christophy/pixart-xl-2 – API reference

christophy / pixart-xl-2

Public
1 run

Run christophy/pixart-xl-2 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	A small cactus with a happy face in the Sahara desert	Input prompt
negative_prompt	string		Negative prompt
style	string (enum)	None Options: None, Cinematic, Photographic, Anime, Manga, Digital Art, Pixel Art, Fantasy Art, Neonpunk, 3D Model	Image style
width	integer	1024	Width of output image
height	integer	1024	Height of output image
num_outputs	integer	1 Min: 1 Max: 4	Number of images to output.
scheduler	string (enum)	DPMSolverMultistep Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM	scheduler
num_inference_steps	integer	14 Min: 1 Max: 100	Number of denoising steps
guidance_scale	number	4.5 Min: 1 Max: 50	Scale for classifier-free guidance
seed	integer		Random seed. Leave blank to randomize the seed

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 9,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "style": {
      "enum": [
        "None",
        "Cinematic",
        "Photographic",
        "Anime",
        "Manga",
        "Digital Art",
        "Pixel Art",
        "Fantasy Art",
        "Neonpunk",
        "3D Model"
      ],
      "type": "string",
      "title": "style",
      "description": "Image style",
      "default": "None",
      "x-order": 2
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 1024,
      "x-order": 3,
      "description": "Width of output image"
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 1024,
      "x-order": 4,
      "description": "Height of output image"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "A small cactus with a happy face in the Sahara desert",
      "x-order": 0,
      "description": "Input prompt"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "DPMSolverMultistep",
        "HeunDiscrete",
        "KarrasDPM",
        "K_EULER_ANCESTRAL",
        "K_EULER",
        "PNDM"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "scheduler",
      "default": "DPMSolverMultistep",
      "x-order": 6
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 5,
      "description": "Number of images to output."
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 4.5,
      "maximum": 50,
      "minimum": 1,
      "x-order": 8,
      "description": "Scale for classifier-free guidance"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "x-order": 1,
      "description": "Negative prompt"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 14,
      "maximum": 100,
      "minimum": 1,
      "x-order": 7,
      "description": "Number of denoising steps"
    }
  }
}

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"
}