Tencent released HunyuanVideo 1.5, an open-source AI video generation model with just 8.3 billion parameters—designed to run smoothly on consumer-grade GPUs rather than requiring expensive cloud credits or enterprise hardware.
Key Details:
Consumer-grade hardware - The lightweight 8.3B parameter design uses 3D causal VAE compression (16:1 spatial, 4:1 temporal) and SSTA attention mechanism to enable efficient inference on standard GPUs, dramatically lowering the barrier compared to larger competing models.
Bilingual instruction following - Natively supports Chinese and English text prompts with advanced parsing for complex cinematography instructions: lighting setups, camera movements (push-in, pull-out, orbit), composition details, and text rendering directly in video.
Cinematic capabilities - Handles fluid character and object motion, physics simulation (soft and rigid body dynamics), multiple art styles (photorealism, anime, claymation), and includes a super-resolution pipeline that upscales to 1080p while avoiding grid artifacts.
Open access now - Code and model weights available via GitHub and Hugging Face, targeting independent creators, small studios, and developers who previously couldn't access state-of-the-art video generation due to cost or compute constraints.
Image-to-video mode - Maintains strict consistency with input images for color, detail, and style, enabling seamless character integrity and scene coherence across generated sequences.
