jyoung105/hyper-sd3 | Run with an API on Replicate

Input

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

npx create-replicate --model=jyoung105/hyper-sd3

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";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run jyoung105/hyper-sd3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/hyper-sd3:3cb3dc5ee0ed083376a9052e3548faa13852f4fabf10d795f37f2e1cac67fd55",
  {
    input: {
      steps: 16,
      width: 1024,
      height: 1024,
      use_tiny: true,
      clip_skip: 0,
      num_images: 1,
      guidance_scale: 7
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 jyoung105/hyper-sd3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/hyper-sd3:3cb3dc5ee0ed083376a9052e3548faa13852f4fabf10d795f37f2e1cac67fd55",
    input={
        "steps": 16,
        "width": 1024,
        "height": 1024,
        "use_tiny": True,
        "clip_skip": 0,
        "num_images": 1,
        "guidance_scale": 7
    }
)
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 jyoung105/hyper-sd3 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": "jyoung105/hyper-sd3:3cb3dc5ee0ed083376a9052e3548faa13852f4fabf10d795f37f2e1cac67fd55",
    "input": {
      "steps": 16,
      "width": 1024,
      "height": 1024,
      "use_tiny": true,
      "clip_skip": 0,
      "num_images": 1,
      "guidance_scale": 7
    }
  }' \
  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/jyoung105/hyper-sd3@sha256:3cb3dc5ee0ed083376a9052e3548faa13852f4fabf10d795f37f2e1cac67fd55 \
  -i 'steps=16' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i 'use_tiny=true' \
  -i 'clip_skip=0' \
  -i 'num_images=1' \
  -i 'guidance_scale=7'

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/jyoung105/hyper-sd3@sha256:3cb3dc5ee0ed083376a9052e3548faa13852f4fabf10d795f37f2e1cac67fd55
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "steps": 16,
      "width": 1024,
      "height": 1024,
      "use_tiny": true,
      "clip_skip": 0,
      "num_images": 1,
      "guidance_scale": 7
    }
  }' \
  http://localhost:5000/predictions

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