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Tools · Comparison

Cleanup.pictures vs DALL-E 3 vs Stable Diffusion

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

Cleanup.picturesDALL-E 3Stable Diffusion
What it isRemove objects, people, text and defects from any picture for free. Create a clean background for a product picture 📸, re-design any items 👠, fill up some missing space for a youtube thumbnail 🎬, You can use it to iron your shirts 👕...etc!OpenAI's latest image generation model creating highly detailed images from natural language.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 · Pro $5/moFreemium · $20/mo (via ChatGPT Plus)Free · Free (self-hosted)
How it billsFlat monthlyFlat monthlyFree
Free tierYesYesYes
RatingNot yet rated4.5 from 6,800 reviews4.4 from 5,200 reviews
Features
  • Brush-to-remove objects
  • Background reconstruction
  • Text and watermark removal
  • Batch processing on paid tier
  • API available
  • Natural language prompts
  • Text in images
  • ChatGPT integration
  • Editing & variations
  • High resolution output
  • Style control
  • Safety filters
  • API access
  • Open-source model
  • Local execution
  • LoRA fine-tuning
  • ControlNet support
  • ComfyUI workflows
  • Inpainting & outpainting
  • Model merging
  • Community models
What works
  • Extremely fast and simple
  • Very cheap paid tier
  • No account needed to try
  • Easy to use via ChatGPT
  • Excellent text rendering
  • Accurate prompt following
  • No prompt engineering needed
  • Free tier available
  • Completely free to use
  • Full customization
  • No content restrictions
  • Large community
  • Runs locally
What does not
  • Free tier limits resolution
  • Struggles with complex backgrounds
  • Single purpose
  • Less artistic than Midjourney
  • Limited style control
  • Rate limits on free tier
  • Cannot generate faces of real people
  • Requires GPU hardware
  • Complex setup
  • Steeper learning curve
  • Quality varies by model
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