# NVIDIA NeMo Automodel Integrates with Hugging Face Diffusers for Distributed Diffusion Model Fine-Tuning

_Tool · published 2026-07-17_

NVIDIA and Hugging Face have jointly announced an integration between NVIDIA NeMo Automodel and the Hugging Face Diffusers library, enabling production-grade distributed fine-tuning of open diffusion models at scale. The collaboration supports models including FLUX.1-dev, FLUX.2-dev, Wan 2.1 and 2.2, HunyuanVideo 1.5, and Qwen-Image — covering both text-to-image and text-to-video tasks — with no checkpoint conversion or model rewrites required.

NeMo Automodel is a PyTorch DTensor-native training library that treats parallelism as a configuration choice rather than a code change, supporting FSDP2, tensor parallel, context parallel, and pipeline parallel modes. The integration is fully open source under Apache 2.0 and is documented in the Diffusers training guide, with ready-to-use fine-tuning recipes and LoRA support for several of the listed models.

## Sources
- [Hugging Face Blog](https://huggingface.co/blog/nvidia/scale-diffusers-finetuning-nemo-automodel)
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