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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 qr2ai/ar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"qr2ai/ar:117b3574c96ff4e8573c10f16d2f6127078e138ae652ea349a5d66ae79fc5888",
{
input: {
seed: 0,
blend_mode: "normal",
final_color: "white",
design_color: "black",
image_size_1: "1024x1024",
image_size_2: "1024x1024",
padding_option: 90,
condition_scale: 0.5,
name_position_1: "center",
name_position_2: "center",
negative_prompt: "low quality, bad quality, sketches, nsfw",
num_inference_steps: 50
}
}
);
// 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 qr2ai/ar using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"qr2ai/ar:117b3574c96ff4e8573c10f16d2f6127078e138ae652ea349a5d66ae79fc5888",
input={
"seed": 0,
"blend_mode": "normal",
"final_color": "white",
"design_color": "black",
"image_size_1": "1024x1024",
"image_size_2": "1024x1024",
"padding_option": 90,
"condition_scale": 0.5,
"name_position_1": "center",
"name_position_2": "center",
"negative_prompt": "low quality, bad quality, sketches, nsfw",
"num_inference_steps": 50
}
)
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 qr2ai/ar 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": "qr2ai/ar:117b3574c96ff4e8573c10f16d2f6127078e138ae652ea349a5d66ae79fc5888",
"input": {
"seed": 0,
"blend_mode": "normal",
"final_color": "white",
"design_color": "black",
"image_size_1": "1024x1024",
"image_size_2": "1024x1024",
"padding_option": 90,
"condition_scale": 0.5,
"name_position_1": "center",
"name_position_2": "center",
"negative_prompt": "low quality, bad quality, sketches, nsfw",
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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Output
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