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lucataco /real-esrgan-video:c2376823
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=lucataco/real-esrgan-video
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 lucataco/real-esrgan-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/real-esrgan-video:c23768236472c41b7a121ee735c8073e29080c01b32907740cfada61bff75320",
{
input: {
model: "RealESRGAN_x4plus",
resolution: "2k",
video_path: "https://replicate.delivery/pbxt/KX1xsphkWK5eQ6WAU1P33xOvNNaoWWRcpxbv4Z0oX1Wn9bCH/sora-glass-short.mp4"
}
}
);
// 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 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 lucataco/real-esrgan-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/real-esrgan-video:c23768236472c41b7a121ee735c8073e29080c01b32907740cfada61bff75320",
input={
"model": "RealESRGAN_x4plus",
"resolution": "2k",
"video_path": "https://replicate.delivery/pbxt/KX1xsphkWK5eQ6WAU1P33xOvNNaoWWRcpxbv4Z0oX1Wn9bCH/sora-glass-short.mp4"
}
)
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 lucataco/real-esrgan-video 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": "lucataco/real-esrgan-video:c23768236472c41b7a121ee735c8073e29080c01b32907740cfada61bff75320",
"input": {
"model": "RealESRGAN_x4plus",
"resolution": "2k",
"video_path": "https://replicate.delivery/pbxt/KX1xsphkWK5eQ6WAU1P33xOvNNaoWWRcpxbv4Z0oX1Wn9bCH/sora-glass-short.mp4"
}
}' \
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": "2024-03-08T03:40:25.373468Z",
"created_at": "2024-03-08T03:35:40.672917Z",
"data_removed": false,
"error": null,
"id": "34afjvjb6xjvrgmxskvph6clma",
"input": {
"model": "RealESRGAN_x4plus",
"resolution": "2k",
"video_path": "https://replicate.delivery/pbxt/KX1xsphkWK5eQ6WAU1P33xOvNNaoWWRcpxbv4Z0oX1Wn9bCH/sora-glass-short.mp4"
},
"logs": "Upscaling from 1024x576 to 2560x1440, crop_to_fit=True\n/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.\nwarnings.warn(\nDownloading: \"https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth\" to /Real-ESRGAN/weights/RealESRGAN_x4plus.pth\n 0%| | 0.00/63.9M [00:00<?, ?B/s]\n 9%|▉ | 5.77M/63.9M [00:00<00:01, 46.6MB/s]\n 47%|████▋ | 30.0M/63.9M [00:00<00:00, 156MB/s] \n 85%|████████▌ | 54.6M/63.9M [00:00<00:00, 199MB/s]\n100%|██████████| 63.9M/63.9M [00:00<00:00, 183MB/s]\ninference: 0%| | 0/238 [00:00<?, ?frame/s]\ninference: 0%| | 1/238 [00:01<04:28, 1.13s/frame]\ninference: 1%| | 2/238 [00:01<03:46, 1.04frame/s]\ninference: 1%|▏ | 3/238 [00:02<03:30, 1.12frame/s]\ninference: 2%|▏ | 4/238 [00:03<03:22, 1.16frame/s]\ninference: 2%|▏ | 5/238 [00:04<03:18, 1.17frame/s]\ninference: 3%|▎ | 6/238 [00:05<03:17, 1.18frame/s]\ninference: 3%|▎ | 7/238 [00:06<03:13, 1.19frame/s]\ninference: 3%|▎ | 8/238 [00:06<03:11, 1.20frame/s]\ninference: 4%|▍ | 9/238 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1.21frame/s]\ninference: 96%|█████████▌| 229/238 [03:17<00:07, 1.21frame/s]\ninference: 97%|█████████▋| 230/238 [03:18<00:06, 1.21frame/s]\ninference: 97%|█████████▋| 231/238 [03:19<00:05, 1.21frame/s]\ninference: 97%|█████████▋| 232/238 [03:20<00:04, 1.21frame/s]\ninference: 98%|█████████▊| 233/238 [03:20<00:04, 1.20frame/s]\ninference: 98%|█████████▊| 234/238 [03:21<00:03, 1.21frame/s]\ninference: 99%|█████████▊| 235/238 [03:22<00:02, 1.20frame/s]\ninference: 99%|█████████▉| 236/238 [03:23<00:01, 1.21frame/s]\ninference: 100%|█████████▉| 237/238 [03:24<00:00, 1.20frame/s]\ninference: 100%|██████████| 238/238 [03:25<00:00, 1.21frame/s]\ninference: 100%|██████████| 238/238 [03:26<00:00, 1.15frame/s]\nCropping to fit done..\nUpscaled video saved to: /src/ouput/tmpelxlzoqmsora-glass-short_upscaled_2560_1440.mp4",
"metrics": {
"predict_time": 221.180025,
"total_time": 284.700551
},
"output": "https://replicate.delivery/pbxt/qPXMkdXAuRrrO9jktd2iFdrlf51xC3qdBy3YUhYAEkgU1BPJA/tmpelxlzoqmsora-glass-short_out.mp4",
"started_at": "2024-03-08T03:36:44.193443Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/34afjvjb6xjvrgmxskvph6clma",
"cancel": "https://api.replicate.com/v1/predictions/34afjvjb6xjvrgmxskvph6clma/cancel"
},
"version": "c23768236472c41b7a121ee735c8073e29080c01b32907740cfada61bff75320"
}Generated in
Upscaling from 1024x576 to 2560x1440, crop_to_fit=True
/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
Downloading: "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth" to /Real-ESRGAN/weights/RealESRGAN_x4plus.pth
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Cropping to fit done..
Upscaled video saved to: /src/ouput/tmpelxlzoqmsora-glass-short_upscaled_2560_1440.mp4