Pruna AI: P-Image LoRA

prunaai/p-image-lora

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

Add to your app

Model Card

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.

Cost Per Image $0.005

per generation

Configuration output

resolution

Release Date N/A

Add P-Image LoRA to your app

Use P-Image 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-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-lora"
        }).then(image => {
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

More AI Models From Pruna AI

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Image

FLUX Fast

FLUX Fast is Pruna AI's speed-optimized version of Black Forest Labs' FLUX.1 [dev] image generation model. Pruna applies its own compression stack to the base model, combining flux caching (reusing outputs from earlier diffusion steps) with its diffusers2 compiler. On FLUX.1 [dev], Pruna reports this combination gives a 2.7x speedup over the original model, while keeping output quality close to the source on standard metrics such as LPIPS, SSIM, and PSNR. Pruna markets FLUX Fast as the fastest FLUX endpoint available, aimed at cases where turnaround time matters, such as interactive apps and high-throughput generation pipelines. It suits developers who want FLUX.1 [dev] quality without the latency of the standard model.

Image

P-Image

P-Image is Pruna AI's own text-to-image model, generating images in about one second at $0.005 each. Pruna describes it as building on prior open image models from Black Forest Labs (the FLUX series) and Alibaba (Qwen Image, Z-Image) rather than a single from-scratch architecture, though the company hasn't published full architectural details. Pruna positions P-Image as matching the quality of state-of-the-art image models while running about 30 times cheaper and 50 times faster, per its own figures. It's built for exact prompt adherence and reliable, controllable text rendering inside generated images. Use cases include real-time or high-volume applications, such as advertising and gaming assets, where both cost and latency matter.

Image

Wan 2.2 Image

Wan 2.2 Image is Pruna AI's optimized version of Alibaba's Wan 2.2 model running in image-generation mode, rather than the video mode Wan is best known for. Pruna applies its compression engine to the base model, generating 2-megapixel images in 3-4 seconds at $0.02 each. Pruna reports its version running 2.4 times faster than SeedDream, 1.8 times faster than FLUX1.1 [pro], and 1.1 times faster than its own earlier Wan 2.1 Image model. The model is tuned toward cinematic, aesthetically strong output rather than speed alone. It suits text-to-image workloads where a photographic, cinematic look matters, such as creative and marketing content, drawing on Wan's video-model lineage for composition.

Frequently Asked Questions

How do I use P-Image LoRA?

You can access P-Image 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 LoRA API free for developers?

P-Image 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 LoRA?

P-Image LoRA costs $0.005 per image.

	Price
Per image	$0.005

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

Yes — the P-Image 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 LoRA to your app for free

Developers can integrate P-Image 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