Advanced Image Generation
Control image generation with ControlNet, LoRA training, and ComfyUI workflows.
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After this skill you can…
- Use ControlNet for pose/depth-guided generation
- Train a LoRA on your own subject
- Build a ComfyUI node workflow
Prerequisites
Watch (10 videos)
GANs vs. Diffusion Models: Which Generative AI Architecture Should You Use?
→ Implement advanced image generation techniques→ Optimize generative models for specific tasks
5 Ways to Use Images in Midjourney
→ Use style references to drive specific visuals→ Create characters and objects with Omni Reference
How Synthesia Scales AI Video
→ Scale AI video platforms→ Maintain brand consistency across organizations
High-Efficiency Diffusion Models for On-Device Image Generation and Editing [Hung Bui] - 753
→ Implement high-efficiency diffusion models→ Optimize models for on-device deployment
EXACTLY How to use Higgsfield AI in 2026
→ Use Higgsfield AI for advanced image generation→ Create cinematic scenes with professional camera settings
LTX-2 Released opensource!
→ Optimize workflows for better performance→ Use Lora for camera movement and control
Comparing PromeAI to Midjourney and Stable Diffusion (Architect Insight)
→ Use PromeAI for advanced image generation→ Optimize AI design workflows→ Create visual inspiration with AI tools
How to Blend Real Footage + AI to Direct a Winter Fox
→ Use WAN 2.1 VACE for image generation→ Apply Depth Maps for realistic effects
Building with FLUX.2: From Prototype to Real-World Application
→ Optimize generative AI models→ Develop scalable applications
Fine-Tuned Qwen-Image-Edit vs Nano-Banana: Generating 1.2 Million Images
→ Fine-tune image generation models→ Optimize image generation for large datasets
Read (10 articles)
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