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Tools · Comparison

Adobe Firefly vs Midjourney vs Stable Diffusion

All three are image generation tools. Here is what separates them.

Adobe FireflyMidjourneyStable Diffusion
What it isAdobe’s generator, trained on licensed content and indemnified for commercial use.AI-powered image generation creating stunning artwork and visuals from text descriptions.Stability AI is the enterprise-ready creative partner for teams and creators, delivering professional-grade generative AI tools and solutions for content production at scale.
CategoryImage GenerationImage GenerationImage Generation
PricingFreemium · Free credits · from $9.99/moPaid · $10-$60/moFree · Free (self-hosted)
How it billsUsage-basedFlat monthlyFree
Free tierYesNoYes
RatingNot yet rated4.7 from 9,800 reviews4.4 from 5,200 reviews
Features
  • Trained on licensed and public-domain content
  • Enterprise indemnification
  • Generative fill and expand in Photoshop
  • Vector generation in Illustrator
  • Content Credentials on output
  • V6 photorealistic generation
  • Style customization
  • Upscaling & variations
  • Pan & zoom controls
  • Image-to-image
  • Consistent characters
  • Prompt analysis
  • Batch processing
  • Open-source model
  • Local execution
  • LoRA fine-tuning
  • ControlNet support
  • ComfyUI workflows
  • Inpainting & outpainting
  • Model merging
  • Community models
What works
  • The safe choice for commercial work
  • Deeply integrated into Creative Cloud
  • Provenance metadata attached to output
  • Best artistic quality
  • Photorealistic capabilities
  • Active community
  • Consistent style control
  • Regular improvements
  • Completely free to use
  • Full customization
  • No content restrictions
  • Large community
  • Runs locally
What does not
  • Aesthetic quality below Midjourney
  • Credit system on top of a subscription
  • Stricter content filters
  • No free tier
  • Discord-based interface
  • Learning curve for prompts
  • Limited editing tools
  • No API access for small plans
  • Requires GPU hardware
  • Complex setup
  • Steeper learning curve
  • Quality varies by model
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