kuprel/min-dalle:dd9bb5e3 – Run with an API on Replicate

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kuprel /min-dalle:dd9bb5e3

Input

text

string

Shift + Return to add a new line

A ghostly silhouette of a Lovecraftian God peers down onto the Chicago city skyline, view from lake Michigan, dark and menacing clouds, ominous lighting, hyperrealism, high resolution, digital artA ghostly silhouette of a Lovecraftian God peers down onto the Chicago city skyline, view from lake Michigan, dark and menacing clouds, ominous lighting, hyperrealism, high resolution, digital art

For long prompts, only the first 64 tokens will be used to generate the image.

Default: "Dali painting of WALL·E"

intermediate_outputs

boolean

Whether to show intermediate outputs while running. This adds less than a second to the run time.

Default: true

grid_size

integer

(minimum: 1, maximum: 4)

Size of the image grid

Default: 4

log2_supercondition_factor

integer

(minimum: 1, maximum: 6)

Higher values result in better agreement with the text but a narrower variety of generated images

Default: 4

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:dd9bb5e3ec9c8ffe775546fc6cc39587d7e11a1c789582fd4c54e221a66158c7",
  {
    input: {
      text: "A ghostly silhouette of a Lovecraftian God peers down onto the Chicago city skyline, view from lake Michigan, dark and menacing clouds, ominous lighting, hyperrealism, high resolution, digital art",
      grid_size: 4,
      intermediate_outputs: true,
      log2_supercondition_factor: 6
    }
  }
);

// 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:dd9bb5e3ec9c8ffe775546fc6cc39587d7e11a1c789582fd4c54e221a66158c7",
    input={
        "text": "A ghostly silhouette of a Lovecraftian God peers down onto the Chicago city skyline, view from lake Michigan, dark and menacing clouds, ominous lighting, hyperrealism, high resolution, digital art",
        "grid_size": 4,
        "intermediate_outputs": True,
        "log2_supercondition_factor": 6
    }
)

# 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:dd9bb5e3ec9c8ffe775546fc6cc39587d7e11a1c789582fd4c54e221a66158c7",
    "input": {
      "text": "A ghostly silhouette of a Lovecraftian God peers down onto the Chicago city skyline, view from lake Michigan, dark and menacing clouds, ominous lighting, hyperrealism, high resolution, digital art",
      "grid_size": 4,
      "intermediate_outputs": true,
      "log2_supercondition_factor": 6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-07-07T09:15:03.520878Z",
  "created_at": "2022-07-07T09:14:43.459474Z",
  "data_removed": false,
  "error": null,
  "id": "gbm2sxbq2zaprk3actdaf5kskq",
  "input": {
    "text": "A ghostly silhouette of a Lovecraftian God peers down onto the Chicago city skyline, view from lake Michigan, dark and menacing clouds, ominous lighting, hyperrealism, high resolution, digital art",
    "grid_size": "4",
    "intermediate_outputs": true,
    "log2_supercondition_factor": "6"
  },
  "logs": "tokenizing text\n['Ġa']\n['Ġghost', 'ly']\n['Ġsilhouette']\n['Ġof']\n['Ġa']\n['Ġlovecraft', 'ian']\n['Ġgod']\n['Ġpeers']\n['Ġdown']\n['Ġonto']\n['Ġthe']\n['Ġchicago']\n['Ġcity']\n['Ġskyline', ',']\n['Ġview']\n['Ġfrom']\n['Ġlake']\n['Ġmichigan', ',']\n['Ġdark']\n['Ġand']\n['Ġmen', 'acing']\n['Ġclouds', ',']\n['Ġom', 'inous']\n['Ġlighting', ',']\n['Ġhyper', 'real', 'ism', ',']\n['Ġhigh']\n['Ġresolution', ',']\n['Ġdigital']\n['Ġart']\ntext tokens [0, 58, 4896, 304, 5983, 111, 58, 33532, 217, 1646, 46264, 360, 20835, 99, 2377, 645, 9542, 11, 1328, 314, 1586, 4594, 11, 1892, 128, 554, 13231, 10201, 11, 2197, 32687, 4352, 11, 6139, 4646, 822, 11, 524, 7790, 11, 1189, 241, 2]\nencoding text tokens\nsampling row 1 of 16\nsampling row 2 of 16\ndetokenizing image\nsampling row 3 of 16\nsampling row 4 of 16\ndetokenizing image\nsampling row 5 of 16\nsampling row 6 of 16\ndetokenizing image\nsampling row 7 of 16\nsampling row 8 of 16\ndetokenizing image\nsampling row 9 of 16\nsampling row 10 of 16\ndetokenizing image\nsampling row 11 of 16\nsampling row 12 of 16\ndetokenizing image\nsampling row 13 of 16\nsampling row 14 of 16\ndetokenizing image\nsampling row 15 of 16\nsampling row 16 of 16\ndetokenizing image",
  "metrics": {
    "predict_time": 15.007779,
    "total_time": 20.061404
  },
  "output": [
    "https://replicate.delivery/mgxm/fee316d3-281c-46f6-8c9c-6970aae35929/min-dalle-iter-1.jpg",
    "https://replicate.delivery/mgxm/d7b2333e-5270-4fdc-98b9-b626f9144c5d/min-dalle-iter-2.jpg",
    "https://replicate.delivery/mgxm/673a6735-cf65-41cc-80bf-6b24fd606e3a/min-dalle-iter-3.jpg",
    "https://replicate.delivery/mgxm/95594e9a-c4c7-4c5a-8e46-c9866b61c91f/min-dalle-iter-4.jpg",
    "https://replicate.delivery/mgxm/c82e93fd-7002-49b0-a35d-bef9204a7446/min-dalle-iter-5.jpg",
    "https://replicate.delivery/mgxm/9f42fe89-6df2-4bfe-a914-7cf26bb888d8/min-dalle-iter-6.jpg",
    "https://replicate.delivery/mgxm/e76a82ad-8f3a-4eb1-abd8-0b472948f8cd/min-dalle-iter-7.jpg",
    "https://replicate.delivery/mgxm/d59ea561-ece4-4930-b82a-f63f2384383f/min-dalle-iter-8.jpg"
  ],
  "started_at": "2022-07-07T09:14:48.513099Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/gbm2sxbq2zaprk3actdaf5kskq",
    "cancel": "https://api.replicate.com/v1/predictions/gbm2sxbq2zaprk3actdaf5kskq/cancel"
  },
  "version": "dd9bb5e3ec9c8ffe775546fc6cc39587d7e11a1c789582fd4c54e221a66158c7"
}

Generated in

15.0 seconds

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