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prompthero /lookbook:d0a073dd
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run prompthero/lookbook using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"prompthero/lookbook:d0a073dd9094a11139e9df1d489c8df1dfe64fb8f40d957440e0125c0fa64c49",
{
input: {
width: 512,
height: 512,
prompt: "photography of an Italian car in Tuscany, poolsuite style",
num_outputs: 1,
guidance_scale: 6,
num_inference_steps: 50
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run prompthero/lookbook using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"prompthero/lookbook:d0a073dd9094a11139e9df1d489c8df1dfe64fb8f40d957440e0125c0fa64c49",
input={
"width": 512,
"height": 512,
"prompt": "photography of an Italian car in Tuscany, poolsuite style",
"num_outputs": 1,
"guidance_scale": 6,
"num_inference_steps": 50
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run prompthero/lookbook 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": "d0a073dd9094a11139e9df1d489c8df1dfe64fb8f40d957440e0125c0fa64c49",
"input": {
"width": 512,
"height": 512,
"prompt": "photography of an Italian car in Tuscany, poolsuite style",
"num_outputs": 1,
"guidance_scale": 6,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run prompthero/lookbook using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/prompthero/lookbook@sha256:d0a073dd9094a11139e9df1d489c8df1dfe64fb8f40d957440e0125c0fa64c49 \
-i 'width=512' \
-i 'height=512' \
-i 'prompt="photography of an Italian car in Tuscany, poolsuite style"' \
-i 'num_outputs=1' \
-i 'guidance_scale=6' \
-i 'num_inference_steps=50'
To learn more, take a look at the Cog documentation.
Pull and run prompthero/lookbook using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/prompthero/lookbook@sha256:d0a073dd9094a11139e9df1d489c8df1dfe64fb8f40d957440e0125c0fa64c49
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "width": 512, "height": 512, "prompt": "photography of an Italian car in Tuscany, poolsuite style", "num_outputs": 1, "guidance_scale": 6, "num_inference_steps": 50 } }' \ http://localhost:5000/predictions
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