AI Model Catalogue

SOTA image model from xAI

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.

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

FLUX LoRA trained on paintings by Jean-Marc Nattier. Ladies of the court depicted as goddesses, flowing blue drapery, soft pastel tones, Rococo elegance.

FLUX LoRA trained on paintings by Bronzino. Cold enamel-smooth surfaces, austere aristocratic sitters, jewelled costumes, Florentine Mannerist 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 portraits by Anthony van Dyck. Elegant elongated figures in satin and lace, subtly melancholic expressions, Baroque court style.

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

FLUX LoRA trained on portraits by Thomas Lawrence, the leading British portraitist of the Regency era. Fluid brushwork, romantic lighting, aristocratic ease.

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.

Designed to make images sharper and cleaner, Crisp Upscale increases overall quality, making visuals suitable for web use or print-ready materials.

FLUX LoRA trained on French First Empire paintings. Napoleonic state portraiture — generals in gleaming uniforms, imperial ceremonies, neoclassical grandeur.

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

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

Nano Banana 2 with alpha transparency. Generates images with real RGBA transparency using triangulation matting — clean edges, proper semi-transparency, and accurate colors. Powered by Google Gemini 3.1 Flash Image.

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

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

Segment floorplan images into walls, doors, windows, and kitchen zones using a deep learning model, then extract structured contours and center lines as JSON for downstream applications.

Kling Video 3.0 Omni: Unified multimodal video generation with reference images, video editing, native audio, and multi-shot control

A next-generation image generation and editing model from Alibaba's Qwen team. Supports text-to-image and image editing with strong text rendering, especially for Chinese.

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

FLUX LoRA trained on 18th century fashion plates. Hand-coloured engraved illustrations, clean white backgrounds, elegant elongated figures, precise draughtsmanship.

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

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

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

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.

Google's fast image generation model with conversational editing, multi-image fusion, and character consistency

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.

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.

Convert raster images to high-quality SVG format with precision and clean vector paths, perfect for logos, icons, and scalable graphics.