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lucataco /style-aligned:4ae87bee
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 lucataco/style-aligned using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/style-aligned:4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8",
{
input: {
width: 768,
height: 768,
image_subject: "None",
guidance_scale: 7,
negative_prompt: "low-resolution",
shared_score_scale: 1,
shared_score_shift: 2,
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 lucataco/style-aligned using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/style-aligned:4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8",
input={
"width": 768,
"height": 768,
"image_subject": "None",
"guidance_scale": 7,
"negative_prompt": "low-resolution",
"shared_score_scale": 1,
"shared_score_shift": 2,
"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 lucataco/style-aligned 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": "4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8",
"input": {
"width": 768,
"height": 768,
"image_subject": "None",
"guidance_scale": 7,
"negative_prompt": "low-resolution",
"shared_score_scale": 1,
"shared_score_shift": 2,
"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 lucataco/style-aligned using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/lucataco/style-aligned@sha256:4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8 \
-i 'width=768' \
-i 'height=768' \
-i 'image_subject="None"' \
-i 'guidance_scale=7' \
-i 'negative_prompt="low-resolution"' \
-i 'shared_score_scale=1' \
-i 'shared_score_shift=2' \
-i 'num_inference_steps=50'
To learn more, take a look at the Cog documentation.
Pull and run lucataco/style-aligned 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/lucataco/style-aligned@sha256:4ae87bee984bc5346c5ec8d6f8573825d0c602b5f5f82fc15b12460b997f90c8
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "width": 768, "height": 768, "image_subject": "None", "guidance_scale": 7, "negative_prompt": "low-resolution", "shared_score_scale": 1, "shared_score_shift": 2, "num_inference_steps": 50 } }' \ http://localhost:5000/predictions
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Output
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