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

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

Oxen via YouTube Direct link

4:00 Comparing the models on X/Twitter Thread Examples

3 of 14

3 of 14

4:00 Comparing the models on X/Twitter Thread Examples

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

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  1. 1 0:00 Intro to fine-tuning qwen-image-edit vs. nano banana and FLUX.1 Kontext
  2. 2 3:10 The Nano-Banana Lore
  3. 3 4:00 Comparing the models on X/Twitter Thread Examples
  4. 4 7:25 Testing swapping Ryan Gosling’s face with Donald Trump
  5. 5 13:05 Comparing dressing models in different clothing
  6. 6 18:55 What we are fine-tuning on: Generating Branded Yeti Mugs in New Environments
  7. 7 20:13 Initial Comparing with the three models
  8. 8 25:12 How to Fine-Tune Qwen to Generate Yeti Mugs in New Environments
  9. 9 30:26 Image samples as we train
  10. 10 31:50 Q: Why was the Training Loss so “Unstable”
  11. 11 32:33 Q: Are we using the same seed for every example?
  12. 12 32:51 Q: Are we fully fine-tuning or using a LoRA?
  13. 13 33:23 Going into results
  14. 14 35:33 Questions

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