Stable Diffusion vs Flux

A side-by-side look at Stable Diffusion and Flux — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

Stable DiffusionFlux
SummaryThe original open-source image model with the largest ecosystem.Open-weight image model with excellent prompt adherence and text rendering.
PricingOpen SourceOpen Source
CategoryImageImage
PlatformsWeb, Self-hostedWeb, Self-hosted, API
Key features
  • Open Weights
  • LoRA Ecosystem
  • ControlNet
  • Local Install
  • Open Weights
  • ControlNet Support
  • Fine-Tunable
  • API Providers
Pros
  • Huge model ecosystem
  • Runs on consumer GPUs
  • Fully free
  • Endless customization
  • Open source
  • Excellent prompt adherence
  • Runs locally on a good GPU
  • Great text-in-image
  • No per-image lock-in
Cons
  • Setup can be intimidating
  • Quality trails Flux on new checkpoints
  • Needs a capable GPU for local use
  • UI depends on which provider you pick
  • Less polished than Midjourney out of the box

Read the full Stable Diffusion review

Stable Diffusion pioneered accessible open-source image generation and its ecosystem of fine-tuned models, LoRAs and UIs remains unmatched. It is the tool of choice for hobbyists and pros running local pipelines, doing heavy customization or building products where per-image cost matters. Flux surpasses it on raw quality, but Stable Diffusion's community and tooling depth keep it relevant.

Read the full Flux review

Flux by Black Forest Labs is the strongest open-weight image model available. It follows prompts precisely, renders humans and hands convincingly and handles text in images better than most closed models. Because the weights are open, you can run Flux locally, fine-tune it on your own style or embed it inside a product without per-image fees. For developers and designers who need control and portability, Flux is the default open choice.