adriiita/photoshoot:91185a74 – Run with an API on Replicate

Version

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adriiita /photoshoot:91185a74

Playground API

Input

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

npx create-replicate --model=adriiita/photoshoot

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

const output = await replicate.run(
  "adriiita/photoshoot:91185a74aadd618ef2fc49fb7a7fdb8a00c46c2d9855dd97015207db433f9ea6",
  {
    input: {
      prompt: "",
      output_format: "webp",
      output_quality: 95,
      negative_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 adriiita/photoshoot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adriiita/photoshoot:91185a74aadd618ef2fc49fb7a7fdb8a00c46c2d9855dd97015207db433f9ea6",
    input={
        "prompt": "",
        "output_format": "webp",
        "output_quality": 95,
        "negative_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 adriiita/photoshoot 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": "91185a74aadd618ef2fc49fb7a7fdb8a00c46c2d9855dd97015207db433f9ea6",
    "input": {
      "prompt": "",
      "output_format": "webp",
      "output_quality": 95,
      "negative_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/adriiita/photoshoot@sha256:91185a74aadd618ef2fc49fb7a7fdb8a00c46c2d9855dd97015207db433f9ea6 \
  -i 'prompt=""' \
  -i 'output_format="webp"' \
  -i 'output_quality=95' \
  -i 'negative_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/adriiita/photoshoot@sha256:91185a74aadd618ef2fc49fb7a7fdb8a00c46c2d9855dd97015207db433f9ea6
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "",
      "output_format": "webp",
      "output_quality": 95,
      "negative_prompt": ""
    }
  }' \
  http://localhost:5000/predictions

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

Output

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