📖 The AI Tool Bible

Krea vs MMagic

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Krea
Image Generation
MMagic
Image Generation
TaglineAll-in-one creative AI canvas that aggregates dozens of image, video, and 3D models behind a single UI.OpenMMLab's research-grade toolbox for image and video generation, restoration, and editing.
CategoryImage GenerationImage Generation
PricingFreemium· Free tier with 100 daily compute units; paid Basic/Pro monthly or annual plansFree· Free and open source (Apache 2.0)
ModelMulti-model (Flux, Ideogram, Runway, Luma, Veo 3.1, Gemini, Krea 2)Multi-model (Stable Diffusion, ControlNet, StyleGAN, GANs, diffusion)
Editorial score
Use cases
text-to-imagetext-to-videoimage-upscalingreal-time-generationlora-trainingtext-to-3d
text-to-imagesuper-resolutioninpaintingvideo-frame-interpolationimage-restorationmodel-benchmarking
Pros
  • One subscription covers 64+ image, video, and 3D models
  • Real-time canvas with sub-50ms generation feels like sketching
  • Native 4K output and upscaling to 22K resolution
  • LoRA training for custom styles and characters
  • Used in production by Lego, Nike, Samsung, Microsoft
  • Huge zoo of generative and restoration models in one consistent codebase
  • Strong evaluation and benchmarking tooling for research workflows
  • Open source under OpenMMLab with active GitHub project
  • Covers both image and video tasks, including frame interpolation
Cons
  • Compute-unit pricing is harder to predict than per-image plans
  • Quality depends on upstream third-party model availability
  • Heavy features gated behind higher-tier subscriptions
  • No self-host or fully open-source option
  • No hosted product or UI; requires PyTorch and a GPU
  • OpenMMLab config system has a steep learning curve
  • Diffusion community has largely moved to diffusers and ComfyUI
  • Some submodules lag behind upstream model releases
Websitekrea.aimmagic.readthedocs.io
Pick Krea if
  • One subscription covers 64+ image, video, and 3D models
  • Real-time canvas with sub-50ms generation feels like sketching
  • Native 4K output and upscaling to 22K resolution
  • LoRA training for custom styles and characters
Pick MMagic if
  • Huge zoo of generative and restoration models in one consistent codebase
  • Strong evaluation and benchmarking tooling for research workflows
  • Open source under OpenMMLab with active GitHub project
  • Covers both image and video tasks, including frame interpolation