For all those who would like to start an adventure with a knitting machine: we have completed a video tutorial that can help you set up the machine and start knitting. Watch it and get confident: https://www.youtube.com/watch?v=Xn1PyUHAC_Q&t=1s

We promise, it’s not that difficult 🙂

We have something for all sewing fans! This time you can discover sewing by making and customizing a REVERSIBLE BUCKET HAT 👒 Cool right? Learn to sew and protect yourself from the strong summer sun! 🌞  

Bring your fabric and any special accessories you want to add. ✂️  
📆 Date: 17 + 18 June  
⏰ Time: 2 – 5 pm  
📍 Location:  
BITZ unibz fablab 
Via Rosmini 9  
Bolzano  

💰 10€/Person  
💸 Free for Students  

📩 Registration via email: bitzfablab@unibz.it  

Date: 30 Mai; 6, 13, 20 June;
Time: 2-5 pm

BITZ unibz fablab now offers a course to learn ComfyUI,
a powerful free and open-source software for AI-powered image, video, 3D-model, sound, voice, text… generation.

The most powerful application for generative AI, open-source and node-based!
ComfyUI gives you more control and creative freedom than any other tool!

• Visual control: Unlike many other AI- tools, ComfyUI allows for a modular, visual workflow – ideal for designers and artists who want to directly influence image composition and style.
• Open Source = Open Mind: You’ll not only learn how to use a tool, but also understand how AI image generators work – with no black box.
• Future skill: AI is becoming increasingly important in the creative industry – from concept art and fashion to media and product design. With ComfyUI, you’ll gain both technical know-how and creative freedom.

What to expect

• Introduction to AI image generation with Stable Diffusion
• Hands-on work with ComfyUI
• Creative mini-projects & experiments
• No prior knowledge required

Sign up now!
Course is free and open for everyone!
Spaces are limited!

Registration mail to: Stephan.Pircher@unibz.it
Let’s explore together how art and technology can open up new paths to creativity.
We look forward to seeing you at Bitz!

—————————————————–

Learn more about ComfyUI:

Official website: comfy.org

ComfyUI Beginner tutorial: https://openart.ai/workflows/academy

Showreel AI 2024: https://youtu.be/Y5Isghixqq4?si=Of2W8eAjlbypuR1e

This is a list of some possible ComfyUI Workflows

1. Creative Workflows

• Text-to-Image (TTI): Generate an image from a text prompt
• Image-to-Image (ITI): Use an image as a template for variations
• Inpainting: Selectively replace specific areas of an image with new content
• Outpainting: Expand an image beyond its original borders
• ControlNet Variations: Achieve precise control through additional image information
• Pose-to-Image: Human pose determines the content of the image
• Depth-to-Image: Depth maps influence the structure of the image
• Scribble-to-Image: Use a sketch as the foundation for the image
• Canny-to-Image: Use edge detection images as a control element
• Style Transfer: Apply the style of one image to another
• QR-Code Diffusion: Creatively and legibly embed QR codes into images
• LoRA Mixing: Combine multiple style models
• Model Merging: Merge two or more AI models
• Prompt Matrix: Automatically combine and compare multiple prompts
• Upscaling: Upscale images with AI-powered sharpening
• AnimateDiff: Combine individual images into animations
• Prompt Morphing: Smoothly blend between prompts
• GIF Creation: Generate animated sequences from created images

2. Technical & Experimental Workflows

• GLIGEN: Place objects precisely using bounding boxes
• T2I Adapter: Alternative to ControlNet with lower data requirements
• Noisy Latent Composition: Combine multiple image subjects into one
• Semantic Segmentation: Analyze images into semantic zones
• Normal Map Generation: Create structural information for 3D applications
• Depth Map Generation: Generate depth information for VR/3D output
• Audio-to-Image: Use sound or music to influence image generation
• Terminal Node (Shell, Python): Run arbitrary scripts directly
• Prompt Comparison Automation: Automatically compare text prompts
• Batch Generation from JSON/CSV: Data-driven image production

3. Language, Text & Voice

• Prompt Engineering via LLM: AI creates or improves prompts
• Captioning with CLIP + LLM: Automatically describe images
• TTS (e.g., Bark, ElevenLabs): Convert text to natural speech
• STT (e.g., Whisper): Convert speech to text
• Voice Cloning (RVC): Imitate voices from a few samples
• Voice-to-Image: Generate images from spoken text

4. 3D & AR/VR Workflows

• TTI + Depth2Mesh: Turn text descriptions into 3D models
• Normal2Geometry: Convert normal maps into geometry
• NeRF: Reconstruct 3D models from 2D images
• Volumetric Rendering: Create 3D light volumes for realistic depth
• SMPL Avatars: Human avatars with movement/poses
• Multi-View Consistency: Generate consistent images from different viewpoints
• 360° Rendering: Create spherical panoramas or VR images
• ComfyUI + Unity Integration: Control interactive 3D scenes

5. Utility & Automation

• Scheduled Generation: Automate generation at set intervals
• Random Style Switcher: Apply styles randomly
• File-Watcher Nodes: Respond to file changes in the system
• EXIF/Metadata Injection: Automatically insert image metadata
• Image Comparison (MSE, SSIM): Measure differences between images
• Template-based UI Mockups: Automatically populate design templates

6. High-End / Advanced Workflows

• Dreambooth Training / LoRA Training: Train your own models from images
• Real-Time Video2Video: Transform live camera images with AI
• Stable Video Diffusion (SV3D): Create moving scenes from images and prompts
• Arduino Control via ComfyUI: Use sensor data to control AI output
• Robot Integration: Connect generative AI with the physical world

Multi-User Queue Server: Multi-user management with task queues