zhizdev/noona-v1 | API reference

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Run zhizdev/noona-v1 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 beautiful landscape painting	Text prompt for image generation
negative_prompt	string	nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry	Negative prompt to guide what should not appear in the image
width	None	1024	Width of the generated image
height	None	1024	Height of the generated image
num_inference_steps	integer	28 Min: 1 Max: 100	Number of denoising steps
guidance_scale	number	7 Min: 1 Max: 20	Guidance scale for classifier-free guidance
seed	integer	-1 Min: -1 Max: 2147483647	Random seed for reproducibility (-1 for random seed)
num_outputs	integer	1 Min: 1 Max: 4	Number of images to generate

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": -1,
      "maximum": 2147483647,
      "minimum": -1,
      "x-order": 6,
      "description": "Random seed for reproducibility (-1 for random seed)"
    },
    "width": {
      "enum": [
        512,
        768,
        896,
        1024,
        1152,
        1216,
        1344,
        1536,
        2048
      ],
      "type": "integer",
      "title": "width",
      "description": "Width of the generated image",
      "default": 1024,
      "x-order": 2
    },
    "height": {
      "enum": [
        512,
        768,
        896,
        1024,
        1152,
        1216,
        1344,
        1536,
        2048
      ],
      "type": "integer",
      "title": "height",
      "description": "Height of the generated image",
      "default": 1024,
      "x-order": 3
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "a beautiful landscape painting",
      "x-order": 0,
      "description": "Text prompt for image generation"
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 7,
      "description": "Number of images to generate"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7,
      "maximum": 20,
      "minimum": 1,
      "x-order": 5,
      "description": "Guidance scale for classifier-free guidance"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry",
      "x-order": 1,
      "description": "Negative prompt to guide what should not appear in the image"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 28,
      "maximum": 100,
      "minimum": 1,
      "x-order": 4,
      "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"
}