HunyuanVideo: A Systematic Framework For Large Video Generation Model
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Updated
Mar 12, 2025 - Python
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Lumina-T2X is a unified framework for Text to Any Modality Generation
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🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning
OpenMusic: SOTA Text-to-music (TTM) Generation
Implementation of F5-TTS in MLX
Taming FLUX for Image Inversion & Editing; HunyuanVideo for Video Inversion & Editing! (Official implementation for Taming Rectified Flow for Inversion and Editing.)
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The official implementation of "CAME: Confidence-guided Adaptive Memory Optimization"
Implementation of F5-TTS in Swift using MLX
ArXiv paper Progressive Autoregressive Video Diffusion Models: https://arxiv.org/abs/2410.08151
Implementation of Diffusion Transformer Model in Pytorch
FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
Implementation of RIFT-SVC, a singing voice conversion model based on Rectified Flow Transformer.
This repo implements Diffusion Transformers(DiT) in PyTorch and provides training and inference code on CelebHQ dataset
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