DrawingPics is an offline AI art generator that lets you create stunning images 100% locally on your macOS device. Powered by Stable Diffusion models, it offers fast generation (6 seconds for 512x512 images on M1 Macs) with LCM & Metal GPU acceleration. Enjoy privacy-focused, commercial-ready art without subscriptions—download custom models from CivitAI or Liblib. Try the free trial today!
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Published:
2024-09-13
Created:
2025-04-28
Last Modified:
2025-04-28
Published:
2024-09-13
Created:
2025-04-28
Last Modified:
2025-04-28
DrawingPics is an offline AI art generator that lets users create unlimited images using Stable Diffusion models directly in a whiteboard interface. It runs 100% locally on macOS (ARM/Intel chips) with GPU acceleration, ensuring privacy and fast generation times (e.g., 6 seconds for 512x512 images on M1 Macs). Users can also import custom models from platforms like CivitAI.
DrawingPics is ideal for digital artists, designers, and content creators who need privacy-focused, offline AI art generation. It suits macOS users seeking fast, locally processed Stable Diffusion images without cloud dependencies. Professionals needing commercial-ready artwork (under compliant licenses) and hobbyists exploring AI-generated art will also benefit from its whiteboard-style workflow.
DrawingPics excels in privacy-sensitive workflows (e.g., confidential projects), offline studios, or remote locations with limited internet. It’s perfect for rapid prototyping, concept art, and commercial design on macOS. The whiteboard interface suits collaborative brainstorming, while local processing ensures no data leaks—ideal for agencies, indie creators, or educators teaching AI art ethically.
DrawingPics is an offline AI art generator that lets you create unlimited images using Stable Diffusion models directly in a whiteboard interface. It runs 100% locally on your Mac (ARM or Intel chips), ensuring privacy. The app supports GPU acceleration for faster generation and allows you to import custom models from platforms like civitai.com.
The DrawingPics offline app supports both macOS ARM chips (like M1/M2) and Intel chips. However, performance may be slower on older Intel GPUs compared to Apple's M-series processors. Currently, there are no plans for Windows support.
DrawingPics generates images quickly thanks to LCM and Metal GPU acceleration. On a 16GB M1 MacBook Air, it takes just 6 seconds to create a 512x512 image. This is significantly faster than standard Stable Diffusion implementations.
Yes, DrawingPics allows you to use custom models beyond its default offering. You can download any Stable Diffusion 1.5 model or LoRA from community platforms like civitai.com or liblib.art, then import them into the app for unique artistic styles.
DrawingPics operates 100% offline after initial setup, with all processing done locally on your Mac. The app only collects error/crash logs and anonymous usage statistics. Your generated images and prompts never leave your computer, ensuring maximum privacy.
Commercial use depends on the specific model's license in DrawingPics. Many models use the CreativeML Open RAIL-M license which permits commercial use, but always check the license terms when downloading models from sources like civitai.com to ensure compliance.
If DrawingPics model downloads fail, first try the retry button. If issues persist, check your network connection or use a mirror download URL. Detailed troubleshooting steps are available in the documentation at docs.drawing.pics.
DrawingPics doesn't offer refunds but provides a free trial version. We recommend testing the app thoroughly before purchasing. If you encounter technical issues, contact the support team at [email protected] for assistance.
The DrawingPics online whiteboard has a free tier with daily usage quotas, suitable for light users. For heavy usage or unlimited access, consider subscribing or downloading the full offline desktop app which offers complete local processing.
DrawingPics stands out by combining an intuitive whiteboard interface with full offline operation on Mac. Unlike cloud-based alternatives, it offers privacy, faster generation through Metal acceleration, and flexibility to use custom Stable Diffusion models while keeping all processing local.
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