2025년 2월 21일 금요일

What are the differences between the stable diffusion, SD versions?

There are several versions of Stable Diffusion,

and each version has different performance, resolution, and architecture.

The major differences between versions are summarized as follows.

1. STABLE Diffusion 1.x

  • SD 1.3, SD 1.5
  • Resolution: Native 512 x 512
  • Based on latent diffusion model
  • Relatively light computational requirements
  • There are many different community models (LoRA, DreamBooth, etc.).
  • SD 1.5 offers improved quality over SD 1.4

2. Stable Diffusion 2.x

  • SD 2.0, SD 2.1
  • Resolution: Native 768 x 768
  • Improve text recognition accuracy using OpenClip
  • Capable of creating more detailed images than SD 1.x
  • There were many complaints about NSFW filtering becoming stronger
    in version 2.0, which was eased in 2.1.

3. Stable Diffusion XL (SDXL)

  • SDXL 1.0, SDXL Turbo
  • Resolution: Default 1024 x 1024 (significantly higher resolution than 1.x)
  • More powerful text-to-image interpretation and improved image quality
  • Multi-prompt support (allows for more sophisticated prompt interpretation)
  • Improved natural facial and finger expressions
  • SDXL Turbo is a version with increased real-time creation speed.

Summary of key differences by version

version

native

resolution

understand

text

image

quality

special feature

SD 1.4 / 1.5

512×512

commonly

commonly

Most widely used, custom models galore

SD 2.0 / 2.1

768×768

Improved

improved

OpenCLIP application, NSFW filter controversy

SDXL 1.0

1024×1024

greatly improved

very excellent

Improved face and hand expressions, large model

SDXL Turbo

1024×1024

greatly improved

very excellent

Significantly improved speed, real-time creation possible

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