xiankgx/controlnet-tile-image-detailer

xiankgx / controlnet-tile-image-detailer

Public
158 runs

Run xiankgx/controlnet-tile-image-detailer 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		Prompt for the model
image	string		Control image for scribble controlnet
resolution	integer (enum)	2560 Options: 2048, 2560, 4096	Image resolution
resemblance	number	0.85 Max: 1	Conditioning scale for controlnet
creativity	number	0.35 Min: 0.1 Max: 1	Denoising strength. 1 means total destruction of the original image
hdr	number	0 Max: 1	HDR improvement over the original image
scheduler	string (enum)	DDIM Options: DDIM, DPMSolverMultistep, K_EULER_ANCESTRAL, K_EULER	Choose a scheduler.
steps	integer	20	Steps
guidance_scale	number	7 Min: 0.1 Max: 30	Scale for classifier-free guidance
seed	integer		Seed
negative_prompt	string	teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant	Negative prompt
guess_mode	boolean	False	In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
tile_size	integer (enum)	512 Options: 128, 256, 374, 512, 768, 1024, 1280	Size of partitions of the image. A 1/4 of the final resolution is recommended for optimal.
lora_sharpness_strength	number	4.5 Min: -3 Max: 10	Strength of the image's sharpness. For it to be noticeable, it is recommended to use values between 2 and 5.
lora_details_strength	number	1.25 Min: -3 Max: 3	Strength of the image's details

{
  "type": "object",
  "title": "Input",
  "properties": {
    "hdr": {
      "type": "number",
      "title": "Hdr",
      "default": 0,
      "maximum": 1,
      "minimum": 0,
      "x-order": 5,
      "description": "HDR improvement over the original image"
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 9,
      "description": "Seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 1,
      "description": "Control image for scribble controlnet"
    },
    "steps": {
      "type": "integer",
      "title": "Steps",
      "default": 20,
      "x-order": 7,
      "description": "Steps"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Prompt for the model"
    },
    "scheduler": {
      "enum": [
        "DDIM",
        "DPMSolverMultistep",
        "K_EULER_ANCESTRAL",
        "K_EULER"
      ],
      "type": "string",
      "title": "scheduler",
      "description": "Choose a scheduler.",
      "default": "DDIM",
      "x-order": 6
    },
    "tile_size": {
      "enum": [
        128,
        256,
        374,
        512,
        768,
        1024,
        1280
      ],
      "type": "integer",
      "title": "tile_size",
      "description": "Size of partitions of the image. A 1/4 of the final resolution is recommended for optimal.",
      "default": 512,
      "x-order": 12
    },
    "creativity": {
      "type": "number",
      "title": "Creativity",
      "default": 0.35,
      "maximum": 1,
      "minimum": 0.1,
      "x-order": 4,
      "description": "Denoising strength. 1 means total destruction of the original image"
    },
    "guess_mode": {
      "type": "boolean",
      "title": "Guess Mode",
      "default": false,
      "x-order": 11,
      "description": "In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended."
    },
    "resolution": {
      "enum": [
        2048,
        2560,
        4096
      ],
      "type": "integer",
      "title": "resolution",
      "description": "Image resolution",
      "default": 2560,
      "x-order": 2
    },
    "resemblance": {
      "type": "number",
      "title": "Resemblance",
      "default": 0.85,
      "maximum": 1,
      "minimum": 0,
      "x-order": 3,
      "description": "Conditioning scale for controlnet"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7,
      "maximum": 30,
      "minimum": 0.1,
      "x-order": 8,
      "description": "Scale for classifier-free guidance"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
      "x-order": 10,
      "description": "Negative prompt"
    },
    "lora_details_strength": {
      "type": "number",
      "title": "Lora Details Strength",
      "default": 1.25,
      "maximum": 3,
      "minimum": -3,
      "x-order": 14,
      "description": "Strength of the image's details"
    },
    "lora_sharpness_strength": {
      "type": "number",
      "title": "Lora Sharpness Strength",
      "default": 4.5,
      "maximum": 10,
      "minimum": -3,
      "x-order": 13,
      "description": "Strength of the image's sharpness. For it to be noticeable, it is recommended to use values between 2 and 5."
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}