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zelenioncode /test9480414:d7e195e5
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run zelenioncode/test9480414 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zelenioncode/test9480414:d7e195e51166a02f03ff58c14ffc65be8e470b05c075e76fb58fb7202b3c49e7",
{
input: {
gender: "woman",
safetensors: "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true"
}
}
);
// 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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run zelenioncode/test9480414 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zelenioncode/test9480414:d7e195e51166a02f03ff58c14ffc65be8e470b05c075e76fb58fb7202b3c49e7",
input={
"gender": "woman",
"safetensors": "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true"
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run zelenioncode/test9480414 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": "zelenioncode/test9480414:d7e195e51166a02f03ff58c14ffc65be8e470b05c075e76fb58fb7202b3c49e7",
"input": {
"gender": "woman",
"safetensors": "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true"
}
}' \
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.
Run this to download the model and run it in your local environment:
cog predict r8.im/zelenioncode/test9480414@sha256:d7e195e51166a02f03ff58c14ffc65be8e470b05c075e76fb58fb7202b3c49e7 \
-i 'gender="woman"' \
-i 'safetensors="https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true"'
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/zelenioncode/test9480414@sha256:d7e195e51166a02f03ff58c14ffc65be8e470b05c075e76fb58fb7202b3c49e7
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "gender": "woman", "safetensors": "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
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Output
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