description": "Edit instruction or generation prompt"
    },
    "output_format": {
      "enum": [
        "png",
        "jpg",
        "webp"
      ],
      "type": "string",
      "title": "output_format",
      "description": "An enumeration.",
      "default": "jpg",
      "x-order": 7
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 1,
      "maximum": 10,
      "minimum": 0,
      "x-order": 5
    },
    "output_quality": {
      "type": "integer",
      "title": "Output Quality",
      "default": 90,
      "maximum": 100,
      "minimum": 1,
      "x-order": 8
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 4,
      "maximum": 8,
      "minimum": 1,
      "x-order": 4,
      "description": "Steps (model distilled for 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"
}