# NVIDIA NeMo Automodel integrates with Hugging Face Diffusers for scalable training

> Source: <https://www.snipvote.com/story/cmrrge0hl0004280tfsb6ba38>
> Published: 2026-07-19 07:22:12.051927+00:00

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

### NVIDIA NeMo Automodel integrates with Hugging Face Diffusers for scalable training

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NVIDIA NeMo Automodel integration with Hugging Face Diffusers enables fine-tuning of video and image models at scale without checkpoint conversion or model rewrites, supporting models like FLUX.1-dev and HunyuanVideo. This unlocks production-grade, distributed diffusion training for Diffusers-format models, allowing for scalable and memory-efficient fine-tuning on large datasets across multiple GPUs.

FLUX.1 fine-tuning now runs on 1–1000 GPUs with zero model-code changes and no checkpoint conversion. This cuts the cost of adapting open diffusion models by 50–80% and lets you ship LoRA or full-weights variants in hours instead of days. If you’re serving custom image or video pipelines, expect lower cloud bills and faster iteration cycles.
