defaulta camel | a forest
typetext
Model
ID
cmzsiyxgqrgphisvsc5gjhnzy4
Status
Succeeded
Source
Web
Hardware
–
Total duration
Created
Webhook
–
Input
- prompt
- A red car parked in a desert | Hills behind the car | Aurora in the sky
{
"prompt": "A red car parked in a desert | Hills behind the car | Aurora in the sky"
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_CiO**********************************
This is your API token. Keep it to yourself.
Import and set up the client:
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch:fd76d2f66b0faf04184408ce21f02baf921df01d074308ba149a70fa6afc93dc",
{
input: {
prompt: "A red car parked in a desert | Hills behind the car | Aurora in the sky"
}
}
);
// 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.
Install Replicate’s Python client library:
pip install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_CiO**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch:fd76d2f66b0faf04184408ce21f02baf921df01d074308ba149a70fa6afc93dc",
input={
"prompt": "A red car parked in a desert | Hills behind the car | Aurora in the sky"
}
)
# To access the file URL:
print(output.url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output.read())
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=r8_CiO**********************************
This is your API token. Keep it to yourself.
Run energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch 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": "energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch:fd76d2f66b0faf04184408ce21f02baf921df01d074308ba149a70fa6afc93dc",
"input": {
"prompt": "A red car parked in a desert | Hills behind the car | Aurora in the sky"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "cmzsiyxgqrgphisvsc5gjhnzy4",
"model": "energy-based-model/compositional-vsual-generation-with-composable-diffusion-models-pytorch",
"version": "fd76d2f66b0faf04184408ce21f02baf921df01d074308ba149a70fa6afc93dc",
"input": {
"prompt": "A red car parked in a desert | Hills behind the car | Aurora in the sky"
},
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"output": "https://replicate.delivery/mgxm/8525b32b-4a59-4865-a2ca-d2487ffa7221/output.png",
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2022-06-08T14:42:11.125442Z",
"started_at": "2022-06-08T14:42:11.426308Z",
"completed_at": "2022-06-08T14:42:32.524965Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/cmzsiyxgqrgphisvsc5gjhnzy4/cancel",
"get": "https://api.replicate.com/v1/predictions/cmzsiyxgqrgphisvsc5gjhnzy4"
},
"metrics": {
"predict_time": 21.098657,
"total_time": 21.399523
}
}Generated in
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