Pruna AI: P-Image Edit LoRA

prunaai/p-image-edit-lora

Access P-Image Edit LoRA from Pruna AI using the Puter.js AI API.

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Model Card

P-Image Edit LoRA is Pruna AI's inference endpoint for running custom-trained LoRA (Low-Rank Adaptation) adapters on top of P-Image Edit, its image editing model.

It is the serving side of a pair. Users train a LoRA with Pruna's separate P-Image Edit Trainer, then pass it to this endpoint to apply a specific edit style, such as a consistent transformation or look, to input images. A community collection of trained adapters is available on Hugging Face.

The base P-Image Edit model is described as generating edits in about one to two seconds and accepting multiple input images, and this endpoint builds on it. Each output image costs $0.01.

It suits developers who need repeatable, task-specific edits through an API without training or hosting a full image editing model themselves.

Cost Per Image $0.01

per generation

Configuration output

resolution

Release Date N/A

Add P-Image Edit LoRA to your app

Use P-Image Edit LoRA in your app with the Puter.js AI API, no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.txt2img("A serene mountain landscape at sunset", {
    model: "prunaai/p-image-edit-lora"
}).then(image => {
    document.body.appendChild(image);
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.txt2img("A serene mountain landscape at sunset", {
            model: "prunaai/p-image-edit-lora"
        }).then(image => {
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

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P-Image LoRA

P-Image LoRA is Pruna AI's inference endpoint for running custom-trained LoRA (Low-Rank Adaptation) adapters on top of P-Image. Rather than a fine-tuned model in itself, it's the serving side of a pair, users train a LoRA with Pruna's separate P-Image Trainer, then deploy it through P-Image LoRA to generate images with that custom style, subject, or character baked in. Trained adapters can be shared through Pruna's P-Image LoRA collection on Hugging Face. It carries the same fast, Pruna-optimized generation as the base P-Image model. It suits developers who want P-Image's speed and pricing combined with a personalized model, without retraining or hosting a full image model themselves.

Frequently Asked Questions

How do I use P-Image Edit LoRA?

You can access P-Image Edit LoRA by Pruna AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required.

Is the P-Image Edit LoRA API free for developers?

P-Image Edit LoRA is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for P-Image Edit LoRA?

P-Image Edit LoRA costs $0.01 per image.

	Price
Per image	$0.01

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the P-Image Edit LoRA API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Add P-Image Edit LoRA to your app for free

Developers can integrate P-Image Edit LoRA for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works