prunaai/sdxl-cheetah – Run with an API on Replicate

Input

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

npx create-replicate --model=prunaai/sdxl-cheetah

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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807",
  {
    input: {
      seed: 0,
      prompt: "a beautiful unicorn",
      go_fast_af: false,
      num_images: 1,
      image_width: 1024,
      image_height: 1024,
      guidance_scale: 7.5,
      num_inference_steps: 30
    }
  }
);
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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807",
    input={
        "seed": 0,
        "prompt": "a beautiful unicorn",
        "go_fast_af": False,
        "num_images": 1,
        "image_width": 1024,
        "image_height": 1024,
        "guidance_scale": 7.5,
        "num_inference_steps": 30
    }
)
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 prunaai/sdxl-cheetah 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": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807",
    "input": {
      "seed": 0,
      "prompt": "a beautiful unicorn",
      "go_fast_af": false,
      "num_images": 1,
      "image_width": 1024,
      "image_height": 1024,
      "guidance_scale": 7.5,
      "num_inference_steps": 30
    }
  }' \
  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/prunaai/sdxl-cheetah@sha256:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807 \
  -i 'seed=0' \
  -i 'prompt="a beautiful unicorn"' \
  -i 'go_fast_af=false' \
  -i 'num_images=1' \
  -i 'image_width=1024' \
  -i 'image_height=1024' \
  -i 'guidance_scale=7.5' \
  -i 'num_inference_steps=30'

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/prunaai/sdxl-cheetah@sha256:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 0,
      "prompt": "a beautiful unicorn",
      "go_fast_af": false,
      "num_images": 1,
      "image_width": 1024,
      "image_height": 1024,
      "guidance_scale": 7.5,
      "num_inference_steps": 30
    }
  }' \
  http://localhost:5000/predictions

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