
A sub 1 second 0.01$ multi-image editing model built for production use cases. For image generation, check out p-image here: https://replicate.com/prunaai/p-image
Frequently asked questions
How fast is p-image-edit?
p-image-edit completes image edits in under one second, making it one of the fastest AI image editing models available. This sub-second inference speed enables real-time and near-real-time creative workflows, making it ideal for production environments that require high throughput and low latency.
How much does p-image-edit cost per run?
p-image-edit costs $0.01 per prediction, making it highly affordable for large-scale batch editing. This fixed pricing model allows developers and businesses to run thousands of image edits economically, without worrying about variable or escalating costs as usage scales.
What is p-image-edit used for?
p-image-edit is used for production-grade AI image editing tasks including image-to-image transformation, multi-image compositing, reference-based editing, text rendering within images, and aspect ratio control. It is designed for developers and creators who need fast, precise, and reliable image edits at scale.
Does p-image-edit support multiple input images?
Yes, p-image-edit supports multi-image editing, allowing users to input multiple images simultaneously. This enables complex compositing, reference-based editing, and batch processing workflows, making it suitable for advanced production use cases that require combining or comparing multiple visual inputs.
How many times has p-image-edit been run on Replicate?
p-image-edit has been run over 42 million times on Replicate, making it one of the most battle-tested and widely used AI image editing models available. This extensive usage history demonstrates its reliability, consistency, and suitability for high-volume production environments.
Can p-image-edit render text inside images?
Yes, p-image-edit features exceptional text rendering capabilities, accurately producing legible and stylistically consistent text within edited images. This is a historically difficult challenge for diffusion-based models, and p-image-edit's ability to handle it reliably makes it stand out for design and branding use cases.
What is the difference between p-image-edit and p-image?
p-image-edit is an image-to-image editing model that modifies existing images based on text prompts, while p-image is an image generation model that creates images from scratch. Both are made by Pruna AI and available on Replicate, but they serve different creative and production workflows.
Is p-image-edit suitable for production deployment?
Yes, p-image-edit is specifically engineered for production use. It offers sub-second inference, consistent and reproducible outputs, fixed low-cost pricing at $0.01 per run, and has been validated through over 42 million runs on Replicate, making it a reliable choice for high-volume, low-latency production environments.



