4-step generation with Apache 2.0 commercial license. The fastest high-quality local image model — produces studio-grade output in under 3 seconds on a 24GB GPU. The go-to for commercial product photography pipelines.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 14GB VRAM Recommended
The FLUX.1 Schnell model by Black Forest Labs is a 12B diffusion parameter architecture optimized for image tasks. It requires approximately 12GB of VRAM to comfortably run locally using a BF16 quantization. Extending the context window up to 0 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.
For running FLUX.1 Schnell at maximum tokens-per-second, we recommend using LM Studio or Ollama with a GGUF quantization (Q4_K_M or Q6_K). If you are multi-GPU, use vLLM to distribute the layers across your VRAM pool for optimal throughput.
You will need a GPU with at least 14GB of VRAM to run the BF16 quantized version smoothly with a moderate context window.
The simplest method is utilizing Ollama by executing 'ollama run flux-schnell' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.