Tiny model with 4K native output capability — best image-per-VRAM-dollar ratio available. Apache 2.0. Runs on GTX 1070 8GB. The only model sub-1GB that produces print-resolution imagery with coherent composition.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 8GB VRAM Recommended
The PixArt-Σ model by PixArt-alpha is a 600M diffusion parameter architecture optimized for image tasks. It requires approximately 6GB of VRAM to comfortably run locally using a FP16 quantization. Extending the context window up to 0 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.
For running PixArt-Σ 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 8GB of VRAM to run the FP16 quantized version smoothly with a moderate context window.
The simplest method is utilizing Ollama by executing 'ollama run pixart-sigma' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.