Datacte API
Access Datacte instantly with Puter.js, and add AI to any app in a few lines of code without backend or API keys.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.txt2img("A beautiful sunset", {
model: "datacte/proteus-v0.3"
}).then(imageElement => {
document.body.appendChild(imageElement);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.txt2img("A beautiful sunset", {
model: "datacte/proteus-v0.3"
}).then(imageElement => {
document.body.appendChild(imageElement);
});
</script>
</body>
</html>
List of Datacte Models
Proteus v0.2
datacte/proteus-v0.2
Proteus v0.2 is a Stable Diffusion XL fine-tune published on Hugging Face by dataautogpt3 (the same creator behind the Replicate handle datacte), built as an enhancement over OpenDalle v1.1. It was trained on around 220,000 GPT-V captioned, copyright-free stock images (with some anime included), plus 10,000 curated AI-generated image pairs run through Direct Preference Optimization. Several LoRA models were trained separately and merged into the base network at targeted layers. Compared to Proteus v0.1, v0.2 improves prompt understanding, which the model card describes as surpassing Midjourney 6, and renders facial detail and skin texture more realistically. It keeps proficiency across surrealism, anime, and cartoon styles alongside photorealism. It suits developers who want one model spanning anime, cartoon, and photorealistic output without switching checkpoints.
ImageProteus v0.3
datacte/proteus-v0.3
Proteus v0.3 is a Stable Diffusion XL fine-tune published on Hugging Face by dataautogpt3 (the same creator behind the Replicate handle datacte), continuing the same OpenDalle v1.1-derived Proteus line as v0.2. It carries over v0.2's training set of about 220,000 GPT-V captioned, copyright-free stock images and 10,000 DPO-optimized image pairs, then adds roughly 200,000 additional anime images refined by a further 15,000 aesthetically selected images. The model card reports this improved lighting effects significantly, without degrading the existing photorealistic and stylistic range or causing catastrophic forgetting. It keeps the facial detail and skin texture gains from v0.2 while extending anime and stylized output further. It fits use cases that need stronger anime and stylized generation alongside photorealism, such as pipelines mixing multiple art styles.
Frequently Asked Questions
The Datacte API gives you access to models for AI image generation. Through Puter.js, you can start using Datacte models instantly with zero setup or configuration.
Puter.js supports a variety of Datacte models, including Proteus v0.2 and Proteus v0.3. Find all AI models supported by Puter.js in the AI model list.
With the User-Pays model, users cover their own AI costs through their Puter account. This means you can build apps without worrying about infrastructure expenses.
Puter.js is a JavaScript library that provides access to AI, storage, and other cloud services directly from a single API. It handles authentication, infrastructure, and scaling so you can focus on building your app.
Yes — the Datacte API through Puter.js works with any JavaScript framework, Node.js, or plain HTML. Just include the library and start building. See the documentation for more details.