Low VRAM generation

Generating AI models (especially image generators) with minimal GPU memory requirements, enabling training and inference on consumer-grade hardware.

Key Techniques

• LoRA (Low-Rank Adaptation) for efficient fine-tuning
• Model quantization
• Optimized inference pipelines
• Careful memory management

Case Study: Adam Lucek’s Flux Model

• Video: Training FLUX.1 (Black Forest Labs) LoRA Adapter on Faces (Watch)
• Goal: Train a model to reliably generate images of a specific person (Adam Lucek) in various scenarios using low VRAM.
• Key Technologies: FLUX.1 (Black Forest Labs) LoRA adapter

Related Concepts

• LoRA
• FLUX.1
• Image generation

2026 04 14 Adam Lucek Flux model for Open AI generated image gen