Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers
NVIDIA has announced that NeMo Automodel now integrates with Hugging Face Diffusers to enable fine-tuning of video and image models at scale. The integration allows developers to use NeMo's automated model training pipeline to fine-tune diffusion models, such as Stable Diffusion, on custom datasets. NeMo Automodel handles distributed training, hyperparameter optimization, and model checkpointing, reducing the complexity of scaling fine-tuning workloads. The announcement highlights that this capability is available through the Hugging Face ecosystem, making it accessible to the community. By combining NeMo's infrastructure with Diffusers' model zoo, users can adapt pre-trained image and video generation models for specific use cases without managing low-level training details. The post emphasizes the scalability of the solution, enabling fine-tuning on large datasets across multiple GPUs. This integration aims to streamline the workflow from experimentation to production for generative AI applications.
Developers can now scale fine-tuning of video and image diffusion models using NeMo's automated pipeline.