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Input
Run this model in Node.js with one line of code:
npx create-replicate --model=arielreplicate/scalable_diffusion_with_transformers
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run arielreplicate/scalable_diffusion_with_transformers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"arielreplicate/scalable_diffusion_with_transformers:a11f7289b60685a4e48a0b09e41d091e27c2beb447877bc2117bfd6f9781c193",
{
input: {
cfg_scale: 4,
class_name: "centipede",
VAE_Decoder: "sd-vae-ft-mse",
num_outputs: 4,
DiT_resolution: "256x256",
num_sampling_steps: 250
}
}
);
console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun arielreplicate/scalable_diffusion_with_transformers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"arielreplicate/scalable_diffusion_with_transformers:a11f7289b60685a4e48a0b09e41d091e27c2beb447877bc2117bfd6f9781c193",
input={
"cfg_scale": 4,
"class_name": "centipede",
"VAE_Decoder": "sd-vae-ft-mse",
"num_outputs": 4,
"DiT_resolution": "256x256",
"num_sampling_steps": 250
}
)
print(output)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=<paste-your-token-here>Find your API token in your account settings.
Run arielreplicate/scalable_diffusion_with_transformers 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": "a11f7289b60685a4e48a0b09e41d091e27c2beb447877bc2117bfd6f9781c193",
"input": {
"cfg_scale": 4,
"class_name": "centipede",
"VAE_Decoder": "sd-vae-ft-mse",
"num_outputs": 4,
"DiT_resolution": "256x256",
"num_sampling_steps": 250
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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Output
{
"completed_at": "2022-12-23T10:47:58.291190Z",
"created_at": "2022-12-23T10:40:01.144556Z",
"data_removed": false,
"error": null,
"id": "g7a6k4brknhrpmb2evkdfknw2m",
"input": {
"cfg_scale": 4,
"class_name": "centipede",
"VAE_Decoder": "sd-vae-ft-mse",
"num_outputs": 4,
"DiT_resolution": "256x256",
"num_sampling_steps": 250
},
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"metrics": {
"predict_time": 145.536039,
"total_time": 477.146634
},
"output": [
"https://replicate.delivery/pbxt/KspexOUj2z0FXqUUDX5GEqWoePSMHMTgv3CbbG46OJ9dlzMQA/output-0.png",
"https://replicate.delivery/pbxt/JRXZmyMj415cHpyBlg2ljmuKr9Da53Z4N3Co9nUGe3fdlzMQA/output-1.png",
"https://replicate.delivery/pbxt/Od6f1nFZYXwlICDFG9BUwfOmhm7mEynlwBV4VnAX6KcdlzMQA/output-2.png",
"https://replicate.delivery/pbxt/ciN6jPOgJTbKPVoq2iuepVYxoWqure7mwckylCOebuQ9KnZgA/output-3.png"
],
"started_at": "2022-12-23T10:45:32.755151Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/g7a6k4brknhrpmb2evkdfknw2m",
"cancel": "https://api.replicate.com/v1/predictions/g7a6k4brknhrpmb2evkdfknw2m/cancel"
},
"version": "089c3506e8fb6cdc7f7b0165cac893f1ae03e044fbff88ef7164d9f0b0dead85"
}Generated in
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100%|██████████| 250/250 [02:23<00:00, 1.74it/s]This example was created by a different version, arielreplicate/scalable_diffusion_with_transformers:089c3506.