Hunyuanimage-lite-v2-2-q4_k_m-4Bit

Accuracy vs. Size Tradeoff

Every variant is benchmarked against the FP16 baseline. Choose the right balance of accuracy and footprint for your workflow.

Usage Code Snippets

Which variant for your hardware?

Choose the right quantization path for your device and performance target.

About This Model

HunyuanImage Lite v2.2 is a compact version of Tencent's Hunyuan Image foundation model designed to deliver high-quality text-to-image generation while maintaining lower memory and compute requirements. Built on a Multimodal Diffusion Transformer (MMDiT) architecture, the model supports photorealistic image creation, digital artwork generation, concept visualization, marketing creatives, and multilingual prompt understanding. The Lite variant is specifically optimized for consumer GPUs and edge deployments, offering significantly faster inference compared to larger flagship image models. The Q4_K_M GGUF quantized version further reduces VRAM consumption while preserving visual quality, making it suitable for local AI image generation workflows in ComfyUI and GGUF-based ecosystems.