# Replicate — Introducing LoRA: A faster way to fine-tune Stable Diffusion

- Company: Replicate (replicate.com)
- Announced: 2023-02-07
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://replicate.com/blog/lora-faster-fine-tuning-of-stable-diffusion
- Record: https://forck.live/items/2576-introducing-lora-a-faster-way-to-fine-tune-stable-diffusion
- Subject: Platform
- Models affected: Stable Diffusion, cloneofsimo/lora, replicate/lora-training, replicate/lora-advanced-training, replicate/lora

Replicate introduces LoRA, a faster method to fine-tune Stable Diffusion. LoRA trains in minutes, produces 5MB models, and allows combining multiple concepts. It is available now on Replicate.

## Evidence

Verbatim from https://replicate.com/blog/lora-faster-fine-tuning-of-stable-diffusion:

> A few short months later, Simo Ryu has created a new image generation model that applies a technique called LoRA to Stable Diffusion. Similar to DreamBooth, LoRA lets you train Stable Diffusion using just a few images, and it generates new output images with those objects or styles. Unlike DreamBooth, LoRA is fast: While DreamBooth takes around twenty minutes to run and produces models that are several gigabytes, LoRA trains in as little as eight minutes and produces models that are around 5MB.

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Record: https://forck.live/items/2576-introducing-lora-a-faster-way-to-fine-tune-stable-diffusion
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md