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Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
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:2cbfe7a26259c267c9485366b8d3fb98b243cf20eadfd207bd6b760d63859507",
{
input: {
seed: -1,
text: "pixel art of the San Francisco skyline in the style of the Starry Night, distinct pixels, 1:1",
grid_size: 4
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
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:2cbfe7a26259c267c9485366b8d3fb98b243cf20eadfd207bd6b760d63859507",
input={
"seed": -1,
"text": "pixel art of the San Francisco skyline in the style of the Starry Night, distinct pixels, 1:1",
"grid_size": 4
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
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:2cbfe7a26259c267c9485366b8d3fb98b243cf20eadfd207bd6b760d63859507",
"input": {
"seed": -1,
"text": "pixel art of the San Francisco skyline in the style of the Starry Night, distinct pixels, 1:1",
"grid_size": 4
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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Output
{
"completed_at": "2022-07-05T09:35:40.346897Z",
"created_at": "2022-07-05T09:35:20.063231Z",
"data_removed": false,
"error": null,
"id": "mlyag4eqjjbgplhnqqr6hs646y",
"input": {
"seed": -1,
"text": "pixel art of the San Francisco skyline in the style of the Starry Night, distinct pixels, 1:1",
"grid_size": "4"
},
"logs": "tokenizing text\n['Ġpixel']\n['Ġart']\n['Ġof']\n['Ġthe']\n['Ġsan']\n['Ġfrancisco']\n['Ġskyline']\n['Ġin']\n['Ġthe']\n['Ġstyle']\n['Ġof']\n['Ġthe']\n['Ġstarry']\n['Ġnight', ',']\n['Ġdistinct']\n['Ġpixels', ',']\n['Ġ1', ':', '1']\ntext tokens [0, 6423, 241, 111, 99, 897, 4535, 9542, 91, 99, 1155, 111, 99, 21483, 1413, 11, 20784, 10984, 11, 116, 3, 15, 2]\nencoding text tokens\nsampling image tokens\ndetokenizing image",
"metrics": {
"predict_time": 14.665834,
"total_time": 20.283666
},
"output": "https://replicate.delivery/mgxm/c011e258-a77e-496c-99ce-039650eaa8b3/output.jpg",
"started_at": "2022-07-05T09:35:25.681063Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/mlyag4eqjjbgplhnqqr6hs646y",
"cancel": "https://api.replicate.com/v1/predictions/mlyag4eqjjbgplhnqqr6hs646y/cancel"
},
"version": "2cbfe7a26259c267c9485366b8d3fb98b243cf20eadfd207bd6b760d63859507"
}
tokenizing text
['Ġpixel']
['Ġart']
['Ġof']
['Ġthe']
['Ġsan']
['Ġfrancisco']
['Ġskyline']
['Ġin']
['Ġthe']
['Ġstyle']
['Ġof']
['Ġthe']
['Ġstarry']
['Ġnight', ',']
['Ġdistinct']
['Ġpixels', ',']
['Ġ1', ':', '1']
text tokens [0, 6423, 241, 111, 99, 897, 4535, 9542, 91, 99, 1155, 111, 99, 21483, 1413, 11, 20784, 10984, 11, 116, 3, 15, 2]
encoding text tokens
sampling image tokens
detokenizing image