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📖 The AI Tool Bible

Flux vs Upscayl

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Flux
Image Generation
Upscayl
Image Generation
TaglineBlack Forest Labs' open-weights image model — rivals Midjourney quality.Free and open-source AI image upscaler for desktop
CategoryImage GenerationImage Generation
PricingFreemium· FLUX.2 [max]: $0.07 · FLUX.2 [pro]: $0.03 · FLUX.2 [klein] 9B: $0.015 · FLUX.2 [klein] 4B: $0.014 · FLUX.2 [flex]: $0.05Freemium· Desktop: Free and open source. Cloud: Paid subscription (tier pricing on site).
ModelFlux.1 [schnell / dev / pro]Real-ESRGAN and related ncnn-Vulkan super-resolution models (plus custom user models)
Editorial score9.0 / 10
Use cases
open sourceself-hostedhigh quality
Restoring old family photo scansEnlarging low-res product photography for printUpscaling digital art and illustrationsRetro game sprite and texture enlargementPreparing web images for large-format printBatch enhancement of e-commerce cataloguesOffline privacy-sensitive photo processingCleaning up compressed social-media images
Pros
  • Open weights for [schnell]/[dev] variants
  • Quality rivals Midjourney
  • Excellent prompt adherence
  • Self-hostable
  • Genuinely free and open source under a permissive license, with active GitHub development
  • Runs fully offline on your own machine — no images ever leave your device in the desktop app
  • Cross-platform (Windows, macOS Intel and Apple Silicon, Linux) via Vulkan, so it works on AMD and Intel GPUs too, not just NVIDIA
  • Ships multiple task-specific models (photo, digital art, sharpen, high-fidelity) rather than a single one-size-fits-all upscaler
  • Batch processing and drag-and-drop folder queueing for high-volume jobs
  • Custom-model support lets you drop in community-trained Real-ESRGAN weights
  • Optional Upscayl Cloud tier for users without a capable local GPU
Cons
  • [pro] is API-only
  • Self-hosting needs serious GPU
  • GPU-accelerated but still slow on integrated graphics or older hardware; a 4x pass on a 4K photo can take minutes
  • Quality on faces and fine text still lags dedicated commercial tools like Topaz Gigapixel or Magnific
  • No built-in denoise, face-restoration (GFPGAN/CodeFormer) or generative fill — it's pure super-resolution
  • Occasional hallucinated texture patterns on foliage, hair or heavy JPEG artifacts
  • Cloud tier documentation and model selection is thinner than the desktop app
Websiteblackforestlabs.aiupscayl.org
Pick Flux if
  • Open weights for [schnell]/[dev] variants
  • Quality rivals Midjourney
  • Excellent prompt adherence
  • Self-hostable
Pick Upscayl if
  • Genuinely free and open source under a permissive license, with active GitHub development
  • Runs fully offline on your own machine — no images ever leave your device in the desktop app
  • Cross-platform (Windows, macOS Intel and Apple Silicon, Linux) via Vulkan, so it works on AMD and Intel GPUs too, not just NVIDIA
  • Ships multiple task-specific models (photo, digital art, sharpen, high-fidelity) rather than a single one-size-fits-all upscaler