Stable DiffusionvsFlowise

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Stable Diffusion

AI Image & Video

Featured

Open-source text-to-image AI model by Stability AI

Flowise

Automation Platforms

Drag-and-drop LLM flow builder

FeatureStable DiffusionFlowise
CategoryAI Image & VideoAutomation Platforms
PricingFree (open-source)Free (open-source) + Cloud
GitHub Stars
More stars
40k
35k
PlatformsLinux, Windows, macOSmacOS, Linux, Windows, Docker
Key Features
  • Text-to-image
  • Inpainting
  • ControlNet
  • LoRA training
  • Local running
  • Visual flow builder
  • LangChain integration
  • Chatbot builder
  • Agent flows
  • API endpoints
  • Custom tools
Pros
  • + Fully open-source (Apache/CreativeML)
  • + Runs on consumer GPUs
  • + Massive community and model ecosystem
  • + Supports fine-tuning and LoRA
  • + No per-image costs when local
  • + No-code visual builder
  • + LangChain/LlamaIndex integration
  • + Easy deployment
  • + Good for prototyping
  • + Active community
Cons
  • Requires GPU setup
  • Base model quality below Midjourney
  • Can generate inappropriate content
  • Complex tooling ecosystem
  • Limited for complex custom logic
  • Can be buggy with some nodes
  • Documentation gaps
  • Less flexible than code
Tags
image-generationopen-sourcelocaldiffusion
open-sourceno-codelangchainchatbotvisual

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