anotherjesse/dreambooth-inference

anotherjesse / dreambooth-inference

Public
28 runs

Run anotherjesse/dreambooth-inference 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
weights	string		URL for weights.zip to use for the model
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
image	string		A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image.
width	integer (enum)	512 Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024	Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height	integer (enum)	512 Options: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024	Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt_strength	number	0.8	Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
num_outputs	integer	1 Min: 1 Max: 4	Number of images to output.
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	string (enum)	DDIM Options: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS	Choose a scheduler
seed	integer		Random seed. Leave blank to randomize the seed
disable_safety_check	boolean	False	Disable safety check. Use at your own risk!

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 11,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 3,
      "description": "A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image."
    },
    "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": 4
    },
    "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": 5
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "a photo of an astronaut riding a horse on mars",
      "x-order": 1,
      "description": "Input prompt"
    },
    "weights": {
      "type": "string",
      "title": "Weights",
      "x-order": 0,
      "description": "URL for weights.zip to use for the model"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "K_EULER",
        "DPMSolverMultistep",
        "K_EULER_ANCESTRAL",
        "PNDM",
        "KLMS"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "Choose a scheduler",
      "default": "DDIM",
      "x-order": 10
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 7,
      "description": "Number of images to output."
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20,
      "minimum": 1,
      "x-order": 9,
      "description": "Scale for classifier-free guidance"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "x-order": 2,
      "description": "Specify things to not see in the output"
    },
    "prompt_strength": {
      "type": "number",
      "title": "Prompt Strength",
      "default": 0.8,
      "x-order": 6,
      "description": "Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "maximum": 500,
      "minimum": 1,
      "x-order": 8,
      "description": "Number of denoising steps"
    },
    "disable_safety_check": {
      "type": "boolean",
      "title": "Disable Safety Check",
      "default": false,
      "x-order": 12,
      "description": "Disable safety check. Use at your own risk!"
    }
  }
}

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"
}