daun-io/xl-lightning – API reference

daun-io / xl-lightning

Public
313 runs

Run daun-io/xl-lightning 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	An astronaut riding a rainbow unicorn	Input prompt
negative_prompt	string		Input Negative Prompt
image	string		Initial image to generate variations of.
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)	K_EULER Options: DDIM, DPMSolverMultistep, HeunDiscrete, SDE, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM, LCM, TCD	scheduler
num_inference_steps	integer	4 Min: 1 Max: 100	Number of denoising steps
guidance_scale	number	1 Max: 20	Scale for classifier-free guidance
eta	number	0.3 Min: 0.1 Max: 1	Gamma parameter for TCD
strength	number	0.5 Max: 1	prompt strength for img2img pipeline
seed	integer		Random seed. Leave blank to randomize the seed
apply_watermark	boolean	True	Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
disable_safety_checker	boolean	False	Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)

{
  "type": "object",
  "title": "Input",
  "properties": {
    "eta": {
      "type": "number",
      "title": "Eta",
      "default": 0.3,
      "maximum": 1,
      "minimum": 0.1,
      "x-order": 9,
      "description": "Gamma parameter for TCD"
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 11,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "x-order": 2,
      "description": "Initial image to generate variations of."
    },
    "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": "An astronaut riding a rainbow unicorn",
      "x-order": 0,
      "description": "Input prompt"
    },
    "strength": {
      "type": "number",
      "title": "Strength",
      "default": 0.5,
      "maximum": 1,
      "minimum": 0,
      "x-order": 10,
      "description": "prompt strength for img2img pipeline"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "DPMSolverMultistep",
        "HeunDiscrete",
        "SDE",
        "KarrasDPM",
        "K_EULER_ANCESTRAL",
        "K_EULER",
        "PNDM",
        "LCM",
        "TCD"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "scheduler",
      "default": "K_EULER",
      "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": 1,
      "maximum": 20,
      "minimum": 0,
      "x-order": 8,
      "description": "Scale for classifier-free guidance"
    },
    "apply_watermark": {
      "type": "boolean",
      "title": "Apply Watermark",
      "default": true,
      "x-order": 12,
      "description": "Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking."
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 1,
      "description": "Input Negative Prompt"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 4,
      "maximum": 100,
      "minimum": 1,
      "x-order": 7,
      "description": "Number of denoising steps"
    },
    "disable_safety_checker": {
      "type": "boolean",
      "title": "Disable Safety Checker",
      "default": false,
      "x-order": 13,
      "description": "Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)"
    }
  }
}

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"
}