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Bringing Nunchaku 4-bit Diffusion Inference to Diffusers
Hugging Face · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Hugging Face integrated Nunchaku 4-bit quantization into Diffusers, enabling diffusion models to run with 4-bit weights and activations for faster inference and lower memory.
- 为何重要
- Engineers deploying text-to-image models on consumer GPUs need to reduce VRAM from 20-30GB to fit models like ERNIE or FLUX on hardware with limited memory.
- 注意
- NVFP4 kernels require NVIDIA Blackwell GPUs; earlier generations must use INT4 variants. Speedup is about 30 percent, less than the original Nunchaku engine's model-specific optimizations.
收听本摘要
- inference
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