re-mix-1/sdxl-lightning-8step – Run with an API on Replicate

Input

prompt

string

Shift + Return to add a new line

A photo of a girl smiling during a sunset, with lightnings in the backgroundA photo of a girl smiling during a sunset, with lightnings in the background

Input prompt

Default: "A photo of a girl smiling during a sunset, with lightnings in the background"

negative_prompt

string

Shift + Return to add a new line

Negative Input prompt

Default: "worst quality, low quality"

width

integer

Width of output image. Recommended 1024 or 1280

Default: 1024

height

integer

Height of output image. Recommended 1024 or 1280

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "K_EULER"

num_inference_steps

integer

(minimum: 1, maximum: 10)

Number of denoising steps. 8 for best results

Default: 8

guidance_scale

number

(minimum: 0, maximum: 50)

Scale for classifier-free guidance. Recommended 0

Default: 0

seed

integer

Random seed. Leave blank to randomize the seed

disable_safety_checker

boolean

Disable safety checker for generated images

Default: false

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

npx create-replicate --model=re-mix-1/sdxl-lightning-8step

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 re-mix-1/sdxl-lightning-8step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "re-mix-1/sdxl-lightning-8step:a13d8c2278aa031d65892177b7b08694bfe629e1e9c0f8b0d59cbaf62bf71fa7",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A photo of a girl smiling during a sunset, with lightnings in the background",
      scheduler: "K_EULER",
      num_outputs: 1,
      guidance_scale: 0,
      negative_prompt: "worst quality, low quality",
      num_inference_steps: 8
    }
  }
);
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 re-mix-1/sdxl-lightning-8step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "re-mix-1/sdxl-lightning-8step:a13d8c2278aa031d65892177b7b08694bfe629e1e9c0f8b0d59cbaf62bf71fa7",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A photo of a girl smiling during a sunset, with lightnings in the background",
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 0,
        "negative_prompt": "worst quality, low quality",
        "num_inference_steps": 8
    }
)
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 re-mix-1/sdxl-lightning-8step 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": "a13d8c2278aa031d65892177b7b08694bfe629e1e9c0f8b0d59cbaf62bf71fa7",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A photo of a girl smiling during a sunset, with lightnings in the background",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 0,
      "negative_prompt": "worst quality, low quality",
      "num_inference_steps": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.0 seconds

Tweak itReport

Run time and cost

This model costs approximately $0.0026 to run on Replicate, or 384 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 A100 (80GB) GPU hardware. Predictions typically complete within 2 seconds.