# sd3

Published articles for sd3.

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## Memory-efficient Diffusion Transformers with Quanto and Diffusers

DevFeed: [Memory-efficient Diffusion Transformers with Quanto and Diffusers](<https://devfeed.tech/articles/memory-efficient-diffusion-transformers-with-quanto-and-diffusers-7450.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/quanto-diffusers>)

Author: Sayak Paul; David Corvoysier

Published: 2024-07-30T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [diffusers](<https://devfeed.tech/topics/diffusers.md>), [diffusion-transformers](<https://devfeed.tech/topics/diffusion-transformers.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [optimum](<https://devfeed.tech/topics/optimum.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [stable-diffusion](<https://devfeed.tech/topics/stable-diffusion.md>), [text-to-image](<https://devfeed.tech/topics/text-to-image.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>)

Tags: [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [diffusers](<https://devfeed.tech/tags/diffusers.md>), [diffusion-transformers](<https://devfeed.tech/tags/diffusion-transformers.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [guide](<https://devfeed.tech/tags/guide.md>), [optimum](<https://devfeed.tech/tags/optimum.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [quality](<https://devfeed.tech/tags/quality.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [sd3](<https://devfeed.tech/tags/sd3.md>), [text-to-image](<https://devfeed.tech/tags/text-to-image.md>)

### AI overview

This tutorial explains how to reduce the memory requirements of Transformer-based diffusion pipelines using Quanto quantization utilities from the Diffusers library. It benchmarks FP8 quantization on PixArt-Sigma, Stable Diffusion 3, and Aura Flow, reporting memory savings with slightly higher latency and little quality degradation.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Diffusers welcomes Stable Diffusion 3

DevFeed: [Diffusers welcomes Stable Diffusion 3](<https://devfeed.tech/articles/diffusers-welcomes-stable-diffusion-3-7469.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/sd3>)

Author: Dhruv Nair; YiYi Xu; Sayak Paul; Alvaro Somoza; Kashif Rasul; Apolinário from multimodal AI art

Published: 2024-06-12T00:00:00Z

Content type: release

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [stable-diffusion](<https://devfeed.tech/topics/stable-diffusion.md>), [diffusers](<https://devfeed.tech/topics/diffusers.md>), [diffusion-transformers](<https://devfeed.tech/topics/diffusion-transformers.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [text-to-image](<https://devfeed.tech/topics/text-to-image.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [lora](<https://devfeed.tech/topics/lora.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [diffusers](<https://devfeed.tech/tags/diffusers.md>), [diffusion](<https://devfeed.tech/tags/diffusion.md>), [guide](<https://devfeed.tech/tags/guide.md>), [inference](<https://devfeed.tech/tags/inference.md>), [lora](<https://devfeed.tech/tags/lora.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [sd3](<https://devfeed.tech/tags/sd3.md>), [stable-diffusion](<https://devfeed.tech/tags/stable-diffusion.md>), [text-to-image](<https://devfeed.tech/tags/text-to-image.md>)

### AI overview

The article announces Stable Diffusion 3 Medium, a 2B-parameter latent diffusion model. It describes the MMDiT architecture, multimodal text and image processing, rectified flow matching, inference support through a new scheduler, and accompanying Diffusers, DreamBooth, and LoRA resources.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.