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vontage-point /aperol:69dcc1d4
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 vontage-point/aperol using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"vontage-point/aperol:69dcc1d4908b2321b650b5eef43274203ba94e1960e40bda0bc96e07fc7c6bfa",
{
input: {
prompt: "photo of a cheerful boy sitting, realistic, 4k 8k photograph, studio photography, sharp, blue pyjamas",
output_format: "webp",
output_quality: 80,
negative_prompt: "text, watermark, unsharp, blurry, render, bad anatomy, weird, strange",
randomise_seeds: true,
force_reset_cache: false,
return_temp_files: false
}
}
);
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 vontage-point/aperol using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"vontage-point/aperol:69dcc1d4908b2321b650b5eef43274203ba94e1960e40bda0bc96e07fc7c6bfa",
input={
"prompt": "photo of a cheerful boy sitting, realistic, 4k 8k photograph, studio photography, sharp, blue pyjamas",
"output_format": "webp",
"output_quality": 80,
"negative_prompt": "text, watermark, unsharp, blurry, render, bad anatomy, weird, strange",
"randomise_seeds": True,
"force_reset_cache": False,
"return_temp_files": False
}
)
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 vontage-point/aperol 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": "69dcc1d4908b2321b650b5eef43274203ba94e1960e40bda0bc96e07fc7c6bfa",
"input": {
"prompt": "photo of a cheerful boy sitting, realistic, 4k 8k photograph, studio photography, sharp, blue pyjamas",
"output_format": "webp",
"output_quality": 80,
"negative_prompt": "text, watermark, unsharp, blurry, render, bad anatomy, weird, strange",
"randomise_seeds": true,
"force_reset_cache": false,
"return_temp_files": false
}
}' \
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 vontage-point/aperol using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/vontage-point/aperol@sha256:69dcc1d4908b2321b650b5eef43274203ba94e1960e40bda0bc96e07fc7c6bfa \
-i 'prompt="photo of a cheerful boy sitting, realistic, 4k 8k photograph, studio photography, sharp, blue pyjamas"' \
-i 'output_format="webp"' \
-i 'output_quality=80' \
-i 'negative_prompt="text, watermark, unsharp, blurry, render, bad anatomy, weird, strange"' \
-i 'randomise_seeds=true' \
-i 'force_reset_cache=false' \
-i 'return_temp_files=false'
To learn more, take a look at the Cog documentation.
Pull and run vontage-point/aperol 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/vontage-point/aperol@sha256:69dcc1d4908b2321b650b5eef43274203ba94e1960e40bda0bc96e07fc7c6bfa
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "photo of a cheerful boy sitting, realistic, 4k 8k photograph, studio photography, sharp, blue pyjamas", "output_format": "webp", "output_quality": 80, "negative_prompt": "text, watermark, unsharp, blurry, render, bad anatomy, weird, strange", "randomise_seeds": true, "force_reset_cache": false, "return_temp_files": false } }' \ http://localhost:5000/predictions
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Output
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