#75 · Primary category: Foundation Models
Lumina-T2X
Lumina-T2X is a unified framework for Text to Any Modality Generation
Project last updated:02/16/25
GitHub Stars
2.2K
Forks
98
Contributors
15
License
MIT
Why we included this project
Lumina-T2X is a good place to see one codebase handle text-to-image, text-to-video, text-to-audio, and 3D generation with the same flow-based diffusion transformer architecture and a shared training and inference harness. It ships working pipelines for the Lumina-Next image models, including a 2K-resolution variant and compositional generation from multiple region captions, plus text-to-music and audio modules, with checkpoints published on Hugging Face and WiseModel. Practical workflows are covered too: img2img translation, Dreambooth-style fine-tuning, and SD3 support, and the image pipeline plugs into the Hugging Face diffusers ecosystem and a ComfyUI wrapper. The repo also carries Flag-DiT and Next-DiT training and comparison material, which makes it handy for researchers comparing diffusion-transformer designs. If you want to study or reproduce a state-of-the-art flow-matching transformer rather than call an API, the code here is concrete and runnable.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
MiniCPM-V
A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone
generative-models
Generative Models by Stability AI
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities