AI Model Catalogue

Agentic image model optimized for robust, high-precision generations supporting font control

SOTA Object removal, enables precise removal of unwanted objects from images while maintaining high-quality outputs. Trained exclusively on licensed data for safe and risk-free commercial use

FIBO-Edit brings the power of structured prompt generation to image editing

Google's latest image editing model in Gemini 2.5

Bria Background Generation allows for efficient swapping of backgrounds in images via text prompts or reference image, delivering realistic and polished results. Trained exclusively on licensed data for safe and risk-free commercial use

Bria Increase resolution upscales the resolution of any image. It increases resolution using a dedicated upscaling method that preserves the original image content without regeneration.

Image colorization model from Topaz Labs

Animate any character, humans, cartoons, animals, even non-humans, from a single image + driving video

FireRed-Image-Edit is a general-purpose image editing model that delivers high-fidelity and consistent editing across a wide range of scenarios.

Google's Imagen 4 flagship model

Commercial-ready, trained entirely on licensed data, text-to-image model. With only 4B parameters provides exceptional aesthetics and text rendering. Evaluated to be on par to other leading models in the market

SOTA Open source model trained on licensed data, transforming intent into structured control for precise, high-quality AI image generation in enterprise and agentic workflows.

Z-Image Turbo is a super fast text-to-image model of 6B parameters developed by Tongyi-MAI.

FLUX LoRA trained on dramatic painted sky imagery — stormy heavens, golden hour light, baroque clouds.

FLUX LoRA trained on paintings by Édouard Manet. Loose spontaneous brushwork, flat areas of tone, modern Parisian subjects.

Apple's SHARP model — single image to 3D Gaussian splats

Use trained LoRAs from the https://replicate.com/prunaai/p-image-trainer. Find or contribute LoRAs here https://huggingface.co/collections/PrunaAI/p-image-loras

Seedream 5.0 lite: image generation with built-in reasoning, example-based editing, and deep domain knowledge

Google's state of the art image generation and editing model 🍌🍌

A sub 1 second text-to-image model built for production use cases.

Automated background removal for images. Tuned for AI-generated content, product photos, portraits, and design workflows

High-fidelity video generation with portrait support, audio-to-video, retake, and extend. Text, image, and audio-driven creation up to 4K at 50 FPS.

Recraft's latest image generation model at ~2048px resolution. Same design taste and prompt accuracy as V4, with higher resolution for print-ready and large-scale work.

Recraft's latest image generation model, built around design taste. Strong prompt accuracy, art-directed composition, and integrated text rendering. Fast and cost-efficient at standard resolution.

Generate production-ready SVG vector images from text prompts. Recraft V4's design taste applied to vector output — clean geometry, structured layers, and editable paths.

FLUX LoRA trained on ancient Mediterranean paintings — Greek vase paintings, Minoan frescoes, Egyptian tomb murals. Flat schematic figuration, bold outlines, ceremonial character.

FLUX LoRA trained on paintings by J.-A.-D. Ingres. Porcelain-smooth surfaces, exquisitely elongated forms, precise linear contours, neoclassical mastery.

FLUX LoRA trained on ancient Roman paintings — Pompeii frescoes, encaustic panel portraits. Earthy terracotta tones, flat modelling, direct frontal gazes.

FLUX LoRA trained on Fayum mummy portraits. Striking directness, dark engaging eyes, gilded details, luminous encaustic wax technique.

FLUX LoRA trained on portrait photographs by Nadar. Intimate psychologically revealing studio portraits, soft directional natural light, minimal props.

FLUX LoRA trained on portraits by François Clouet. Precise detailed rendering of rich costume and jewels, flat even lighting, Valois court style.

FLUX LoRA trained on paintings by John Singer Sargent. Dazzling bravura brushwork, shimmering whites, vivid capturing of personality and social status.

FLUX LoRA trained on paintings by Titian. Luminous warm flesh tones, rich crimson and gold drapery, monumental Venetian Renaissance style.

FLUX LoRA trained on portraits by Anthony van Dyck. Elegant elongated figures in satin and lace, subtly melancholic expressions, Baroque court style.

FLUX LoRA trained on paintings by Diego Velázquez. Psychological penetration, muted silver-grey palettes, loose painterly surfaces, Spanish Baroque realism.

FLUX LoRA trained on paintings by Thomas Gainsborough. Feathery delicate brushwork, luminous silks, pastoral English backgrounds.