konieshadow/fooocus-api:1602f2dd – Run with an API on Replicate

Version

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konieshadow /fooocus-api:1602f2dd

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 styles applied for image generation, seperated by comma

Default: "Fooocus V2,Default (Slightly Cinematic)"

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: 7

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:1602f2dd5f25ce87f1b0d03d4cd1a2db994c73175aabce678d88ac781b205119",
  {
    input: {
      prompt: "",
      sharpness: 2,
      image_seed: -1,
      image_number: 1,
      guidance_scale: 7,
      negative_prompt: "",
      style_selections: "Fooocus V2,Default (Slightly Cinematic)",
      performance_selection: "Speed",
      aspect_ratios_selection: "1152×896"
    }
  }
);
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:1602f2dd5f25ce87f1b0d03d4cd1a2db994c73175aabce678d88ac781b205119",
    input={
        "prompt": "",
        "sharpness": 2,
        "image_seed": -1,
        "image_number": 1,
        "guidance_scale": 7,
        "negative_prompt": "",
        "style_selections": "Fooocus V2,Default (Slightly Cinematic)",
        "performance_selection": "Speed",
        "aspect_ratios_selection": "1152×896"
    }
)
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": "1602f2dd5f25ce87f1b0d03d4cd1a2db994c73175aabce678d88ac781b205119",
    "input": {
      "prompt": "",
      "sharpness": 2,
      "image_seed": -1,
      "image_number": 1,
      "guidance_scale": 7,
      "negative_prompt": "",
      "style_selections": "Fooocus V2,Default (Slightly Cinematic)",
      "performance_selection": "Speed",
      "aspect_ratios_selection": "1152×896"
    }
  }' \
  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@sha256:1602f2dd5f25ce87f1b0d03d4cd1a2db994c73175aabce678d88ac781b205119 \
  -i 'prompt=""' \
  -i 'sharpness=2' \
  -i 'image_seed=-1' \
  -i 'image_number=1' \
  -i 'guidance_scale=7' \
  -i 'negative_prompt=""' \
  -i 'style_selections="Fooocus V2,Default (Slightly Cinematic)"' \
  -i 'performance_selection="Speed"' \
  -i 'aspect_ratios_selection="1152×896"'

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@sha256:1602f2dd5f25ce87f1b0d03d4cd1a2db994c73175aabce678d88ac781b205119
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "",
      "sharpness": 2,
      "image_seed": -1,
      "image_number": 1,
      "guidance_scale": 7,
      "negative_prompt": "",
      "style_selections": "Fooocus V2,Default (Slightly Cinematic)",
      "performance_selection": "Speed",
      "aspect_ratios_selection": "1152×896"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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