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Diffusion Bee vs LM Studio
Side-by-side comparison for macOS
Diffusion Bee
8.0Run Stable Diffusion locally
LM Studio
8.0Discover, download, and run local LLMs
| Metric | Diffusion Bee | LM Studio |
|---|---|---|
| Category | Media & Design | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 195 | 7.0K |
| 90-day Installs | 706 | 17.4K |
| 365-day Installs | 2.2K | 40.3K |
| Version | 2.5.3 | 0.4.12,1 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 13.5K | 136 |
| GitHub Forks | 716 | 28 |
| Open Issues | 397 | 2 |
| License | AGPL-3.0 | MIT |
| Language | JavaScript | Python |
| Last GitHub Commit | 1y ago | 2y ago |
| First Seen | Oct 5, 2022 | Jul 22, 2023 |
Reviews
Diffusion Bee
Diffusion Bee simplifies running Stable Diffusion locally on M1 Macs with a one-click installer, making it accessible for artists, designers, and developers without technical expertise.
Runs Stable Diffusion locally on macOS with a graphical user interface.
Pros
- + Easy one-click installation process.
- + Optimized for M1 Mac performance.
- + No additional dependencies required.
Cons
- - No auto-update feature.
- - Black screen issues reported on Intel Macs.
LM Studio
LM Studio simplifies discovering, downloading, and running local large language models, catering to developers and data privacy enthusiasts who prefer on-prem AI solutions.
LM Studio allows users to discover, download, and run local large language models.
Pros
- + Simplifies discovery and management of local LLMs
- + Supports various models and architectures
- + Auto-updates ensure the latest features and bug fixes
Cons
- - Occasional bugs reported by users
- - Primarily suited for technically inclined users