jyoung105 / sdxl-turbo

{
  "eta": 0,
  "steps": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "A man with hoodie on, illustration",
  "clip_skip": 0,
  "num_images": 1,
  "guidance_scale": 0
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "jyoung105/sdxl-turbo:521267bca99a59f8b16b812755603e23b7a5412767568d47c915920eabd9ef90",
  {
    input: {
      eta: 0,
      steps: 1,
      width: 1024,
      height: 1024,
      prompt: "A man with hoodie on, illustration",
      clip_skip: 0,
      num_images: 1,
      guidance_scale: 0
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "jyoung105/sdxl-turbo:521267bca99a59f8b16b812755603e23b7a5412767568d47c915920eabd9ef90",
    input={
        "eta": 0,
        "steps": 1,
        "width": 1024,
        "height": 1024,
        "prompt": "A man with hoodie on, illustration",
        "clip_skip": 0,
        "num_images": 1,
        "guidance_scale": 0
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run jyoung105/sdxl-turbo 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/sdxl-turbo:521267bca99a59f8b16b812755603e23b7a5412767568d47c915920eabd9ef90",
    "input": {
      "eta": 0,
      "steps": 1,
      "width": 1024,
      "height": 1024,
      "prompt": "A man with hoodie on, illustration",
      "clip_skip": 0,
      "num_images": 1,
      "guidance_scale": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

2.7 seconds

Tweak it ShareReport

Prediction

jyoung105/sdxl-turbo:f15ca635c7ff44f550c112a247966be926ee8699035a738bb8bde9bdac5aec70

Model

jyoung105/sdxl-turbo:f15ca635

cw1r02pcsnrme0ck9y2axzqb6c

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

34.4s

Created

6 months ago

Input

eta: 0
seed: 1234
steps: 1
width: 1024
height: 1024
prompt: A man with hoodie on, illustration
clip_skip: 0
num_images: 1
guidance_scale: 0
use_highres_fix

{
  "eta": 0,
  "seed": 1234,
  "steps": 1,
  "width": 1024,
  "height": 1024,
  "prompt": "A man with hoodie on, illustration",
  "clip_skip": 0,
  "num_images": 1,
  "guidance_scale": 0,
  "use_highres_fix": true
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "jyoung105/sdxl-turbo:f15ca635c7ff44f550c112a247966be926ee8699035a738bb8bde9bdac5aec70",
  {
    input: {
      eta: 0,
      seed: 1234,
      steps: 1,
      width: 1024,
      height: 1024,
      prompt: "A man with hoodie on, illustration",
      clip_skip: 0,
      num_images: 1,
      guidance_scale: 0,
      use_highres_fix: true
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "jyoung105/sdxl-turbo:f15ca635c7ff44f550c112a247966be926ee8699035a738bb8bde9bdac5aec70",
    input={
        "eta": 0,
        "seed": 1234,
        "steps": 1,
        "width": 1024,
        "height": 1024,
        "prompt": "A man with hoodie on, illustration",
        "clip_skip": 0,
        "num_images": 1,
        "guidance_scale": 0,
        "use_highres_fix": True
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run jyoung105/sdxl-turbo 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/sdxl-turbo:f15ca635c7ff44f550c112a247966be926ee8699035a738bb8bde9bdac5aec70",
    "input": {
      "eta": 0,
      "seed": 1234,
      "steps": 1,
      "width": 1024,
      "height": 1024,
      "prompt": "A man with hoodie on, illustration",
      "clip_skip": 0,
      "num_images": 1,
      "guidance_scale": 0,
      "use_highres_fix": true
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.