Pruna AI: P-Image Ideogram
prunaai/p-image-ideogram
Access P-Image Ideogram from Pruna AI using the Puter.js AI API.
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P-Image Ideogram is a text-to-image model from Pruna AI, built in collaboration with Ideogram, that generates an image from a text prompt in under a second.
It inherits Ideogram's strength at rendering readable, correctly spelled text inside images. Prompts can be plain natural language or structured JSON with hex colors and bounding boxes for exact text placement. Output is available at 1K and 2K resolution, with eight aspect-ratio presets and custom width and height.
A single thinking control with four levels (very low, low, medium, high) sets the trade-off between speed and quality from one endpoint. Generation starts at roughly 0.4 seconds at 1K, and each image costs $0.015.
It suits developers building marketing graphics, ad creative, thumbnails, posters, and packaging mockups where headlines and labels must be legible.
Cost Per Image $0.015
per generation
Configuration output
resolution
Release Date N/A
Add P-Image Ideogram to your app
Use P-Image Ideogram 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-ideogram"
}).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-ideogram"
}).then(image => {
document.body.appendChild(image);
});
</script>
</body>
</html>
More AI Models From Pruna AI
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.
ImageP-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.
ImageP-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
You can access P-Image Ideogram 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.
P-Image Ideogram 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.
| Price | |
|---|---|
| Per image | $0.015 |
Yes — the P-Image Ideogram 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 Ideogram to your app for free
Developers can integrate P-Image Ideogram for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.