charlesmccarthy/hotshot-a40:d3f8df5a – Run with an API on Replicate

Version

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charlesmccarthy /hotshot-a40:d3f8df5a

Playground API

Input

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

npx create-replicate --model=charlesmccarthy/hotshot-a40

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 charlesmccarthy/hotshot-a40 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "charlesmccarthy/hotshot-a40:d3f8df5a0a70bbf80db76b781c559f80cdf5eed2b26b116aac590e20f9022655",
  {
    input: {
      steps: 30,
      width: 672,
      height: 384,
      prompt: "a camel smoking a cigarette, hd, high quality",
      scheduler: "EulerAncestralDiscreteScheduler",
      negative_prompt: "blurry"
    }
  }
);

// 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 charlesmccarthy/hotshot-a40 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "charlesmccarthy/hotshot-a40:d3f8df5a0a70bbf80db76b781c559f80cdf5eed2b26b116aac590e20f9022655",
    input={
        "steps": 30,
        "width": 672,
        "height": 384,
        "prompt": "a camel smoking a cigarette, hd, high quality",
        "scheduler": "EulerAncestralDiscreteScheduler",
        "negative_prompt": "blurry"
    }
)
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 charlesmccarthy/hotshot-a40 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": "d3f8df5a0a70bbf80db76b781c559f80cdf5eed2b26b116aac590e20f9022655",
    "input": {
      "steps": 30,
      "width": 672,
      "height": 384,
      "prompt": "a camel smoking a cigarette, hd, high quality",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  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/charlesmccarthy/hotshot-a40@sha256:d3f8df5a0a70bbf80db76b781c559f80cdf5eed2b26b116aac590e20f9022655 \
  -i 'steps=30' \
  -i 'width=672' \
  -i 'height=384' \
  -i 'prompt="a camel smoking a cigarette, hd, high quality"' \
  -i 'scheduler="EulerAncestralDiscreteScheduler"' \
  -i 'negative_prompt="blurry"'

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/charlesmccarthy/hotshot-a40@sha256:d3f8df5a0a70bbf80db76b781c559f80cdf5eed2b26b116aac590e20f9022655
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "steps": 30,
      "width": 672,
      "height": 384,
      "prompt": "a camel smoking a cigarette, hd, high quality",
      "scheduler": "EulerAncestralDiscreteScheduler",
      "negative_prompt": "blurry"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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