Outmake VS Diffusion Bee

• Models
  download open models from Hugging Face and Civitai with one click. Each one is marked Runs great, Runs well or Too big for this Mac before you download it.
• Chat
  open models run on llama.cpp with Metal. Speculative decoding took a code edit from 30.5 to 69.1 words a second on an M1 Pro with 16 GB.
• Pictures and video
  make and edit pictures and short videos with stable-diffusion.cpp, including community models and styles. Background removal in 0.33 s with Apple's Vision.
• Voices
  Qwen3-TTS and other voices speak in many languages. You can talk to it in 100+ languages.
• Dictation
  hold the right Option key and speak; the words are typed where your cursor is.
• Bring your own plan
  use Claude, ChatGPT or Gemini through the plan or key you have. Outmake adds no charge.
• Native
  166,000 lines of Swift, no Electron. Lives in the notch, opens into a full window.
• Free
  Free, no account, no ads.

• User-Friendly Interface
  Diffusion Bee provides a user-friendly interface that simplifies the process of running Stable Diffusion models. It abstracts away much of the complexity involved in setting up and deploying these models.
• Cross-Platform Compatibility
  The tool is designed to be compatible with multiple platforms, allowing users across different operating systems to use it without facing compatibility issues.
• Open Source
  Being an open-source project means that it is free to use, and users can modify the source code to better suit their needs. It also adds a level of transparency and community trust.
• Pre-configured Models
  Diffusion Bee comes with pre-configured Stable Diffusion models, which makes it easier for users to get started without needing to manually configure the models.
• Community Support
  Being a part of the GitHub ecosystem means that it benefits from community support, with users and developers contributing to its improvement and helping troubleshoot issues.

Possible disadvantages

• Limited Customization
  While the aim for simplicity is beneficial for many, advanced users might find the level of customization and control over the models and configurations to be somewhat limited.
• Resource Intensive
  Running diffusion models can be computationally intensive, requiring significant hardware resources such as high-end GPUs, which may not be available to all users.
• Learning Curve for New Users
  Despite its user-friendly interface, new users unfamiliar with diffusion models or machine learning concepts might still face a learning curve when trying to understand how to effectively use the tool.
• Dependency Management
  Managing dependencies can still be a challenge. Users need to ensure that all necessary libraries and dependencies are correctly installed and updated, which may lead to compatibility issues.
• Updates and Maintenance
  As an open-source project, the frequency and consistency of updates may vary. There may also be periods where certain issues or bugs are not promptly addressed, depending on community activity and maintainers' availability.

How to run any AI model on your Mac.

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Tracking Outmake since Oct 2026.

• FLUX1.1 [pro] – New SotA text-to-image model from Black Forest Labs

  I usually don't want to comment on these, but: DiffusionBee's repo https://github.com/divamgupta/diffusionbee-stable-diffusion-... don't have any updates for 9... - Source: Hacker News / about 2 years ago

• Ask HN: Is there a DiffusionBee for chat LLMs?

  I am not directly wired in to everything Large Language Model (LLM) that is going on. Still, I would like to play occasionally occasionally with whatever the new hotness is without generating an account and handing off my phone number to... - Source: Hacker News / over 3 years ago

• The joys of stable diffusion on a base M1 Macbook. Any tips to speed up generation?

  Alternatively, you can use Diffusion Bee - standalone app with ui, supports custom models too. Source: over 3 years ago

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