Hugging Face· PlatformDeveloper tool

Exploring Quantization Backends in Diffusers

Hugging Face released a technical guide on integrating multiple quantization backends (bitsandbytes, GGUF, torchao, Quanto, FP8) into Diffusers to reduce memory usage of diffusion models like Flux, with benchmark data.

From the source

this post explores the diverse quantization backends integrated directly into Hugging Face Diffusers. We'll examine how bitsandbytes, GGUF, torchao, Quanto and native FP8 support make large and powerful models more accessible, demonstrating their use with Flux.

huggingface.co

Announced

21 May 2025 00:00 UTC

Detected

03 Aug 2026 21:12 UTC (+439d after)