lucataco/ip-adapter-faceid:fb81ef96 – Run with an API on Replicate

Version

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lucataco /ip-adapter-faceid:fb81ef96

Playground API

Input

face_image

*file

Input face image

prompt

string

Shift + Return to add a new line

photo of a woman in red dress in a gardenphoto of a woman in red dress in a garden

Input prompt

Default: "photo of a woman in red dress in a garden"

negative_prompt

string

Shift + Return to add a new line

monochrome, lowres, bad anatomy, worst quality, low quality, blurrymonochrome, lowres, bad anatomy, worst quality, low quality, blurry

Input Negative Prompt

Default: "monochrome, lowres, bad anatomy, worst quality, low quality, blurry"

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 200)

Number of denoising steps

Default: 30

seed

integer

Random seed. Leave blank to randomize the seed

agree_to_research_only

boolean

You must agree to use this model only for research. It is not for commercial use.

Default: false

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

npx create-replicate --model=lucataco/ip-adapter-faceid

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 lucataco/ip-adapter-faceid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ip-adapter-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "photo of a woman in red dress in a garden",
      num_outputs: 1,
      negative_prompt: "monochrome, lowres, bad anatomy, worst quality, low quality, blurry",
      num_inference_steps: 30,
      agree_to_research_only: 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 lucataco/ip-adapter-faceid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ip-adapter-faceid:fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "photo of a woman in red dress in a garden",
        "num_outputs": 1,
        "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry",
        "num_inference_steps": 30,
        "agree_to_research_only": 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 lucataco/ip-adapter-faceid 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": "fb81ef963e74776af72e6f380949013533d46dd5c6228a9e586c57db6303d7cd",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "photo of a woman in red dress in a garden",
      "num_outputs": 1,
      "negative_prompt": "monochrome, lowres, bad anatomy, worst quality, low quality, blurry",
      "num_inference_steps": 30,
      "agree_to_research_only": 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.