pagebrain/dreambooth-inference

pagebrain / dreambooth-inference

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95 runs

Run pagebrain/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
prompt	string		Input prompt
weights_url	string		URL to weights
negative_prompt	string		Specify things to not see in the output. Supported embeddings: realisticvision-negative-embedding, BadDream, EasyNegative, negative_hand-neg, ng_deepnegative_v1_75t, FastNegativeV2, UnrealisticDream
image	string		Input image for img2img or inpaint mode
mask	string		Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
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)	K_EULER Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM, KLMS	scheduler
seed	integer		Random seed. Leave blank to randomize the seed
safety_checker	boolean	True	Safety checker. Disable to expose unfiltered results

{
  "type": "object",
  "title": "Input",
  "required": [
    "weights_url"
  ],
  "properties": {
    "mask": {
      "type": "string",
      "title": "Mask",
      "format": "uri",
      "x-order": 4,
      "description": "Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted."
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 12,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 3,
      "description": "Input image for img2img or inpaint mode"
    },
    "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": 5
    },
    "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": 6
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Input prompt"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "DPMSolverMultistep",
        "HeunDiscrete",
        "KarrasDPM",
        "K_EULER_ANCESTRAL",
        "K_EULER",
        "PNDM",
        "KLMS"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "scheduler",
      "default": "K_EULER",
      "x-order": 11
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 8,
      "description": "Number of images to output."
    },
    "weights_url": {
      "type": "string",
      "title": "Weights Url",
      "x-order": 1,
      "description": "URL to weights"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20,
      "minimum": 1,
      "x-order": 10,
      "description": "Scale for classifier-free guidance"
    },
    "safety_checker": {
      "type": "boolean",
      "title": "Safety Checker",
      "default": true,
      "x-order": 13,
      "description": "Safety checker. Disable to expose unfiltered results"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "x-order": 2,
      "description": "Specify things to not see in the output. Supported embeddings: realisticvision-negative-embedding, BadDream, EasyNegative, negative_hand-neg, ng_deepnegative_v1_75t, FastNegativeV2, UnrealisticDream"
    },
    "prompt_strength": {
      "type": "number",
      "title": "Prompt Strength",
      "default": 0.8,
      "x-order": 7,
      "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": 9,
      "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"
}