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Stable Diffusion vs Upscayl

Stable Diffusion and Upscayl are both Image Generation tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeStable DiffusionUpscayl
Product statusStatus not recordedStatus not recorded
VendorStability AIUpscayl community
Rating★ 4.6★ 4.7
PricingFreemiumFreemium
PlatformsWeb, Desktop, APIWindows, macOS, Linux
Key featuresText-to-image model releases, SDXL base and optional refiner, SD3.5 Large documented separatelyDesktop batch upscaling, Vulkan-based local processing, Model selection and custom models
Headquarters——
Launched——
Open sourceNoYes

Key differences

  • Upscayl carries the higher editorial score (4.7★ vs 4.6★).
  • Both Stable Diffusion and Upscayl use a Freemium model.
  • Upscayl is open source (its code is public), while Stable Diffusion is proprietary.
  • Stable Diffusion runs on Web, Desktop, API; Upscayl runs on Windows, macOS, Linux.

Stable Diffusion and Upscayl at a glance

Stable Diffusion

Stability AI

A family of image models with downloadable releases and hosted options; capabilities and license terms depend on the exact checkpoint.

Rating
4.6★
Pricing
Freemium

Editorial verdict

Select the checkpoint and license first, then budget compute and validate the resulting images.

Strengths

  • Published model cards and downloadable checkpoints
  • Different deployment choices

Key features

  • Text-to-image model releases
  • SDXL base and optional refiner
  • SD3.5 Large documented separately
  • Self-hosting subject to model terms

Best for

  • Reviewed artwork and design experiments
  • Evaluation of a specific self-hosted checkpoint
Read the full Stable Diffusion review →

Upscayl

Upscayl community

Image upscaling with a free desktop application and a separate paid cloud service.

Rating
4.7★
Pricing
Freemium

Editorial verdict

Check your GPU and model rights, then choose local processing or the separately priced Cloud.

Strengths

  • Local batch workflow documented
  • Desktop and Cloud choices

Key features

  • Desktop batch upscaling
  • Vulkan-based local processing
  • Model selection and custom models
  • Separate Cloud credits and storage

Best for

  • Reviewed enlargement of authorized artwork
  • Local batch image preparation
Read the full Upscayl review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • Stable Diffusion also lists: Text-to-image model releases, SDXL base and optional refiner, SD3.5 Large documented separately, Self-hosting subject to model terms
  • Upscayl also lists: Desktop batch upscaling, Vulkan-based local processing, Model selection and custom models, Separate Cloud credits and storage

Frequently asked questions

Is Stable Diffusion or Upscayl better?

By editorial score, Upscayl scores higher (4.7★ vs 4.6★). Both are capable Image Generation tools, so review the feature comparison for your use case.

Which is cheaper, Stable Diffusion or Upscayl?

Both Stable Diffusion and Upscayl use a Freemium pricing model.

Are Stable Diffusion and Upscayl open source?

Upscayl is open source, while Stable Diffusion is proprietary.

What platforms do Stable Diffusion and Upscayl support?

Stable Diffusion supports Web, Desktop, API; Upscayl supports Windows, macOS, Linux.

What are the main features of Stable Diffusion and Upscayl?

Stable Diffusion: Text-to-image model releases, SDXL base and optional refiner, SD3.5 Large documented separately, Self-hosting subject to model terms. Upscayl: Desktop batch upscaling, Vulkan-based local processing, Model selection and custom models, Separate Cloud credits and storage.

Visit Stable Diffusion →Visit Upscayl →

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