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qr2ai /paint_style:79f3d2c7
This version is disabled.
This version has been disabled because it consistently fails to complete setup.
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=qr2ai/paint_style
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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run qr2ai/paint_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"qr2ai/paint_style:79f3d2c7742ef8073371bf1f24e833e72d497f06a40dd390d6ca8529b096c91e",
{
input: {
image_pth: "https://replicate.delivery/pbxt/Jo7IO9QTq98WFeBXDVvYfynVgJgTUhrWagfw046oDL0VhrAo/0_0.webp"
}
}
);
// 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 qr2ai/paint_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"qr2ai/paint_style:79f3d2c7742ef8073371bf1f24e833e72d497f06a40dd390d6ca8529b096c91e",
input={
"image_pth": "https://replicate.delivery/pbxt/Jo7IO9QTq98WFeBXDVvYfynVgJgTUhrWagfw046oDL0VhrAo/0_0.webp"
}
)
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 qr2ai/paint_style 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/paint_style:79f3d2c7742ef8073371bf1f24e833e72d497f06a40dd390d6ca8529b096c91e",
"input": {
"image_pth": "https://replicate.delivery/pbxt/Jo7IO9QTq98WFeBXDVvYfynVgJgTUhrWagfw046oDL0VhrAo/0_0.webp"
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:
brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/qr2ai/paint_style@sha256:79f3d2c7742ef8073371bf1f24e833e72d497f06a40dd390d6ca8529b096c91e \
-i 'image_pth="https://replicate.delivery/pbxt/Jo7IO9QTq98WFeBXDVvYfynVgJgTUhrWagfw046oDL0VhrAo/0_0.webp"'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/qr2ai/paint_style@sha256:79f3d2c7742ef8073371bf1f24e833e72d497f06a40dd390d6ca8529b096c91ecurl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image_pth": "https://replicate.delivery/pbxt/Jo7IO9QTq98WFeBXDVvYfynVgJgTUhrWagfw046oDL0VhrAo/0_0.webp" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.13. Alternatively, try out our featured models for free.
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Output
{
"completed_at": "2023-11-02T14:47:58.168741Z",
"created_at": "2023-11-02T14:46:49.289926Z",
"data_removed": false,
"error": null,
"id": "davm5mtb7r7uhlaytqgk2yopcq",
"input": {
"image_pth": "https://replicate.delivery/pbxt/Jo7IO9QTq98WFeBXDVvYfynVgJgTUhrWagfw046oDL0VhrAo/0_0.webp"
},
"logs": "0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:01<00:46, 1.59s/it]\n 7%|▋ | 2/30 [00:01<00:20, 1.35it/s]\n 10%|█ | 3/30 [00:02<00:21, 1.23it/s]\n 13%|█▎ | 4/30 [00:02<00:14, 1.82it/s]\n 17%|█▋ | 5/30 [00:02<00:10, 2.48it/s]\n 20%|██ | 6/30 [00:03<00:07, 3.18it/s]\n 23%|██▎ | 7/30 [00:03<00:06, 3.79it/s]\n 27%|██▋ | 8/30 [00:03<00:04, 4.43it/s]\n 30%|███ | 9/30 [00:03<00:04, 5.04it/s]\n 33%|███▎ | 10/30 [00:03<00:03, 5.56it/s]\n 37%|███▋ | 11/30 [00:03<00:03, 5.97it/s]\n 40%|████ | 12/30 [00:03<00:02, 6.24it/s]\n 43%|████▎ | 13/30 [00:04<00:02, 6.51it/s]\n 47%|████▋ | 14/30 [00:04<00:02, 6.71it/s]\n 50%|█████ | 15/30 [00:04<00:02, 6.87it/s]\n 53%|█████▎ | 16/30 [00:04<00:02, 6.88it/s]\n 57%|█████▋ | 17/30 [00:04<00:01, 6.92it/s]\n 60%|██████ | 18/30 [00:04<00:01, 6.93it/s]\n 63%|██████▎ | 19/30 [00:04<00:01, 7.02it/s]\n 67%|██████▋ | 20/30 [00:05<00:01, 7.09it/s]\n 70%|███████ | 21/30 [00:05<00:01, 7.13it/s]\n 73%|███████▎ | 22/30 [00:05<00:01, 7.07it/s]\n 77%|███████▋ | 23/30 [00:05<00:00, 7.11it/s]\n 80%|████████ | 24/30 [00:05<00:00, 7.11it/s]\n 83%|████████▎ | 25/30 [00:05<00:00, 7.12it/s]\n 87%|████████▋ | 26/30 [00:05<00:00, 7.11it/s]\n 90%|█████████ | 27/30 [00:06<00:00, 7.08it/s]\n 93%|█████████▎| 28/30 [00:06<00:00, 7.11it/s]\n 97%|█████████▋| 29/30 [00:06<00:00, 7.06it/s]\n100%|██████████| 30/30 [00:06<00:00, 7.05it/s]\n100%|██████████| 30/30 [00:06<00:00, 4.64it/s]",
"metrics": {
"predict_time": 14.742544,
"total_time": 68.878815
},
"output": "https://replicate.delivery/pbxt/YB4O2TDn224rG19AWYixGuqOMVgRXFV5De9BGzQVI9sORL6IA/high_res_output.png",
"started_at": "2023-11-02T14:47:43.426197Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/davm5mtb7r7uhlaytqgk2yopcq",
"cancel": "https://api.replicate.com/v1/predictions/davm5mtb7r7uhlaytqgk2yopcq/cancel"
},
"version": "79f3d2c7742ef8073371bf1f24e833e72d497f06a40dd390d6ca8529b096c91e"
}Generated in
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