jarvis-labs2024/my_sdxl_ip

jarvis-labs2024 / my_sdxl_ip

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19 runs

Run jarvis-labs2024/my_sdxl_ip 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
ip_image	string		IP adapter image
prompt	string		Text prompt for image generation
image	string		Input image to transform
base_model	string (enum)	Lykon/DreamShaper Options: Lykon/DreamShaper, stabilityai/stable-diffusion-xl-base-1.0, cagliostrolab/animagine-xl-3.1	Which Base model
mask	string		Mask image
negative_prompt	string	deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality	Negative prompt
num_inference_steps	integer	50 Min: 1 Max: 100	Number of denoising steps
guidance_scale	number	7.5 Max: 20	Scale for classifier-free guidance
strength	number	0.65 Max: 1	Strength for conditioning
ip_scale	number	0.6 Max: 1	Strength for IP adapter
seed	integer		Random seed. Leave blank to randomize the seed

{
  "type": "object",
  "title": "Input",
  "required": [
    "ip_image"
  ],
  "properties": {
    "mask": {
      "type": "string",
      "title": "Mask",
      "format": "uri",
      "x-order": 4,
      "description": "Mask image"
    },
    "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 to transform"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "",
      "x-order": 1,
      "description": "Text prompt for image generation"
    },
    "ip_image": {
      "type": "string",
      "title": "Ip Image",
      "format": "uri",
      "x-order": 0,
      "description": "IP adapter image"
    },
    "ip_scale": {
      "type": "number",
      "title": "Ip Scale",
      "default": 0.6,
      "maximum": 1,
      "minimum": 0,
      "x-order": 9,
      "description": "Strength for IP adapter"
    },
    "strength": {
      "type": "number",
      "title": "Strength",
      "default": 0.65,
      "maximum": 1,
      "minimum": 0,
      "x-order": 8,
      "description": "Strength for conditioning"
    },
    "base_model": {
      "enum": [
        "Lykon/DreamShaper",
        "stabilityai/stable-diffusion-xl-base-1.0",
        "cagliostrolab/animagine-xl-3.1"
      ],
      "type": "string",
      "title": "base_model",
      "description": "Which Base model",
      "default": "Lykon/DreamShaper",
      "x-order": 3
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20,
      "minimum": 0,
      "x-order": 7,
      "description": "Scale for classifier-free guidance"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "deformed, ugly, wrong proportion, low res, bad anatomy, worst quality, low quality",
      "x-order": 5,
      "description": "Negative prompt"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "maximum": 100,
      "minimum": 1,
      "x-order": 6,
      "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"
}