@onepunya/hugging-face-loader
Advanced tools
npm i @onepunya/hugging-face-loader
const trained = require('@onepunya/hugging-face-loader');
// Take the hugging face model for example: https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0 in huggingface.co
trained("cute girl", "hugging face key", "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0")
.then(data => console.log(data)) // result is arraybuffer you can use "fs". to save the image
.catch(err => console.error(err));
npm i fs
fs.writeFileSync(data, `/image.jpg`)
see available models and apikey at hugging face
FAQs
try running your hugging face model
We found that @onepunya/hugging-face-loader demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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