AI Development Tools and Integration Ecosystem
Tools for AI-assisted development, image generation workflows, training monitoring, and intelligent task management. From ComfyUI optimization to AI-powered file curation.
DazzleML brings together tools for working with AI systems - whether you're generating images, training models, organizing datasets, or building AI-integrated workflows. These tools emerged from personal AI development work and help to solve problems encountered in various environments.
Read our philosophy → | See who should use DazzleML →
Most Popular Dazzle Project Overall
One-click installation of Triton and SageAttention optimizations for ComfyUI. Get 20-40% speed improvements without manual compilation.
python install.py # Everything installs automaticallyFull documentation → | Status: Active
AI-powered image curation tool. Find the best images from large collections using AI analysis of composition, quality, and aesthetics.
find-best-images --dir ./generations --top 10 --output best/Full documentation → | Status: Active
Monitor and visualize AI model training in real-time. Track loss, learning rate, sample outputs, and system resources.
python train.py --monitor localhost:8080
# View at http://localhost:8080Full documentation → | Status: Active
Tools for integrating AI assistants into development workflows using the Model Context Protocol. Includes TodoAI integration.
Full documentation → | Status: Active
# 1. Optimize ComfyUI for faster generation
cd comfyui-triton-and-sageattention-installer
python install.py
# 2. Generate images (now 20-40% faster)
# Use ComfyUI normally
# 3. Find best images from your outputs
find-best-images --dir outputs/ --top 20 --output best/
# 4. Monitor training runs
python train.py --monitor localhost:8080- Who Should Use DazzleML - Artists, developers, researchers, studios
- Philosophy - Design principles and approach
- Roadmap - Current status and planned features
- Sustainability - Supporting development
Project Documentation:
DazzleML works seamlessly with other Dazzle organizations:
DazzleLib - Use dazzle-filekit for dataset verification and file operations
DazzleTools - Use preserve for training data backups, pattern-break for dataset organization
DazzleNodes - ComfyUI custom nodes optimized with Triton installer
| Tool | Windows | Linux | macOS |
|---|---|---|---|
| ComfyUI Triton Installer | ✅ Full | ✅ Full | 🚧 Coming |
| find-best-images | ✅ Full | ✅ Full | ✅ Full |
| AI Training Monitor | ✅ Full | ✅ Full | ✅ Full |
| MCP Server Tutorial | ✅ Full | ✅ Full | ✅ Full |
Contributions welcome! Each tool has its own repository with contribution guidelines.
General Process:
- Fork the tool repository
- Create a feature branch
- Test with real AI workloads
- Ensure cross-platform compatibility
- Submit a pull request
Read contributing guidelines →
Learn about supporting DazzleML →
If DazzleML saves you time, consider sponsoring on GitHub or buying us a coffee
Current sponsorship: $0/month | Goal: $1,000/month
DazzleML is one of five organizations in the Dazzle ecosystem:
- DazzleProj - Ecosystem coordination
- DazzleLib - Foundation libraries
- DazzleTools - Command-line tools
- DazzleNodes - ComfyUI custom nodes
- DazzleML - AI development tools ← You are here
- TodoAI - Task-based OS with AI integration
- ComfyUI - Node-based UI for Stable Diffusion
- Model Context Protocol - AI assistant integration standard
DazzleML projects use GPL 3.0 to encourage open AI tooling and ensure improvements benefit everyone.
See individual project repositories for specific licensing information.
- GitHub: @djdarcy
- Issues: Use repository-specific issue trackers
- Discussions: GitHub Discussions
- Sponsorship: GitHub Sponsors
- Website: DazzleProj.com (coming soon)
Built by someone who trains models and generates images every day 🤖
AI tools for real work, not just demos.
