Best Models for Text to Video
The following models are the actual AI engines that generate content. They are ranked based on a balance of output quality, local hardware accessibility (VRAM requirements), and feature set (e.g., native audio).
| Rank | Project / Model | Type | Hardware Needs | Key Features & Notes |
|---|---|---|---|---|
| 1 | Wan 2.1 / 2.2 | Video & Audio | Low to High 8GB VRAM (1.3B model) 24GB+ (14B model) | Best Overall Open Source. Developed by Alibaba. Features a 1.3B parameter model optimized for consumer GPUs and a 14B model for high fidelity. • Wan 2.2 supports text-to-video, image-to-video, and video-to-audio. • Fully open source (Apache 2.0). |
| 2 | LTX-2 | Video & Audio | Low to Mid 8-12GB VRAM (Distilled) 20GB+ (Full) | Best for Speed & Native Audio.<br>Generates video and synchronized audio (speech/Foley) simultaneously. • Capable of generating 20-second clips at 4K resolution. • The distilled version runs smoothly on consumer GPUs like the RTX 30/40 series. |
| 3 | HunyuanVideo | Video | High 12GB+ (FP8 quantized) 24GB+ (Standard) | Best Motion Quality. Released by Tencent with ~13B parameters. Known for superior motion coherence and flow. • Requires significant VRAM; usually requires quantization (FP8) to run on consumer cards. |
| 4 | CogVideoX | Video | Mid 12GB+ (5B model) | Strong Prompt Adherence. Utilizes a 3D Variational Autoencoder for consistency. • The 5B model is a solid middle-ground for quality on mid-range GPUs using INT8 quantization. |
| 5 | Kokoro TTS | Audio (TTS) | Very Low Runs on CPU/Low VRAM | Best Lightweight TTS. High-quality text-to-speech that is extremely fast and efficient. Supports multiple languages and can be run entirely offline. |
| 6 | Chatterbox TTS | Audio (TTS) | Low | Best for Cloning. Runs locally with no API costs. Capable of voice cloning with just 10-60 seconds of reference audio. Often integrated into video pipelines for dubbing. |
Gemini said
As of February 2026, the local LLM landscape has shifted significantly toward multimodal (vision-text) and reasoning-focused models. If you are looking for the best “general use” models that follow the Alpaca style—meaning they are optimized for chat, instructions, and practical tasks—here are the top recommendations.
Top Local Multimodal Models (Vision + Text)
Multimodal models are now the standard for general use. These allow you to upload images for analysis, OCR (extracting text), and visual reasoning alongside standard chat.
| Model | Size | Best For | Hardware |
| Gemma 3 12B | 12B | The All-Rounder. Best balance of speed, vision quality, and reasoning. | 16GB+ RAM/VRAM |
| Qwen3-VL 30B | 30B | The Powerhouse. Exceptional at document analysis, charts, and high-res images. | 32GB+ RAM/VRAM |
| Llama 4 Scout | 17B | Instruction Following. Based on the latest architecture with a massive context window. | 24GB+ RAM/VRAM |
| Magistral Small | 7B-13B | Fast Multimodal. A newer alternative to LLaVA with better benchmark scores. | 8GB-12GB VRAM |
Ranked Table of Local Frameworks & Orchestration Tools
These projects do not generate content themselves but provide the interface and glue to run the models listed above.
| Rank | Framework | Best For | Description |
|---|---|---|---|
| 1 | ComfyUI | Power Users | The Industry Standard. A modular, node-based GUI that supports almost every model (Wan, LTX, Hunyuan, Flux). • Allows complex workflows (e.g., stitching video, upscaling, adding audio). • Highly extensible with thousands of custom nodes for specific tasks. |
| 2 | Wan2GP | “GPU Poor” | Best Optimized Interface. A streamlined interface designed to run high-end models (Wan, LTX-2, Hunyuan) on hardware with limited VRAM (6GB+). • Includes built-in optimizations like Memory Profiles to prevent crashes. |
| 3 | Pinokio | Beginners | 1-Click Installer. A browser-based launcher that automatically installs complex AI environments (like ComfyUI or Wan2GP) and manages dependencies like Python/CUDA for you. |
| 4 | MoneyPrinterTurbo | Automation | Short-Form Content. An automated pipeline for creating “YouTube Shorts” style videos. Automates script writing, footage sourcing, and audio/subtitle generation in a single click. • Integrates with local TTS tools (Chatterbox) to avoid API costs. |
| 5 | ShortGPT | Content Engines | Video Editing Agent. An experimental AI framework for automating video editing, asset sourcing, and voiceovers. It uses LLMs to make editing decisions and can source footage from the web or local generation. |