anotherjesse/lora-template

anotherjesse / lora-template

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6 runs

Run anotherjesse/lora-template 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	a photo of <1> riding a horse on mars	Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts
negative_prompt	string		Specify things to not see in the output
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
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
image	string		(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.
prompt_strength	number	0.8	(Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
scheduler	string (enum)	DPMSolverMultistep Options: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS	Choose a scheduler.
lora_urls	string		List of urls for safetensors of lora models, seperated with \| .
lora_scales	string	0.5	List of scales for safetensors of lora models, seperated with \|
seed	integer		Random seed. Leave blank to randomize the seed

{
  "type": "object",
  "title": "Input",
  "properties": {
    "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": 7,
      "description": "(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked."
    },
    "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": 2
    },
    "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": 3
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "a photo of <1> riding a horse on mars",
      "x-order": 0,
      "description": "Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts"
    },
    "lora_urls": {
      "type": "string",
      "title": "Lora Urls",
      "default": "",
      "x-order": 10,
      "description": "List of urls for safetensors of lora models, seperated with | ."
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "K_EULER",
        "DPMSolverMultistep",
        "K_EULER_ANCESTRAL",
        "PNDM",
        "KLMS"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "Choose a scheduler.",
      "default": "DPMSolverMultistep",
      "x-order": 9
    },
    "lora_scales": {
      "type": "string",
      "title": "Lora Scales",
      "default": "0.5",
      "x-order": 11,
      "description": "List of scales for safetensors of lora models, seperated with | "
    },
    "num_outputs": {
      "type": "integer",
      "title": "Num Outputs",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 4,
      "description": "Number of images to output."
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20,
      "minimum": 1,
      "x-order": 6,
      "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"
    },
    "prompt_strength": {
      "type": "number",
      "title": "Prompt Strength",
      "default": 0.8,
      "x-order": 8,
      "description": "(Img2Img) Prompt strength when providing the 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": 5,
      "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"
}