charlesmccarthy/zeroscope2 – Run with an API on Replicate

charlesmccarthy / zeroscope2

ZeroScope2 on a40

Cold

Public
56.4K runs
L40S

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=charlesmccarthy/zeroscope2

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/zeroscope2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "charlesmccarthy/zeroscope2:5eaf92046a5ce431ab31d5dc58c422fa2c53284ea486c80132755c3892a12fd3",
  {
    input: {
      fps: 8,
      model: "xl",
      width: 576,
      height: 320,
      prompt: "An astronaut riding a horse",
      batch_size: 1,
      num_frames: 24,
      init_weight: 0.5,
      guidance_scale: 7.5,
      remove_watermark: false,
      num_inference_steps: 50
    }
  }
);
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 charlesmccarthy/zeroscope2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "charlesmccarthy/zeroscope2:5eaf92046a5ce431ab31d5dc58c422fa2c53284ea486c80132755c3892a12fd3",
    input={
        "fps": 8,
        "model": "xl",
        "width": 576,
        "height": 320,
        "prompt": "An astronaut riding a horse",
        "batch_size": 1,
        "num_frames": 24,
        "init_weight": 0.5,
        "guidance_scale": 7.5,
        "remove_watermark": False,
        "num_inference_steps": 50
    }
)
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/zeroscope2 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": "5eaf92046a5ce431ab31d5dc58c422fa2c53284ea486c80132755c3892a12fd3",
    "input": {
      "fps": 8,
      "model": "xl",
      "width": 576,
      "height": 320,
      "prompt": "An astronaut riding a horse",
      "batch_size": 1,
      "num_frames": 24,
      "init_weight": 0.5,
      "guidance_scale": 7.5,
      "remove_watermark": false,
      "num_inference_steps": 50
    }
  }' \
  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.

Run time and cost

This model costs approximately $0.34 to run on Replicate, or 2 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 6 minutes. The predict time for this model varies significantly based on the inputs.

Readme

ZeroScope2 no changes except moving to T4