editr-apps/faceshots:a10a8524 – Run with an API on Replicate

Version

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editr-apps /faceshots:a10a8524

Playground API

Input

image

*file

Input image

prompt

string

Shift + Return to add a new line

Transform this casual photo of a person img into a professional-looking portrait suitable for LinkedIn. The individual should be dressed in business attire, with a confident and approachable expression. The background should be a simple, neutral color to emphasize the person. Ensure the lighting is soft and flattering, highlighting the person's features while maintaining a polished and formal appearance.Transform this casual photo of a person img into a professional-looking portrait suitable for LinkedIn. The individual should be dressed in business attire, with a confident and approachable expression. The background should be a simple, neutral color to emphasize the person. Ensure the lighting is soft and flattering, highlighting the person's features while maintaining a polished and formal appearance.

Input prompt

Default: "Transform this casual photo of a person img into a professional-looking portrait suitable for LinkedIn. The individual should be dressed in business attire, with a confident and approachable expression. The background should be a simple, neutral color to emphasize the person. Ensure the lighting is soft and flattering, highlighting the person's features while maintaining a polished and formal appearance."

negative_prompt

string

Shift + Return to add a new line

Input Negative Prompt

Default: ""

width

integer

(minimum: 512, maximum: 2048)

Width of output image

Default: 640

height

integer

(minimum: 512, maximum: 2048)

Height of output image

Default: 640

ip_adapter_scale

number

(minimum: 0, maximum: 1)

Scale for IP adapter

Default: 0.8

controlnet_conditioning_scale

number

(minimum: 0, maximum: 1)

Scale for ControlNet conditioning

Default: 0.8

num_inference_steps

integer

(minimum: 1, maximum: 30)

Number of denoising steps. With LCM-LoRA, optimum is 6-8.

Default: 6

guidance_scale

number

(minimum: 0, maximum: 10)

Scale for classifier-free guidance. With LCM-LoRA, optimum is 0-5.

Default: 0

safety_checker

boolean

Safety checker is enabled by default. Un-tick to expose unfiltered results.

Default: true

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

npx create-replicate --model=editr-apps/faceshots

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 editr-apps/faceshots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "editr-apps/faceshots:a10a852403e55a38398b9cf78133e9edb6146e55e48f591474a8bb58e2ae6dea",
  {
    input: {
      width: 640,
      height: 640,
      prompt: "Transform this casual photo of a person img into a professional-looking portrait suitable for LinkedIn. The individual should be dressed in business attire, with a confident and approachable expression. The background should be a simple, neutral color to emphasize the person. Ensure the lighting is soft and flattering, highlighting the person's features while maintaining a polished and formal appearance.",
      guidance_scale: 0,
      safety_checker: true,
      negative_prompt: "",
      ip_adapter_scale: 0.8,
      num_inference_steps: 6,
      controlnet_conditioning_scale: 0.8
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 editr-apps/faceshots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "editr-apps/faceshots:a10a852403e55a38398b9cf78133e9edb6146e55e48f591474a8bb58e2ae6dea",
    input={
        "width": 640,
        "height": 640,
        "prompt": "Transform this casual photo of a person img into a professional-looking portrait suitable for LinkedIn. The individual should be dressed in business attire, with a confident and approachable expression. The background should be a simple, neutral color to emphasize the person. Ensure the lighting is soft and flattering, highlighting the person's features while maintaining a polished and formal appearance.",
        "guidance_scale": 0,
        "safety_checker": True,
        "negative_prompt": "",
        "ip_adapter_scale": 0.8,
        "num_inference_steps": 6,
        "controlnet_conditioning_scale": 0.8
    }
)
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 editr-apps/faceshots 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": "editr-apps/faceshots:a10a852403e55a38398b9cf78133e9edb6146e55e48f591474a8bb58e2ae6dea",
    "input": {
      "width": 640,
      "height": 640,
      "prompt": "Transform this casual photo of a person img into a professional-looking portrait suitable for LinkedIn. The individual should be dressed in business attire, with a confident and approachable expression. The background should be a simple, neutral color to emphasize the person. Ensure the lighting is soft and flattering, highlighting the person\'s features while maintaining a polished and formal appearance.",
      "guidance_scale": 0,
      "safety_checker": true,
      "negative_prompt": "",
      "ip_adapter_scale": 0.8,
      "num_inference_steps": 6,
      "controlnet_conditioning_scale": 0.8
    }
  }' \
  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.