在消費級硬體上微調 FLUX.1-dev：使用 QLoRA 技術指南
Original: (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware
FLUX.1-dev is a state-of-the-art open-source text-to-image model with 12 billion parameters (12B), developed by Black Forest Labs. However…
本文介紹如何在消費級硬體（如 RTX 3090/4090）上微調 Black Forest Labs 的 FLUX.1-dev 12B 圖像生成模型。透過 Hugging Face 的 PEFT 與 Diffusers 庫，結合 4-bit QLoRA 量化、梯度檢查點與 8-bit 優化器，開發者能將顯存需求降至 24GB 以下，讓個人創作者也能輕鬆客製化頂級開源圖像模型。
FLUX.1-dev is a state-of-the-art open-source text-to-image model with 12 billion parameters (12B), developed by Black Forest Labs. However, due to its enormous parameter count, traditional full fine-tuning requires extremely high hardware requirements (typically multiple A100/H100 GPUs). To make this model customizable for the broader community and individual creators, Hugging Face released this practical guide detailing how to fine-tune FLUX.1-dev on consumer-grade hardware using QLoRA (Quantized Low-Rank Adaptation) technology.
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