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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: "space and time fractured",
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": "space and time fractured",
"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": "space and time fractured",
"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": "2022-07-04T15:56:14.057399Z",
"created_at": "2022-07-04T15:55:52.535801Z",
"data_removed": false,
"error": null,
"id": "gtys4wjfvven3jqlm65a2sjoba",
"input": {
"seed": -1,
"text": "space and time fractured",
"grid_size": "4"
},
"logs": "tokenizing text\n['Ġspace']\n['Ġand']\n['Ġtime']\n['Ġfract', 'ured']\ntext tokens [0, 1912, 128, 1010, 9619, 4076, 2]\nencoding text tokens\nsampling image tokens\ndetokenizing image",
"metrics": {
"predict_time": 15.004164,
"total_time": 21.521598
},
"output": "https://replicate.delivery/mgxm/3cb7b507-7e8b-4a2a-aeca-84988b4c1e91/output.jpg",
"started_at": "2022-07-04T15:55:59.053235Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/gtys4wjfvven3jqlm65a2sjoba",
"cancel": "https://api.replicate.com/v1/predictions/gtys4wjfvven3jqlm65a2sjoba/cancel"
},
"version": "2cbfe7a26259c267c9485366b8d3fb98b243cf20eadfd207bd6b760d63859507"
}
tokenizing text
['Ġspace']
['Ġand']
['Ġtime']
['Ġfract', 'ured']
text tokens [0, 1912, 128, 1010, 9619, 4076, 2]
encoding text tokens
sampling image tokens
detokenizing image