vetkastar/fooocus_test | Run with an API on Replicate

vetkastar / fooocus_test

(Updated 5 months, 4 weeks ago)

Cold

Public
52 runs
L40S

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

Prompt for image generation

Default: ""

negative_prompt

string

Shift + Return to add a new line

Negative prompt for image generation

Default: ""

style_selections

string

Shift + Return to add a new line

Fooocus V2,Fooocus Enhance,Fooocus SharpFooocus V2,Fooocus Enhance,Fooocus Sharp

Fooocus styles applied for image generation, separated by comma

Default: "Fooocus V2,Fooocus Enhance,Fooocus Sharp"

performance_selection

string

Performance selection

Default: "Speed"

aspect_ratios_selection

string

The generated image's size

Default: "1152*896"

image_number

integer

(minimum: 1, maximum: 8)

How many image to generate

Default: 1

image_seed

integer

Seed to generate image, -1 for random

Default: -1

use_default_loras

boolean

Use default LoRAs

Default: true

loras_custom_urls

string

Shift + Return to add a new line

Custom LoRAs URLs in the format 'url,weight' provide multiple seperated by ; (example 'url1,0.3;url2,0.1')

Default: ""

sharpness

number

(minimum: 0, maximum: 30)

Default: 2

guidance_scale

number

(minimum: 1, maximum: 30)

Default: 7

refiner_switch

number

(minimum: 0.1, maximum: 1)

Default: 0.5

uov_input_image

file

Input image for upscale or variation, keep None for not upscale or variation

uov_method

string

An enumeration.

Default: "Disabled"

uov_upscale_value

number

Only when Upscale (Custom)

Default: 0

inpaint_additional_prompt

string

Shift + Return to add a new line

Prompt for image generation

Default: ""

inpaint_input_image

file

Input image for inpaint or outpaint, keep None for not inpaint or outpaint. Please noticed, `uov_input_image` has bigger priority is not None.

inpaint_input_mask

file

Input mask for inpaint

inpaint_strength

number

(minimum: 0, maximum: 1)

Inpaint Denoising Strength

Default: 0.5

outpaint_selections

string

Shift + Return to add a new line

Outpaint expansion selections, literal 'Left', 'Right', 'Top', 'Bottom' separated by comma

Default: ""

outpaint_distance_left

integer

Outpaint expansion distance from Left of the image

Default: 0

outpaint_distance_top

integer

Outpaint expansion distance from Top of the image

Default: 0

outpaint_distance_right

integer

Outpaint expansion distance from Right of the image

Default: 0

outpaint_distance_bottom

integer

Outpaint expansion distance from Bottom of the image

Default: 0

cn_img1

file

Input image for image prompt. If all cn_img[n] are None, image prompt will not applied.

cn_stop1

number

(minimum: 0, maximum: 1)

Stop at for image prompt, None for default value

cn_weight1

number

(minimum: 0, maximum: 2)

Weight for image prompt, None for default value

cn_type1

string

ControlNet type for image prompt

Default: "ImagePrompt"

cn_img2

file

Input image for image prompt. If all cn_img[n] are None, image prompt will not applied.

cn_stop2

number

(minimum: 0, maximum: 1)

Stop at for image prompt, None for default value

cn_weight2

number

(minimum: 0, maximum: 2)

Weight for image prompt, None for default value

cn_type2

string

ControlNet type for image prompt

Default: "ImagePrompt"

cn_img3

file

Input image for image prompt. If all cn_img[n] are None, image prompt will not applied.

cn_stop3

number

(minimum: 0, maximum: 1)

Stop at for image prompt, None for default value

cn_weight3

number

(minimum: 0, maximum: 2)

Weight for image prompt, None for default value

cn_type3

string

ControlNet type for image prompt

Default: "ImagePrompt"

cn_img4

file

Input image for image prompt. If all cn_img[n] are None, image prompt will not applied.

cn_stop4

number

(minimum: 0, maximum: 1)

Stop at for image prompt, None for default value

cn_weight4

number

(minimum: 0, maximum: 2)

Weight for image prompt, None for default value

cn_type4

string

ControlNet type for image prompt

Default: "ImagePrompt"

adm_scaler_positive

number

(minimum: 0.1, maximum: 3)

Positive ADM Guidance Scaler. Adjusts the influence of positive prompts in the ADM (Attention-Driven Mechanism) generation process.

Default: 1.5

adm_scaler_negative

number

(minimum: 0.1, maximum: 3)

Negative ADM Guidance Scaler. Adjusts the influence of negative prompts in the ADM generation process.

Default: 0.8

adm_scaler_end

number

(minimum: 0, maximum: 1)

ADM Guidance End At Step. Determines at which stage of the generation process the ADM scaling stops being applied.

Default: 0.3

adaptive_cfg

number

(minimum: 1, maximum: 30)

Adaptive CFG (Classifier-Free Guidance). Allows dynamically adjusting the strength of guidance during the generation process.

Default: 7

sampler_name

string

Shift + Return to add a new line

Sampler. Choose a specific sampler for the diffusion process, affecting the quality and style of generated images.

Default: "dpmpp_2m_sde_gpu"

scheduler_name

string

Shift + Return to add a new line

Scheduler. Choose a specific scheduler for the diffusion process, affecting the quality and style of generated images.

Default: "karras"

overwrite_step

integer

(minimum: -1, maximum: 200)

Forced Overwrite of Sampling Step. Override the default number of sampling steps, affecting detail and generation time.

Default: -1

overwrite_switch

number

(minimum: -1, maximum: 1)

Forced Overwrite of Refiner Switch Step. Override the moment of switching between the base model and the refiner model.

Default: -1

overwrite_width

integer

(minimum: -1, maximum: 2048)

Forced Overwrite of Generating Width. Precisely set the desired width of the generated image.

Default: -1

overwrite_height

integer

(minimum: -1, maximum: 2048)

Forced Overwrite of Generating Height. Precisely set the desired height of the generated image.

Default: -1

overwrite_vary_strength

number

(minimum: -1, maximum: 1)

Forced Overwrite of Denoising Strength of "Vary". Precisely control the strength of variation when using the "Vary" function.

Default: -1

overwrite_upscale_strength

number

(minimum: -1, maximum: 1)

Forced Overwrite of Denoising Strength of "Upscale". Precise control of denoising strength when upscaling images.

Default: -1

mixing_image_prompt_and_vary_upscale

boolean

Mixing Image Prompt and Vary/Upscale. Allow mixing the image prompt with vary/upscale functions for more complex effects.

Default: false

mixing_image_prompt_and_inpaint

boolean

Mixing Image Prompt and Inpaint. Allow mixing the image prompt with inpaint functions for more complex effects.

Default: false

debugging_cn_preprocessor

boolean

Debug Preprocessors. For debugging ControlNet preprocessing.

Default: false

skipping_cn_preprocessor

boolean

Skip Preprocessors. Ability to skip ControlNet preprocessing, useful for development and testing.

Default: false

canny_low_threshold

integer

(minimum: 1, maximum: 255)

Canny Low Threshold. For fine-tuning the Canny Edge Detection algorithm used in some ControlNet modes.

Default: 64

canny_high_threshold

integer

(minimum: 1, maximum: 255)

Canny High Threshold. For fine-tuning the Canny Edge Detection algorithm used in some ControlNet modes.

Default: 128

controlnet_softness

number

(minimum: 0, maximum: 1)

Softness of ControlNet. Adjust the 'softness' of ControlNet's influence on the final image.

Default: 0.25

debugging_inpaint_preprocessor

boolean

Debug Inpaint Preprocessing. For debugging and controlling preprocessing during inpainting.

Default: false

inpaint_disable_initial_latent

boolean

Disable initial latent in inpaint. For controlling preprocessing during inpainting.

Default: false

inpaint_engine

string

Shift + Return to add a new line

Inpaint Engine. Select a specific engine for inpainting, affecting the quality and style of results.

Default: "v2.6"

inpaint_respective_field

number

(minimum: 0, maximum: 1)

Inpaint Respective Field. Control the size of the influence area during inpainting.

Default: 1

invert_mask_checkbox

boolean

Invert Mask. Invert the mask during inpainting, providing additional control over the process.

Default: false

inpaint_erode_or_dilate

integer

(minimum: -64, maximum: 64)

Mask Erode or Dilate. Erode or dilate the inpainting mask for fine-tuning the area of inpainting application.

Default: 0

Run this model in Node.js with one line of code:

npx create-replicate --model=vetkastar/fooocus_test

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run vetkastar/fooocus_test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "vetkastar/fooocus_test:cbeb52e14d9b7f10bada9e1e4811e6b728254912a9e41a5eba9f429899bf16b5",
  {
    input: {
      prompt: "",
      cn_type1: "ImagePrompt",
      cn_type2: "ImagePrompt",
      cn_type3: "ImagePrompt",
      cn_type4: "ImagePrompt",
      sharpness: 2,
      image_seed: -1,
      uov_method: "Disabled",
      adaptive_cfg: 7,
      image_number: 1,
      sampler_name: "dpmpp_2m_sde_gpu",
      adm_scaler_end: 0.3,
      guidance_scale: 7,
      inpaint_engine: "v2.6",
      overwrite_step: -1,
      refiner_switch: 0.5,
      scheduler_name: "karras",
      negative_prompt: "",
      overwrite_width: -1,
      inpaint_strength: 0.5,
      overwrite_height: -1,
      overwrite_switch: -1,
      style_selections: "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
      loras_custom_urls: "",
      uov_upscale_value: 0,
      use_default_loras: true,
      adm_scaler_negative: 0.8,
      adm_scaler_positive: 1.5,
      canny_low_threshold: 64,
      controlnet_softness: 0.25,
      outpaint_selections: "",
      canny_high_threshold: 128,
      invert_mask_checkbox: false,
      outpaint_distance_top: 0,
      performance_selection: "Speed",
      outpaint_distance_left: 0,
      aspect_ratios_selection: "1152*896",
      inpaint_erode_or_dilate: 0,
      outpaint_distance_right: 0,
      overwrite_vary_strength: -1,
      inpaint_respective_field: 1,
      outpaint_distance_bottom: 0,
      skipping_cn_preprocessor: false,
      debugging_cn_preprocessor: false,
      inpaint_additional_prompt: "",
      overwrite_upscale_strength: -1,
      debugging_inpaint_preprocessor: false,
      inpaint_disable_initial_latent: false,
      mixing_image_prompt_and_inpaint: false,
      mixing_image_prompt_and_vary_upscale: false
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run vetkastar/fooocus_test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "vetkastar/fooocus_test:cbeb52e14d9b7f10bada9e1e4811e6b728254912a9e41a5eba9f429899bf16b5",
    input={
        "prompt": "",
        "cn_type1": "ImagePrompt",
        "cn_type2": "ImagePrompt",
        "cn_type3": "ImagePrompt",
        "cn_type4": "ImagePrompt",
        "sharpness": 2,
        "image_seed": -1,
        "uov_method": "Disabled",
        "adaptive_cfg": 7,
        "image_number": 1,
        "sampler_name": "dpmpp_2m_sde_gpu",
        "adm_scaler_end": 0.3,
        "guidance_scale": 7,
        "inpaint_engine": "v2.6",
        "overwrite_step": -1,
        "refiner_switch": 0.5,
        "scheduler_name": "karras",
        "negative_prompt": "",
        "overwrite_width": -1,
        "inpaint_strength": 0.5,
        "overwrite_height": -1,
        "overwrite_switch": -1,
        "style_selections": "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
        "loras_custom_urls": "",
        "uov_upscale_value": 0,
        "use_default_loras": True,
        "adm_scaler_negative": 0.8,
        "adm_scaler_positive": 1.5,
        "canny_low_threshold": 64,
        "controlnet_softness": 0.25,
        "outpaint_selections": "",
        "canny_high_threshold": 128,
        "invert_mask_checkbox": False,
        "outpaint_distance_top": 0,
        "performance_selection": "Speed",
        "outpaint_distance_left": 0,
        "aspect_ratios_selection": "1152*896",
        "inpaint_erode_or_dilate": 0,
        "outpaint_distance_right": 0,
        "overwrite_vary_strength": -1,
        "inpaint_respective_field": 1,
        "outpaint_distance_bottom": 0,
        "skipping_cn_preprocessor": False,
        "debugging_cn_preprocessor": False,
        "inpaint_additional_prompt": "",
        "overwrite_upscale_strength": -1,
        "debugging_inpaint_preprocessor": False,
        "inpaint_disable_initial_latent": False,
        "mixing_image_prompt_and_inpaint": False,
        "mixing_image_prompt_and_vary_upscale": False
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run vetkastar/fooocus_test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "vetkastar/fooocus_test:cbeb52e14d9b7f10bada9e1e4811e6b728254912a9e41a5eba9f429899bf16b5",
    "input": {
      "prompt": "",
      "cn_type1": "ImagePrompt",
      "cn_type2": "ImagePrompt",
      "cn_type3": "ImagePrompt",
      "cn_type4": "ImagePrompt",
      "sharpness": 2,
      "image_seed": -1,
      "uov_method": "Disabled",
      "adaptive_cfg": 7,
      "image_number": 1,
      "sampler_name": "dpmpp_2m_sde_gpu",
      "adm_scaler_end": 0.3,
      "guidance_scale": 7,
      "inpaint_engine": "v2.6",
      "overwrite_step": -1,
      "refiner_switch": 0.5,
      "scheduler_name": "karras",
      "negative_prompt": "",
      "overwrite_width": -1,
      "inpaint_strength": 0.5,
      "overwrite_height": -1,
      "overwrite_switch": -1,
      "style_selections": "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
      "loras_custom_urls": "",
      "uov_upscale_value": 0,
      "use_default_loras": true,
      "adm_scaler_negative": 0.8,
      "adm_scaler_positive": 1.5,
      "canny_low_threshold": 64,
      "controlnet_softness": 0.25,
      "outpaint_selections": "",
      "canny_high_threshold": 128,
      "invert_mask_checkbox": false,
      "outpaint_distance_top": 0,
      "performance_selection": "Speed",
      "outpaint_distance_left": 0,
      "aspect_ratios_selection": "1152*896",
      "inpaint_erode_or_dilate": 0,
      "outpaint_distance_right": 0,
      "overwrite_vary_strength": -1,
      "inpaint_respective_field": 1,
      "outpaint_distance_bottom": 0,
      "skipping_cn_preprocessor": false,
      "debugging_cn_preprocessor": false,
      "inpaint_additional_prompt": "",
      "overwrite_upscale_strength": -1,
      "debugging_inpaint_preprocessor": false,
      "inpaint_disable_initial_latent": false,
      "mixing_image_prompt_and_inpaint": false,
      "mixing_image_prompt_and_vary_upscale": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.