--- title: Fine-tune video and image models at scale with NVIDIA... description: NVIDIA and Hugging Face have integrated NeMo Automodel with the Diffusers library to enable production-grade distributed fine-tuning of diffusion models at... canonical: https://daily.dev/posts/fine-tune-video-and-image-models-at-scale-with-nvidia-nemo-automodel-and-diffusers-h6czd9etv twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers | daily.dev og:description: NVIDIA and Hugging Face have integrated NeMo Automodel with the Diffusers library to enable production-grade distributed fine-tuning of diffusion models at... og:url: https://daily.dev/posts/fine-tune-video-and-image-models-at-scale-with-nvidia-nemo-automodel-and-diffusers-h6czd9etv og:image: https://api.daily.dev/og/posts/H6cZD9ETv.png og:image:alt: Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers og:image:width: 1200 og:image:height: 630 og:locale: en --- [Hugging Face](https://daily.dev/sources/huggingface) [Read post](https://api.daily.dev/r/H6cZD9ETv) # [Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers](https://api.daily.dev/r/H6cZD9ETv "Go to post") NVIDIA and Hugging Face have integrated NeMo Automodel with the Diffusers library to enable production-grade distributed fine-tuning of diffusion models at scale. NeMo Automodel is a PyTorch DTensor-native training library that works natively with any Diffusers-format model on the Hub — no checkpoint conversion required. It supports full fine-tuning and LoRA-style PEFT for models like FLUX.1-dev, Wan 2.1 (1.3B and 14B), HunyuanVideo, and Qwen-Image. Key features include FSDP2, tensor/context/pipeline parallelism, multiresolution bucketed dataloading, and multi-node orchestration. A detailed walkthrough covers pre-encoding datasets, launching training via YAML configs, and generating from fine-tuned checkpoints. Performance benchmarks on 8× H100 GPUs are provided for both text-to-image and text-to-video models. The library is open source under Apache 2.0. [#deep-learning](/tags/deep-learning "Check all #deep-learning posts")[#diffusion-models](/tags/diffusion-models "Check all #diffusion-models posts")[#lora](/tags/lora "Check all #lora posts") Jul 17 • 10m read time • From [huggingface.co](https://api.daily.dev/r/H6cZD9ETv "huggingface.co") [](https://api.daily.dev/r/H6cZD9ETv "Go to post") Table of contents [Table of contents](https://api.daily.dev/r/H6cZD9ETv "Table of contents")[ What is NeMo Automodel?](https://api.daily.dev/r/H6cZD9ETv "What is NeMo Automodel?")[ Supported diffusion models](https://api.daily.dev/r/H6cZD9ETv "Supported diffusion models")[ What this collaboration unlocks](https://api.daily.dev/r/H6cZD9ETv "What this collaboration unlocks")[ A look at the fine-tuning workflow](https://api.daily.dev/r/H6cZD9ETv "A look at the fine-tuning workflow")[ Other Finetuned/LoRA examples](https://api.daily.dev/r/H6cZD9ETv "Other Finetuned/LoRA examples")[ Try it today](https://api.daily.dev/r/H6cZD9ETv "Try it today")[ Coming next: Pythonic recipe APIs](https://api.daily.dev/r/H6cZD9ETv "Coming next: Pythonic recipe APIs")[ Resources](https://api.daily.dev/r/H6cZD9ETv "Resources") Comment Bookmark Copy Share your thoughts Post Share this post [](https://daily.dev/sources/huggingface) [Hugging Face](https://daily.dev/sources/huggingface "https://daily.dev/sources/huggingface") HuggingFace's platform is a resource for developers and researchers working in natural language proc... 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