huggingface/finetrainers
A training library for diffusion models with memory optimization and scalable training algorithms.
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Finetrainers is a PyTorch-based library for training diffusion models, supporting various training algorithms like LoRA fine-tuning. It provides scalable, memory-optimized training scripts for video generation models including CogVideoX, LTX-Video, and Wan T2V. The library integrates with the Hugging Face diffusers ecosystem and is maintained as part of the HuggingFace organization.
Frequently asked
- What is huggingface/finetrainers?
- A training library for diffusion models with memory optimization and scalable training algorithms.
- Is finetrainers open source?
- Yes — huggingface/finetrainers is open source, released under the Apache-2.0 license.
- What language is finetrainers written in?
- huggingface/finetrainers is primarily written in Python.
- How popular is finetrainers?
- huggingface/finetrainers has 1.4k stars on GitHub.
- Where can I find finetrainers?
- huggingface/finetrainers is on GitHub at https://github.com/huggingface/finetrainers.