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NVIDIA and Hugging Face launch NeMo Automodel for scalable diffusion model fine-tuning

By PulseAugur Editorial · [2 sources] ·

NVIDIA and Hugging Face have collaborated to release NeMo Automodel, an open-source PyTorch library designed to streamline the fine-tuning of diffusion models. This new tool allows users to train and fine-tune models in the Hugging Face Diffusers format without requiring any code rewrites or checkpoint conversions. NeMo Automodel supports various parallelism strategies, including FSDP2, tensor, and pipeline parallelism, enabling scalable training from a single GPU to hundreds. AI

IMPACT Simplifies and scales the fine-tuning process for diffusion models, potentially accelerating research and development in image and video generation.

RANK_REASON Release of an open-source library for fine-tuning existing models.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

NVIDIA and Hugging Face launch NeMo Automodel for scalable diffusion model fine-tuning

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COVERAGE [2]

  1. Hugging Face Blog TIER_1 English(EN) ·

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

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    NVIDIA NeMo Automodel trains Diffusers models with no code rewrites NVIDIA and Hugging Face shipped an open-source tool that fine-tunes video and image diffusio

    NVIDIA NeMo Automodel trains Diffusers models with no code rewrites NVIDIA and Hugging Face shipped an open-source tool that fine-tunes video and image diffusion models across GPU clusters with no checkpoint conversion https://www. notatechguy.com/nvidia-nemo-au tomodel-trains-di…

    LINKS notatechguy.com/nvidia-nemo-automodel-tra…

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