# Hugging Face — Exploring Quantization Backends in Diffusers

- Company: Hugging Face (huggingface.co)
- Announced: 2025-05-21T00:00:00+00:00
- Category: developer-tool-release
- Subject: Platform
- Models affected: Flux, FLUX.1-dev
- Source: https://huggingface.co/blog/diffusers-quantization
- Record: https://forck.live/items/1693-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.

## Evidence

Verbatim from https://huggingface.co/blog/diffusers-quantization:

> 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.

---

Record: https://forck.live/items/1693-exploring-quantization-backends-in-diffusers
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md