Readme
Sayak Paul’s cartoonizer, deployed to replicate. Here’s the model on huggingface: https://huggingface.co/instruction-tuning-sd/cartoonizer
harrolee / cartoonizer
Sayak Paul's cartoonizer, deployed to replicate. Here's the model: https://huggingface.co/instruction-tuning-sd/cartoonizer
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=harrolee/cartoonizer
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 harrolee/cartoonizer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"harrolee/cartoonizer:b4b9bb25b0aefaa73cf6780d3801896fc12a0dae64d177790f842c183b18cecb",
{
input: {
image: "https://replicate.delivery/pbxt/Ls35mwrjTYHYvR907JPIHtJWJUAsTluTR3WwyLu17JlqSxJH/border_atWork_15.png",
width: 768,
height: 768,
prompt: "Cartoonize the following image"
}
}
);
// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output[0]);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 harrolee/cartoonizer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"harrolee/cartoonizer:b4b9bb25b0aefaa73cf6780d3801896fc12a0dae64d177790f842c183b18cecb",
input={
"image": "https://replicate.delivery/pbxt/Ls35mwrjTYHYvR907JPIHtJWJUAsTluTR3WwyLu17JlqSxJH/border_atWork_15.png",
"width": 768,
"height": 768,
"prompt": "Cartoonize the following image"
}
)
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 harrolee/cartoonizer 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": "harrolee/cartoonizer:b4b9bb25b0aefaa73cf6780d3801896fc12a0dae64d177790f842c183b18cecb",
"input": {
"image": "https://replicate.delivery/pbxt/Ls35mwrjTYHYvR907JPIHtJWJUAsTluTR3WwyLu17JlqSxJH/border_atWork_15.png",
"width": 768,
"height": 768,
"prompt": "Cartoonize the following image"
}
}' \
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/harrolee/cartoonizer@sha256:b4b9bb25b0aefaa73cf6780d3801896fc12a0dae64d177790f842c183b18cecb \
-i 'image="https://replicate.delivery/pbxt/Ls35mwrjTYHYvR907JPIHtJWJUAsTluTR3WwyLu17JlqSxJH/border_atWork_15.png"' \
-i 'width=768' \
-i 'height=768' \
-i 'prompt="Cartoonize the following image"'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/harrolee/cartoonizer@sha256:b4b9bb25b0aefaa73cf6780d3801896fc12a0dae64d177790f842c183b18cecbcurl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/Ls35mwrjTYHYvR907JPIHtJWJUAsTluTR3WwyLu17JlqSxJH/border_atWork_15.png", "width": 768, "height": 768, "prompt": "Cartoonize the following image" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2024-10-28T00:48:10.835044Z",
"created_at": "2024-10-28T00:46:57.546000Z",
"data_removed": false,
"error": null,
"id": "rn1bxy0y19rgj0cjt2bstj7jng",
"input": {
"image": "https://replicate.delivery/pbxt/Ls35mwrjTYHYvR907JPIHtJWJUAsTluTR3WwyLu17JlqSxJH/border_atWork_15.png",
"width": 768,
"height": 768,
"prompt": "Cartoonize the following image"
},
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"metrics": {
"predict_time": 14.483364634,
"total_time": 73.289044
},
"output": [
"https://replicate.delivery/pbxt/uqrWeq39eXuV00BpatHQ9r3f79OzClQQcwvfW40BjJzkUksOB/out-0.png"
],
"started_at": "2024-10-28T00:47:56.351679Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/rn1bxy0y19rgj0cjt2bstj7jng",
"cancel": "https://api.replicate.com/v1/predictions/rn1bxy0y19rgj0cjt2bstj7jng/cancel"
},
"version": "b4b9bb25b0aefaa73cf6780d3801896fc12a0dae64d177790f842c183b18cecb"
}Generated in
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Run time and cost
This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.