Prediction

Model

kuprel/min-dalle:888c72d6

drkg55flvjet3ooohc524kvfg4

Status

Succeeded

Source

Web

Hardware

–

Total duration

16.4s

Created

over 3 years ago by kuprel

Webhook

–

Input

text: Moai statue giving a TED talk
progressive_outputs: true
grid_size: 5
temperature: 1
top_k: 128
supercondition_factor: 16

{
  "grid_size": "5",
  "progressive_outputs": true,
  "supercondition_factor": "16",
  "temperature": "1",
  "text": "Moai statue giving a TED talk",
  "top_k": "128"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_4ay**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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: {
      grid_size: "5",
      progressive_outputs: true,
      supercondition_factor: "16",
      temperature: "1",
      text: "Moai statue giving a TED talk",
      top_k: "128"
    }
  }
);

// 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=r8_4ay**********************************

This is your API token. Keep it to yourself.

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={
        "grid_size": "5",
        "progressive_outputs": True,
        "supercondition_factor": "16",
        "temperature": "1",
        "text": "Moai statue giving a TED talk",
        "top_k": "128"
    }
)

# 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=r8_4ay**********************************

This is your API token. Keep it to yourself.

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": {
      "grid_size": "5",
      "progressive_outputs": true,
      "supercondition_factor": "16",
      "temperature": "1",
      "text": "Moai statue giving a TED talk",
      "top_k": "128"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

8 / 8

{
  "id": "drkg55flvjet3ooohc524kvfg4",
  "model": "kuprel/min-dalle",
  "version": "888c72d60932bca21344efcfdaecb3f0fbeb4bf40ee9ec601cc8fda806b5bfd9",
  "input": {
    "grid_size": "5",
    "progressive_outputs": true,
    "supercondition_factor": "16",
    "temperature": "1",
    "text": "Moai statue giving a TED talk",
    "top_k": "128"
  },
  "logs": "tokenizing text\n['Ġmo', 'ai']\n['Ġstatue']\n['Ġgiving']\n['Ġa']\n['Ġted']\n['Ġtalk']\n9 text tokens [0, 924, 336, 4039, 8658, 58, 5678, 2727, 2]\nencoding text tokens\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image",
  "output": [
    "https://replicate.delivery/mgxm/7d78edb7-c91a-4ccc-9734-125953840fac/moai-statue-giving-a-ted-talk-iter-1.jpg",
    "https://replicate.delivery/mgxm/8644d51a-c196-4896-89f0-9b8f04779e2f/moai-statue-giving-a-ted-talk-iter-2.jpg",
    "https://replicate.delivery/mgxm/9e1c9724-d8b5-429a-aaad-90288d1ac4ab/moai-statue-giving-a-ted-talk-iter-3.jpg",
    "https://replicate.delivery/mgxm/3ae242e9-5d5e-4784-bfc7-79c0051d902f/moai-statue-giving-a-ted-talk-iter-4.jpg",
    "https://replicate.delivery/mgxm/e48cd201-4260-40bb-8632-21da067246b8/moai-statue-giving-a-ted-talk-iter-5.jpg",
    "https://replicate.delivery/mgxm/0eb4d55e-e427-4db4-92e1-682f07563076/moai-statue-giving-a-ted-talk-iter-6.jpg",
    "https://replicate.delivery/mgxm/04bc6fb5-c1c4-4f3f-9ee9-f140a9f62412/moai-statue-giving-a-ted-talk-iter-7.jpg",
    "https://replicate.delivery/mgxm/b5ecd545-efca-46ae-8496-786ad16be61b/moai-statue-giving-a-ted-talk.jpg"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2022-07-25T00:37:05.490728Z",
  "started_at": "2022-07-25T00:37:05.69284Z",
  "completed_at": "2022-07-25T00:37:21.840787Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/drkg55flvjet3ooohc524kvfg4/cancel",
    "get": "https://api.replicate.com/v1/predictions/drkg55flvjet3ooohc524kvfg4"
  },
  "metrics": {
    "predict_time": 16.147947,
    "total_time": 16.350059
  }
}

Generated in

16.1 seconds

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