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zylim0702 /bokeh_prediction:1d2a4698
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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run zylim0702/bokeh_prediction using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zylim0702/bokeh_prediction:1d2a4698106b7a7091b43467aeb1219f3ce329181c9daef45368ec37953fb245",
{
input: {
K: 30,
focus: 0.541,
image: "https://replicate.delivery/pbxt/KIwXxei39bry8699fIcNcsjvIT8oYlgLLcg0vZkERgvA0sdD/photo-composition-e1597393995467-797x1024.jpg",
x_coord_focus: 0,
y_coord_focus: 0
}
}
);
// 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 zylim0702/bokeh_prediction using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zylim0702/bokeh_prediction:1d2a4698106b7a7091b43467aeb1219f3ce329181c9daef45368ec37953fb245",
input={
"K": 30,
"focus": 0.541,
"image": "https://replicate.delivery/pbxt/KIwXxei39bry8699fIcNcsjvIT8oYlgLLcg0vZkERgvA0sdD/photo-composition-e1597393995467-797x1024.jpg",
"x_coord_focus": 0,
"y_coord_focus": 0
}
)
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 zylim0702/bokeh_prediction 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": "zylim0702/bokeh_prediction:1d2a4698106b7a7091b43467aeb1219f3ce329181c9daef45368ec37953fb245",
"input": {
"K": 30,
"focus": 0.541,
"image": "https://replicate.delivery/pbxt/KIwXxei39bry8699fIcNcsjvIT8oYlgLLcg0vZkERgvA0sdD/photo-composition-e1597393995467-797x1024.jpg",
"x_coord_focus": 0,
"y_coord_focus": 0
}
}' \
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": "2024-01-28T11:06:04.968679Z",
"created_at": "2024-01-28T11:05:28.551180Z",
"data_removed": false,
"error": null,
"id": "gglvtidbvgi3d2zb2geuj6reia",
"input": {
"K": 30,
"focus": 0.541,
"image": "https://replicate.delivery/pbxt/KIwXxei39bry8699fIcNcsjvIT8oYlgLLcg0vZkERgvA0sdD/photo-composition-e1597393995467-797x1024.jpg",
"x_coord_focus": 0,
"y_coord_focus": 0
},
"logs": "/root/.pyenv/versions/3.8.18/lib/python3.8/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3483.)\nreturn _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\ntmp/bokeh_neural.png",
"metrics": {
"predict_time": 16.675782,
"total_time": 36.417499
},
"output": "https://replicate.delivery/pbxt/tb6Leh4OUcQmH6rK6KffHy16bXXwR6GoPTQyaaWoN04248hkA/bokeh_neural.png",
"started_at": "2024-01-28T11:05:48.292897Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/gglvtidbvgi3d2zb2geuj6reia",
"cancel": "https://api.replicate.com/v1/predictions/gglvtidbvgi3d2zb2geuj6reia/cancel"
},
"version": "1d2a4698106b7a7091b43467aeb1219f3ce329181c9daef45368ec37953fb245"
}
/root/.pyenv/versions/3.8.18/lib/python3.8/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3483.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
tmp/bokeh_neural.png