FallnAI

company

AI & ML interests

Autonomous Agentic Workflows Diffusion Transformers (DiT) Large Action Models AI Web Application Development ML Research Engineering Distributed Computing Model Development/Training/Deployment On-Device Inference

Recent Activity

Falln87 updated a Space 2 days ago

FallnAI/README

Falln87 updated a collection 2 months ago

Text2Speech

Falln87 updated a collection 5 months ago

Video Diffusion

View all activity

Organization Card

Community About org cards

🌌 FallnAI

Building Autonomous Ecosystems & Next-Gen Applied ML

Pushing the boundaries of multi-agent architectures, serverless asset generation, and open-weights optimization for edge and consumer hardware.

🚀 Core Platforms & Engines

🎮 xGameBuilder

An autonomous, high-fidelity 3D game studio and asset generation pipeline.

Architecture: Driven by CrewAI role-based agents orchestrating workflow inside custom engine systems (Godot integration).
Asset Pipeline: Dedicated serverless generation leveraging the Diffusers library for scalable, high-quality multimodal asset creation.

⚡ xAppBuilder

An autonomous, language-agnostic multi-agent application factory.

Capabilities: Generates full-stack web and software applications from technical blueprints to production code (React, Tailwind CSS, Firestore).

🤖 TaskAgent

An omni-use, multi-step AI execution engine designed for complex digital task automation.

Focus: Dynamic command execution, tool utilization, and autonomous operations in sandboxed environments.

🔬 FallnAI Research

Our experimental wing dedicated to model optimization, fine-tuning, and open-source accessibility.

Focus Area	Description	Technologies
🧠 Distillation & SLMs	Fine-tuning specialized open-source models for complex reasoning, multi-step logic, and structured code output (e.g., `2.5-R1-Distill`).	PyTorch, LoRA, Hugging Face Transformers
🗜️ Quantization	Democratizing massive LLMs for consumer hardware via automated quantization pipelines.	GGUF, AWQ, EXL2
👁️ Multimodal & Diffusion	Exploring video-to-video generation, custom Vision-Language Models (VLMs), and specialized LoRA adapters.	Diffusers, ZeroGPU, Cloud TPUs
🎵 Audio Transformers	Curation of high-fidelity synthetic datasets and architectures for generative audio tasks.	Audio Scrapers, ACE-Step frameworks