Fine-Tuned Qwen-Image-Edit vs Nano-Banana and FLUX.1 Kontext

Links + Notes 📝 https://www.oxen.ai/blog Join Fine-Tune Fridays 🔧 https://oxen.ai/community Discord 🗿 https://discord.com/invite/s3tBEn7Ptg Use Oxen AI 🐂 https://oxen.ai/ Oxen.ai offers one click fine-tuning or fine-tunes for you! Built on top of the worlds best data versioning tool, we offer tools to automate model evals, generate synthetic data, and effortlessly fine-tune models. -- Chapters 0:00 Intro to fine-tuning qwen-image-edit vs. nano banana and FLUX.1 Kontext 3:10 The Nano-Banana Lore 4:00 Comparing the models on X/Twitter Thread Examples 7:25 Testing swapping Ryan Gosling’s face with Donald Trump 13:05 Comparing dressing models in different clothing 18:55 What we are fine-tuning on: Generating Branded Yeti Mugs in New Environments 20:13 Initial Comparing with the three models 25:12 How to Fine-Tune Qwen to Generate Yeti Mugs in New Environments 30:26 Image samples as we train 31:50 Q: Why was the Training Loss so “Unstable” 32:33 Q: Are we using the same seed for every example? 32:51 Q: Are we fully fine-tuning or using a LoRA? 33:23 Going into results 35:33 Questions