jyoung105/hyper-flux – API reference

jyoung105 / hyper-flux

Public
21 runs
A100 (80GB)

Run jyoung105/hyper-flux 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
prompt	string		Input prompt, text of what you want to generate.
width	integer	1024 Min: 1 Max: 2048	Width of the output image.
height	integer	1024 Min: 1 Max: 2048	Height of the output image.
num_images	integer	1 Min: 1 Max: 4	Number of output images.
steps	integer (enum)	16 Options: 8, 16	Number of denoising steps.
guidance_scale	number	3.5 Max: 20	Scale for classifier-free guidance.
seed	integer		Random seed. Leave blank to randomize the seed.
use_tiny	boolean	True	Use a tiny VAE model to speed up inference.

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 6,
      "description": "Random seed. Leave blank to randomize the seed."
    },
    "steps": {
      "enum": [
        8,
        16
      ],
      "type": "integer",
      "title": "steps",
      "description": "Number of denoising steps.",
      "default": 16,
      "x-order": 4
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 1024,
      "maximum": 2048,
      "minimum": 1,
      "x-order": 1,
      "description": "Width of the output image."
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 1024,
      "maximum": 2048,
      "minimum": 1,
      "x-order": 2,
      "description": "Height of the output image."
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Input prompt, text of what you want to generate."
    },
    "use_tiny": {
      "type": "boolean",
      "title": "Use Tiny",
      "default": true,
      "x-order": 7,
      "description": "Use a tiny VAE model to speed up inference."
    },
    "num_images": {
      "type": "integer",
      "title": "Num Images",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 3,
      "description": "Number of output images."
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 3.5,
      "maximum": 20,
      "minimum": 0,
      "x-order": 5,
      "description": "Scale for classifier-free guidance."
    }
  }
}

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"
}