Lumina-T2X is a unified framework for Text to Any Modality Generation
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Updated
Aug 6, 2024 - Python
Lumina-T2X is a unified framework for Text to Any Modality Generation
[ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy
🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"
The official implementation of "CAME: Confidence-guided Adaptive Memory Optimization"
Implementation of Diffusion Transformer Model in Pytorch
FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
Implementation of Latent Diffusion Transformer Model in Tensorflow / Keras
A repo of a modified version of Diffusion Transformer
Diffusion Transformers in PyTorch and JAX
A diffusion transformer implementation in Flax
Minimal DDPM/DiT-based generation of MNIST digits
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