"
- please be descriptive for the prompt, eg describe the scene in a few words (textures, characters, materials, camera type etc)
- You must use Tailwind CSS and Daisy UI for the CSS classes, vanilla JS and Alpine.js for the JS.
- All the JS code will be written directly inside the page, using
- You MUST use English, not Latin! (I repeat: do NOT write lorem ipsum!)
- No need to write code comments, so please make the code compact (short function names etc)
- Use a central layout by wrapping everything in a \`\`
# HTML output
')) {
break
}
if (result.includes('<|end|>') || result.includes('<|assistant|>')) {
break
}
}
endRequest(id, `normal end of the LLM stream for request ${id}`)
} catch (e) {
console.log(e)
endRequest(id, `premature end of the LLM stream for request ${id} (${e})`)
}
try {
res.end()
} catch (err) {
console.log(`couldn't end the HTTP stream for request ${id} (${err})`)
}
})
app.get('/image', async (req, res) => {
try {
const blob = await hfi.textToImage({
inputs: [
`${req.query.prompt || 'generic placeholder'}`,
'award winning',
'high resolution',
'beautiful',
'[trending on artstation]'
].join(','),
model: 'stabilityai/stable-diffusion-2',
parameters: {
negative_prompt: 'blurry, cropped, low quality, ugly',
}
})
const buffer = Buffer.from(await blob.arrayBuffer())
res.setHeader('Content-Type', blob.type)
res.setHeader('Content-Length', buffer.length)
res.end(buffer)
} catch (err) {
console.error(`Error when generating the image: ${err.message}`);
res.status(500).json({ error: 'An error occurred when trying to generate the image' });
}
})
app.listen(port, () => { console.log(`Open http://localhost:${port}`) })