jack000/glid-3-xl:db9e4914 – Run with an API on Replicate

Version

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jack000 /glid-3-xl:db9e4914

Playground API

Input

prompt

string

Shift + Return to add a new line

Your text prompt.

Default: ""

negative

string

Shift + Return to add a new line

(optional) Negate the model's prediction for this text from the model's prediction for the target text.

Default: ""

init_image

file

(optional) Initial image to use for the model's prediction.

init_skip_fraction

number

(minimum: 0, maximum: 1)

Fraction of sampling steps to skip when using an init image.

Default: 0

batch_size

integer

Batch size.

Default: 4

width

integer

Target width

Default: 256

height

integer

Target height

Default: 256

seed

integer

(minimum: -1, maximum: 4294967295)

Seed for random number generator.

Default: -1

guidance_scale

number

(minimum: -20, maximum: 100)

Classifier-free guidance scale. Higher values will result in more guidance toward caption, with diminishing returns. Try values between 1.0 and 40.0.

Default: 5

steps

integer

(minimum: 15, maximum: 250)

Number of diffusion steps to run.

Default: 50

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

npx create-replicate --model=jack000/glid-3-xl

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 jack000/glid-3-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jack000/glid-3-xl:db9e4914dd71562e53b6d31ebd1c796f611b9b680343f663d132cc4969e3ced1",
  {
    input: {
      seed: -1,
      steps: 50,
      width: 256,
      height: 256,
      prompt: "",
      negative: "",
      batch_size: 4,
      guidance_scale: 5,
      init_skip_fraction: 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

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 jack000/glid-3-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jack000/glid-3-xl:db9e4914dd71562e53b6d31ebd1c796f611b9b680343f663d132cc4969e3ced1",
    input={
        "seed": -1,
        "steps": 50,
        "width": 256,
        "height": 256,
        "prompt": "",
        "negative": "",
        "batch_size": 4,
        "guidance_scale": 5,
        "init_skip_fraction": 0
    }
)

# The jack000/glid-3-xl model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/jack000/glid-3-xl/api#output-schema
    print(item)

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 jack000/glid-3-xl 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": "jack000/glid-3-xl:db9e4914dd71562e53b6d31ebd1c796f611b9b680343f663d132cc4969e3ced1",
    "input": {
      "seed": -1,
      "steps": 50,
      "width": 256,
      "height": 256,
      "prompt": "",
      "negative": "",
      "batch_size": 4,
      "guidance_scale": 5,
      "init_skip_fraction": 0
    }
  }' \
  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.