(LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware

New post shows efficient fine-tuning of FLUX.1-dev on consumer hardware via QLoRA with the diffusers library, targeting peak VRAM under ~10 GB on a single GPU. It explains loading a quantized 4-bit base model, training FP16/BF16 LoRA adapters, uses an 8-bit AdamW optimizer, and discusses options to load or merge LoRA adapters with results demonstrated on an RTX 4090.

Source

HuggingFace Blog

Ingéré

19 JUIN 2025 · 19:10

Score édito

4.0 / 5