okgodoit-repos/mindprint-sdxl

Mindprint seamless-tiling SDXL base + fp16-fix VAE (circular Conv2d padding).

Public

2 runs

Run okgodoit-repos/mindprint-sdxl 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	seamless repeating art deco geometric pattern, gold and navy, textile print	Input prompt
negative_prompt	string		Specify things to not see in the output
width	None	1024	Width of output image (SDXL is trained at 1024).
height	None	1024	Height of output image (SDXL is trained at 1024).
num_inference_steps	integer	30 Min: 1 Max: 100	Number of denoising steps
guidance_scale	number	7 Min: 1 Max: 20	Scale for classifier-free guidance
scheduler	None	DPMSolverMultistep	Choose a scheduler.
seed	integer	-1	Random seed. Use -1 (the default) to randomize.
tiling	None	enable	Tiling is always enabled (circular conv padding); accepted for API compatibility
num_outputs	integer	1 Min: 1 Max: 4	Number of images to generate
pattern_collection_id	integer	-1	Pattern collection ID
metadata	string		Opaque metadata passed through to the webhook

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": -1,
      "x-order": 7,
      "description": "Random seed. Use -1 (the default) to randomize."
    },
    "width": {
      "enum": [
        512,
        640,
        768,
        896,
        1024
      ],
      "type": "integer",
      "title": "width",
      "description": "Width of output image (SDXL is trained at 1024).",
      "default": 1024,
      "x-order": 2
    },
    "height": {
      "enum": [
        512,
        640,
        768,
        896,
        1024
      ],
      "type": "integer",
      "title": "height",
      "description": "Height of output image (SDXL is trained at 1024).",
      "default": 1024,
      "x-order": 3
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "seamless repeating art deco geometric pattern, gold and navy, textile print",
      "x-order": 0,
      "description": "Input prompt"
    },
    "tiling": {
      "enum": [
        "enable",
        "disable"
      ],
      "type": "string",
      "title": "tiling",
      "description": "Tiling is always enabled (circular conv padding); accepted for API compatibility",
      "default": "enable",
      "x-order": 8
    },
    "metadata": {
      "type": "string",
      "title": "Metadata",
      "default": "",
      "x-order": 11,
      "description": "Opaque metadata passed through to the webhook"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "K_EULER",
        "DPMSolverMultistep",
        "K_EULER_ANCESTRAL",
        "PNDM",
        "KLMS"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "Choose a scheduler.",
      "default": "DPMSolverMultistep",
      "x-order": 6
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 9,
      "description": "Number of images to generate"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7,
      "maximum": 20,
      "minimum": 1,
      "x-order": 5,
      "description": "Scale for classifier-free guidance"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 1,
      "description": "Specify things to not see in the output"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "maximum": 100,
      "minimum": 1,
      "x-order": 4,
      "description": "Number of denoising steps"
    },
    "pattern_collection_id": {
      "type": "integer",
      "title": "Pattern Collection Id",
      "default": -1,
      "x-order": 10,
      "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"
}