NVIDIA and Hugging Face collaborated to integrate NeMo Automodel with Diffusers, enabling distributed fine-tuning of diffusion models without checkpoint conversion. The open-source library supports FLUX.1-dev, Wan 2.1, and HunyuanVideo, offering both full fine-tuning and LoRA-style PEFT. Parallelism is configured rather than coded, allowing training to scale from one GPU to multi-node clusters. The integration is documented in the Diffusers training guide under Apache 2.0.
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