FastVideo and HunyuanVideo

FastVideo provides inference optimization and post-training capabilities that could accelerate HunyuanVideo's large model, making them complements rather than direct competitors—one focuses on efficient inference infrastructure while the other provides a comprehensive video generation framework.

FastVideo
85
Verified
HunyuanVideo
52
Established
Maintenance 23/25
Adoption 18/25
Maturity 25/25
Community 19/25
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 3,232
Forks: 286
Downloads: 1,618
Commits (30d): 47
Language: Python
License: Apache-2.0
Stars: 11,847
Forks: 1,209
Downloads:
Commits (30d): 0
Language: Python
License:
No risk flags
No Package No Dependents

About FastVideo

hao-ai-lab/FastVideo

A unified inference and post-training framework for accelerated video generation.

Supports full model fine-tuning and LoRA adaptation for video diffusion transformers, alongside Distribution Matching Distillation and sparse attention techniques achieving >50x denoising speedup. Provides optimized inference through sequence parallelism and multiple attention backends (including Video Sparse Attention), with a Python API and CLI supporting H100/A100/4090 GPUs across Linux/Windows/macOS. Integrates with Hugging Face model hub and supports both autoregressive and bidirectional video generation architectures.

About HunyuanVideo

Tencent-Hunyuan/HunyuanVideo

HunyuanVideo: A Systematic Framework For Large Video Generation Model

Employs a unified diffusion architecture for both image and video generation using a multimodal language model text encoder and 3D VAE for efficient spatiotemporal compression. Integrates with HuggingFace Diffusers and supports multi-GPU sequence parallel inference via xDiT for accelerated generation, with quantized FP8 weights for reduced memory overhead. Includes a prompt rewriting module to enhance text-to-video quality and extends to specialized variants for image-to-video, audio-driven animation, and custom video synthesis tasks.

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