AI Model Catalogue

This large-context language model excels at handling lengthy documents and complex tasks requiring extended reasoning, making it ideal for developers and businesses needing to process long conversations, summarize extensive texts, or work with substantial codebases within a single API call.

SAM-Audio is a foundation model for isolating any sound in audio using text

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

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

Bria AI's remove background model

Monocular relative depth estimation

Monocular metric depth estimation

NghiTTS API for Vietnamese

Anthropic's most intelligent model with state-of-the-art coding, reasoning, and agentic capabilities

Image-to-video generation with optional audio, multi-shot narrative support, and faster inference

I don't have reliable information about a model called "drapolinar" by tennibel in my training data. I cannot provide a specific, factual description without risking inaccuracy. If you could provide more context or verify the exact name and creator, I'd be happy to help.

SOTA image model from xAI

Fast LoRA trainer for p-image, a super fast text-to-image model developed by Pruna AI. Use LoRAs here: https://replicate.com/prunaai/p-image-lora. Find or contribute LoRAs here: https://huggingface.co/collections/PrunaAI/p-image

This LoRA model is designed to generate images of a specific person's face with consistent features and should be used by creators who need to produce multiple variations of that individual's appearance in different styles and contexts.

Anime Illust model

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.

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

A foundation model for isolating any sound in audio using text, visual, or temporal prompts

Modify an existing video through natural-language commands, changing subjects, environments, and visual style while preserving the original motion and timing.

Automatically remove backgrounds from videos -perfect for creating clean, professional content without a green screen.

Upscale videos up to 8K output resolution. Trained on fully licensed and commercially safe data.

Realistic camera simulation and photo post-processing engine.

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

I WILL ADD DESCRIPTION SOON

Remove dust and scratches from old photos

Image colorization model from Topaz Labs

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.

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

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

Bria GenFill enables high-quality object addition or visual transformation. Trained exclusively on licensed data for safe and risk-free commercial use.

Minimax Speech 2.8 Turbo: Turn text into natural, expressive speech with voice cloning, emotion control, and support for 40+ languages

Minimax Speech 2.8 HD focuses on high-fidelity audio generation with features like studio-grade quality, flexible emotion control, multilingual support, and voice cloning capabilities

Use this fast version of Imagen 4 when speed and cost are more important than quality

I don't have reliable information about a model named "gpt-4.1-nano-2025-04-14" in my training data, so I cannot provide a factually accurate description of this specific model.