kuprel/min-dalle:e0b50cb5 – Run with an API on Replicate

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kuprel /min-dalle:e0b50cb5

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:e0b50cb5eccee66c7a158e076abeecdee1716f6e58363c7d3c83fbcff21fa0d0",
  {
    input: {
      text: "A 5-star jungle themed waterpark, 4k photograph, cinematic",
      top_k: 16384,
      grid_size: 5,
      save_as_png: false,
      temperature: "4",
      progressive_outputs: true,
      supercondition_factor: 64
    }
  }
);

// 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:e0b50cb5eccee66c7a158e076abeecdee1716f6e58363c7d3c83fbcff21fa0d0",
    input={
        "text": "A 5-star jungle themed waterpark, 4k photograph, cinematic",
        "top_k": 16384,
        "grid_size": 5,
        "save_as_png": False,
        "temperature": "4",
        "progressive_outputs": True,
        "supercondition_factor": 64
    }
)

# 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:e0b50cb5eccee66c7a158e076abeecdee1716f6e58363c7d3c83fbcff21fa0d0",
    "input": {
      "text": "A 5-star jungle themed waterpark, 4k photograph, cinematic",
      "top_k": 16384,
      "grid_size": 5,
      "save_as_png": false,
      "temperature": "4",
      "progressive_outputs": true,
      "supercondition_factor": 64
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-07-17T11:28:16.227456Z",
  "created_at": "2022-07-17T11:28:00.035435Z",
  "data_removed": false,
  "error": null,
  "id": "f3ibrtkcovdafk3unwngwinxem",
  "input": {
    "text": "A 5-star jungle themed waterpark, 4k photograph, cinematic",
    "top_k": "16384",
    "grid_size": "5",
    "temperature": "4",
    "progressive_outputs": true,
    "supercondition_factor": "64"
  },
  "logs": "tokenizing text\n['Ġa']\n['Ġ5', '-', 'star']\n['Ġjungle']\n['Ġthemed']\n['Ġwaterpark', ',']\n['Ġ4', 'k']\n['Ġphotograph', ',']\n['Ġcinematic']\n15 text tokens [0, 58, 264, 3, 4046, 6941, 9928, 40859, 11, 252, 38, 701, 11, 19936, 2]\nencoding text tokens\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image",
  "metrics": {
    "predict_time": 16.050578,
    "total_time": 16.192021
  },
  "output": [
    "https://replicate.delivery/mgxm/ddf1a523-3b2e-443f-ade9-900c9b73170e/min-dalle-iter-1.jpg",
    "https://replicate.delivery/mgxm/9a5fd677-2556-4985-b6ee-d784ce7fb09c/min-dalle-iter-2.jpg",
    "https://replicate.delivery/mgxm/c68dccd2-7cc5-413c-b87d-8477f9b20264/min-dalle-iter-3.jpg",
    "https://replicate.delivery/mgxm/e85bed5b-e60c-4e8f-85e7-92ea78eb0afb/min-dalle-iter-4.jpg",
    "https://replicate.delivery/mgxm/7bfd9410-0deb-40df-a87a-5d59d9de57ef/min-dalle-iter-5.jpg",
    "https://replicate.delivery/mgxm/657f5332-1b4f-4d71-a2fb-4ddee4ffa5f3/min-dalle-iter-6.jpg",
    "https://replicate.delivery/mgxm/4a775a8d-fbdf-4890-99fd-4b0d0912b46f/min-dalle-iter-7.jpg",
    "https://replicate.delivery/mgxm/36418b99-8802-4a65-81f4-196edf132847/min-dalle-iter-8.jpg"
  ],
  "started_at": "2022-07-17T11:28:00.176878Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/f3ibrtkcovdafk3unwngwinxem",
    "cancel": "https://api.replicate.com/v1/predictions/f3ibrtkcovdafk3unwngwinxem/cancel"
  },
  "version": "e0b50cb5eccee66c7a158e076abeecdee1716f6e58363c7d3c83fbcff21fa0d0"
}

Generated in

16.1 seconds

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