okgodoit-repos/sd-with-tiling

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Run okgodoit-repos/sd-with-tiling 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 photo of an astronaut riding a horse on mars	Input prompt
negative_prompt	string		Specify things to not see in the output
width	None	512	Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height	None	512	Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
num_inference_steps	integer	50 Min: 1 Max: 500	Number of denoising steps
guidance_scale	number	7.5 Min: 1 Max: 20	Scale for classifier-free guidance
scheduler	None	DPMSolverMultistep	Choose a scheduler.
seed	integer		Random seed. Leave blank to randomize the seed
upscale	boolean	False	Whether to upscale the image 2x
pattern_collection_id	integer	-1	Pattern collection ID
other_metadata	string		Other metadata to pass through

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 7,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "width": {
      "enum": [
        128,
        256,
        384,
        448,
        512,
        576,
        640,
        704,
        768,
        832,
        896,
        960,
        1024
      ],
      "type": "integer",
      "title": "width",
      "description": "Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
      "default": 512,
      "x-order": 2
    },
    "height": {
      "enum": [
        128,
        256,
        384,
        448,
        512,
        576,
        640,
        704,
        768,
        832,
        896,
        960,
        1024
      ],
      "type": "integer",
      "title": "height",
      "description": "Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
      "default": 512,
      "x-order": 3
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "a photo of an astronaut riding a horse on mars",
      "x-order": 0,
      "description": "Input prompt"
    },
    "upscale": {
      "type": "boolean",
      "title": "Upscale",
      "default": false,
      "x-order": 8,
      "description": "Whether to upscale the image 2x"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "K_EULER",
        "DPMSolverMultistep",
        "K_EULER_ANCESTRAL",
        "PNDM",
        "KLMS"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "Choose a scheduler.",
      "default": "DPMSolverMultistep",
      "x-order": 6
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20,
      "minimum": 1,
      "x-order": 5,
      "description": "Scale for classifier-free guidance"
    },
    "other_metadata": {
      "type": "string",
      "title": "Other Metadata",
      "x-order": 10,
      "description": "Other metadata to pass through"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "x-order": 1,
      "description": "Specify things to not see in the output"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "maximum": 500,
      "minimum": 1,
      "x-order": 4,
      "description": "Number of denoising steps"
    },
    "pattern_collection_id": {
      "type": "integer",
      "title": "Pattern Collection Id",
      "default": -1,
      "x-order": 9,
      "description": "Pattern collection ID"
    }
  }
}

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"
}