Explore photorealistic image generation using the Flux-1 (Dev) model and LoRA adapters in this comprehensive tutorial on Google Colab. Learn about the Flux.1 model family from Black Forest Labs and their open-weight models. Set up the Google Colab environment, generate your first image, and experiment with inference steps and guidance. Discover how to create a variety of outputs, including a cute Hydra. Dive into the Photorealism LoRA adapter and understand how to adjust the LoRA scale for optimal results. Generate diverse examples such as houses, bedrooms, and unicorns. Gain practical insights into AI-powered image generation techniques and expand your skills in creating stunning, lifelike visuals.
Flux-1 Dev - Photorealistic Image Generation Tutorial Using LoRA Adapters
Overview
Syllabus
- Welcome
- Text tutorial on MLExpert.io
- Flux.1 model family
- Weights on Hugging Face
- Google Colab Setup
- Generate our first image
- Inference steps
- Guidance
- Cute Hydra
- Output Variety
- Photorealism LoRA adapter
- LoRA scale strength
- More examples house, bedroom, unicorn
- Conclusion
Taught by
Venelin Valkov
Related Courses
-
Creating Your Own Flux AI Model with LoRA Fine-Tuning
-
Local Flux.1 LoRA Training Using AI-Toolkit
-
Training LoRA with SimpleTuner and AI-Toolkit for FLUX.1 - Art Style and Concept Development
-
Flux One - AI Image Customization Guide
-
How to Do Stable Diffusion LORA Training by Using Web UI on Different Models
-
FLUX AI Image Generator Tutorial - Comparison and Installation Guide
