konieshadow/fooocus-api:c2253ee9 – Run with an API on Replicate

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konieshadow /fooocus-api:c2253ee9

Playground API

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

Negtive 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, seperated 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

sharpness

number

(minimum: 0, maximum: 30)

Default: 2

guidance_scale

number

(minimum: 1, maximum: 30)

Default: 4

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

outpaint_selections

string

Shift + Return to add a new line

Outpaint expansion selections, literal 'Left', 'Right', 'Top', 'Bottom' seperated 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"

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

npx create-replicate --model=konieshadow/fooocus-api

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 konieshadow/fooocus-api using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "konieshadow/fooocus-api:c2253ee93d6e6619b4aa576e60ee613e8f9ea09d802c3680b34fe6ec8b60489a",
  {
    input: {
      prompt: "",
      cn_type1: "ImagePrompt",
      cn_type2: "ImagePrompt",
      cn_type3: "ImagePrompt",
      cn_type4: "ImagePrompt",
      sharpness: 2,
      image_seed: -1,
      uov_method: "Disabled",
      image_number: 1,
      guidance_scale: 4,
      refiner_switch: 0.5,
      negative_prompt: "",
      style_selections: "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
      uov_upscale_value: 0,
      outpaint_selections: "",
      outpaint_distance_top: 0,
      performance_selection: "Speed",
      outpaint_distance_left: 0,
      aspect_ratios_selection: "1152*896",
      outpaint_distance_right: 0,
      outpaint_distance_bottom: 0,
      inpaint_additional_prompt: ""
    }
  }
);
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 konieshadow/fooocus-api using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "konieshadow/fooocus-api:c2253ee93d6e6619b4aa576e60ee613e8f9ea09d802c3680b34fe6ec8b60489a",
    input={
        "prompt": "",
        "cn_type1": "ImagePrompt",
        "cn_type2": "ImagePrompt",
        "cn_type3": "ImagePrompt",
        "cn_type4": "ImagePrompt",
        "sharpness": 2,
        "image_seed": -1,
        "uov_method": "Disabled",
        "image_number": 1,
        "guidance_scale": 4,
        "refiner_switch": 0.5,
        "negative_prompt": "",
        "style_selections": "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
        "uov_upscale_value": 0,
        "outpaint_selections": "",
        "outpaint_distance_top": 0,
        "performance_selection": "Speed",
        "outpaint_distance_left": 0,
        "aspect_ratios_selection": "1152*896",
        "outpaint_distance_right": 0,
        "outpaint_distance_bottom": 0,
        "inpaint_additional_prompt": ""
    }
)
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 konieshadow/fooocus-api 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": "c2253ee93d6e6619b4aa576e60ee613e8f9ea09d802c3680b34fe6ec8b60489a",
    "input": {
      "prompt": "",
      "cn_type1": "ImagePrompt",
      "cn_type2": "ImagePrompt",
      "cn_type3": "ImagePrompt",
      "cn_type4": "ImagePrompt",
      "sharpness": 2,
      "image_seed": -1,
      "uov_method": "Disabled",
      "image_number": 1,
      "guidance_scale": 4,
      "refiner_switch": 0.5,
      "negative_prompt": "",
      "style_selections": "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
      "uov_upscale_value": 0,
      "outpaint_selections": "",
      "outpaint_distance_top": 0,
      "performance_selection": "Speed",
      "outpaint_distance_left": 0,
      "aspect_ratios_selection": "1152*896",
      "outpaint_distance_right": 0,
      "outpaint_distance_bottom": 0,
      "inpaint_additional_prompt": ""
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/konieshadow/fooocus-api@sha256:c2253ee93d6e6619b4aa576e60ee613e8f9ea09d802c3680b34fe6ec8b60489a \
  -i 'prompt=""' \
  -i 'cn_type1="ImagePrompt"' \
  -i 'cn_type2="ImagePrompt"' \
  -i 'cn_type3="ImagePrompt"' \
  -i 'cn_type4="ImagePrompt"' \
  -i 'sharpness=2' \
  -i 'image_seed=-1' \
  -i 'uov_method="Disabled"' \
  -i 'image_number=1' \
  -i 'guidance_scale=4' \
  -i 'refiner_switch=0.5' \
  -i 'negative_prompt=""' \
  -i 'style_selections="Fooocus V2,Fooocus Enhance,Fooocus Sharp"' \
  -i 'uov_upscale_value=0' \
  -i 'outpaint_selections=""' \
  -i 'outpaint_distance_top=0' \
  -i 'performance_selection="Speed"' \
  -i 'outpaint_distance_left=0' \
  -i 'aspect_ratios_selection="1152*896"' \
  -i 'outpaint_distance_right=0' \
  -i 'outpaint_distance_bottom=0' \
  -i 'inpaint_additional_prompt=""'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/konieshadow/fooocus-api@sha256:c2253ee93d6e6619b4aa576e60ee613e8f9ea09d802c3680b34fe6ec8b60489a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "",
      "cn_type1": "ImagePrompt",
      "cn_type2": "ImagePrompt",
      "cn_type3": "ImagePrompt",
      "cn_type4": "ImagePrompt",
      "sharpness": 2,
      "image_seed": -1,
      "uov_method": "Disabled",
      "image_number": 1,
      "guidance_scale": 4,
      "refiner_switch": 0.5,
      "negative_prompt": "",
      "style_selections": "Fooocus V2,Fooocus Enhance,Fooocus Sharp",
      "uov_upscale_value": 0,
      "outpaint_selections": "",
      "outpaint_distance_top": 0,
      "performance_selection": "Speed",
      "outpaint_distance_left": 0,
      "aspect_ratios_selection": "1152*896",
      "outpaint_distance_right": 0,
      "outpaint_distance_bottom": 0,
      "inpaint_additional_prompt": ""
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

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