kuprel/min-dalle:888c72d6 – Run with an API on Replicate

Version

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kuprel /min-dalle:888c72d6

Playground API

Input

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

npx create-replicate --model=kuprel/min-dalle

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

const output = await replicate.run(
  "kuprel/min-dalle:888c72d60932bca21344efcfdaecb3f0fbeb4bf40ee9ec601cc8fda806b5bfd9",
  {
    input: {
      text: "Dali painting of WALL·E",
      top_k: 64,
      seamless: false,
      grid_size: 5,
      save_as_png: false,
      temperature: 4,
      progressive_outputs: true,
      supercondition_factor: 16
    }
  }
);

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

output = replicate.run(
    "kuprel/min-dalle:888c72d60932bca21344efcfdaecb3f0fbeb4bf40ee9ec601cc8fda806b5bfd9",
    input={
        "text": "Dali painting of WALL·E",
        "top_k": 64,
        "seamless": False,
        "grid_size": 5,
        "save_as_png": False,
        "temperature": 4,
        "progressive_outputs": True,
        "supercondition_factor": 16
    }
)

# The kuprel/min-dalle 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/kuprel/min-dalle/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 kuprel/min-dalle 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": "kuprel/min-dalle:888c72d60932bca21344efcfdaecb3f0fbeb4bf40ee9ec601cc8fda806b5bfd9",
    "input": {
      "text": "Dali painting of WALL·E",
      "top_k": 64,
      "seamless": false,
      "grid_size": 5,
      "save_as_png": false,
      "temperature": 4,
      "progressive_outputs": true,
      "supercondition_factor": 16
    }
  }' \
  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.