From the source
This blog post guides users through fine-tuning the FLUX.1-dev model using QLoRA with the diffusers library, achieving peak memory usage under ~10 GB VRAM on a single GPU like the NVIDIA RTX 4090.
It covers techniques such as 4-bit quantization, 8-bit AdamW optimizer, gradient checkpointing, and latent caching to enable efficient fine-tuning on consumer hardware.
