NeMo Automodel

Memory-efficient fine-tuning for image and video diffusion models

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Overview

NeMo Automodel is a tool from NVIDIA and Hugging Face integrated with the Diffusers library to enable memory-efficient fine-tuning of image and video diffusion models like FLUX.1-dev, Wan 2.1, and HunyuanVideo at scale.[3] It provides sharding and latent caching utilities so developers can train and adapt massive models that normally exceed single-GPU memory budgets.[3] This matters for ML engineers building high-resolution or long-duration generative media systems who need practical fine-tuning infrastructure.

Best For

+ml-engineers
+researchers
+vision-engineers

News & Updates

NVIDIA NeMo AutoModel Speeds Transformer Fine-Tuning by 40%

NVIDIA released NeMo AutoModel, a tool that automates and accelerates fine-tuning of transformer-based models. It reduces fine-tuning time by up to 40% compared to manual workflows, using automated hyperparameter optimization and mixed-precision training. The tool supports models like BERT, GPT, and T5, and integrates with the NeMo framework for distributed training. This lowers the barrier for enterprises to customize large language models without deep ML expertise.

breakthroughs7/23/2026

Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers

new_tools7/21/2026