devinmancuso/tester-push – API reference

devinmancuso / tester-push

Public
23 runs

Run devinmancuso/tester-push 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	An astronaut riding a rainbow unicorn	Input prompt
negative_prompt	string		Input Negative Prompt
image	string		Input image for img2img or inpaint mode
width	integer	1024	Width of output image
height	integer	1024	Height of output image
num_outputs	integer	1 Min: 1 Max: 4	Number of images to output.
scheduler	string (enum)	DPMSolverMultistep Options: DDIM, DPMSolverMultistep, DPMPP_2M_SDE, DPMPP_2M_SDE_KARRAS, DPMPP_2M_KARRAS, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM	scheduler
num_inference_steps	integer	50 Min: 1 Max: 500	Number of denoising steps
guidance_scale	number	7.5 Min: 1 Max: 50	Scale for classifier-free guidance
prompt_strength	number	0.8 Max: 1	Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
seed	integer		Random seed. Leave blank to randomize the seed
apply_watermark	boolean	True	Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
lora_scale	number	1 Max: 1	LoRA additive scale. Only applicable on trained models.
lora_id	string	galverse/mama-1.5	Path to the lora model on huggingface. Leave blank to use the default weights.

{
  "type": "object",
  "title": "Input",
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 10,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 2,
      "description": "Input image for img2img or inpaint mode"
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 1024,
      "x-order": 3,
      "description": "Width of output image"
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 1024,
      "x-order": 4,
      "description": "Height of output image"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "An astronaut riding a rainbow unicorn",
      "x-order": 0,
      "description": "Input prompt"
    },
    "lora_id": {
      "type": "string",
      "title": "Lora Id",
      "default": "galverse/mama-1.5",
      "x-order": 13,
      "description": "Path to the lora model on huggingface. Leave blank to use the default weights."
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "DPMSolverMultistep",
        "DPMPP_2M_SDE",
        "DPMPP_2M_SDE_KARRAS",
        "DPMPP_2M_KARRAS",
        "HeunDiscrete",
        "KarrasDPM",
        "K_EULER_ANCESTRAL",
        "K_EULER",
        "PNDM"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "scheduler",
      "default": "DPMSolverMultistep",
      "x-order": 6
    },
    "lora_scale": {
      "type": "number",
      "title": "Lora Scale",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 12,
      "description": "LoRA additive scale. Only applicable on trained models."
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 5,
      "description": "Number of images to output."
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 50,
      "minimum": 1,
      "x-order": 8,
      "description": "Scale for classifier-free guidance"
    },
    "apply_watermark": {
      "type": "boolean",
      "title": "Apply Watermark",
      "default": true,
      "x-order": 11,
      "description": "Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking."
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 1,
      "description": "Input Negative Prompt"
    },
    "prompt_strength": {
      "type": "number",
      "title": "Prompt Strength",
      "default": 0.8,
      "maximum": 1,
      "minimum": 0,
      "x-order": 9,
      "description": "Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "maximum": 500,
      "minimum": 1,
      "x-order": 7,
      "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"
}