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Tools · Comparison

FLUX vs Palette.fm vs Stable Diffusion

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

FLUXPalette.fmStable Diffusion
What it isBlack Forest Labs’ open-weight image models, the current default for anyone building generation into a product.Colorize your black and white images within seconds. Try our online AI colorize tool for free, no sign-up needed.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 (self-hosted) · API from $0.003/imageFreemium · $6/moFree · Free (self-hosted)
How it billsFlat monthlyFlat monthlyFree
Free tierYesYesYes
RatingNot yet ratedNot yet rated4.4 from 5,200 reviews
Features
  • Open weights for several variants
  • Strong text rendering inside images
  • High prompt adherence
  • Fine-tunable
  • Cheap API for the hosted variants
  • 21+ Color filters
  • “Remarkably accurate”
  • “World’s best AI to color B&W photos”
  • - PiXimperfect, Photoshop Expert, 4M Subscribers on YouTube
  • “In a league of its own”
  • - Bycloud, AI Expert, 112K Subscribers on YouTube
  • Open-source model
  • Local execution
  • LoRA fine-tuning
  • ControlNet support
  • ComfyUI workflows
  • Inpainting & outpainting
  • Model merging
  • Community models
What works
  • Can be run entirely on your own hardware
  • Best-in-class at text in images
  • Very cheap per image via API
  • Has a free tier, so it can be tried before paying
  • Publishes its price openly — $6/mo
  • The vendor lists 6 distinct capabilities
  • Sits in Image Generation, one of the better-covered categories here — easy to compare
  • Completely free to use
  • Full customization
  • No content restrictions
  • Large community
  • Runs locally
What does not
  • No polished consumer interface
  • Local use needs a capable GPU
  • Licence terms differ per variant
  • 133 other tools in this catalogue claim to do the same job
  • The vendor describes it only briefly, so what it does is not fully clear from their own site
  • Requires GPU hardware
  • Complex setup
  • Steeper learning curve
  • Quality varies by model
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