ltejedor/stable_diffusion_individual_letters

ltejedor / stable_diffusion_individual_letters

Public
409 runs

Run ltejedor/stable_diffusion_individual_letters 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		Input prompt
num_outputs	integer (enum)	1 Options: 1, 4	Number of images to output
width	integer (enum)	64 Options: 64, 128, 512	Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height	integer (enum)	64 Options: 64, 128, 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
seed	integer		Random seed. Leave blank to randomize the seed

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 6,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "width": {
      "enum": [
        64,
        128,
        512
      ],
      "type": "integer",
      "title": "width",
      "description": "Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
      "default": 64,
      "x-order": 2
    },
    "height": {
      "enum": [
        64,
        128,
        512
      ],
      "type": "integer",
      "title": "height",
      "description": "Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits",
      "default": 64,
      "x-order": 3
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "",
      "x-order": 0,
      "description": "Input prompt"
    },
    "num_outputs": {
      "enum": [
        1,
        4
      ],
      "type": "integer",
      "title": "num_outputs",
      "description": "Number of images to output",
      "default": 1,
      "x-order": 1
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20,
      "minimum": 1,
      "x-order": 5,
      "description": "Scale for classifier-free guidance"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "maximum": 500,
      "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"
}