Fine-Tuned Qwen-Image-Edit vs Nano-Banana - Generating 1.2 Million Images

Fine-Tuned Qwen-Image-Edit vs Nano-Banana - Generating 1.2 Million Images

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39:26 General Questions

12 of 12

12 of 12

39:26 General Questions

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Fine-Tuned Qwen-Image-Edit vs Nano-Banana - Generating 1.2 Million Images

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  1. 1 0:00 Using Qwen-Image-Edit to generate 1.2 million images and cutting inference costs
  2. 2 5:45 The Task: Generating tables and workbenches in different colors
  3. 3 7:30 Testing Nano-Banana first to see if we even need to fine-tune
  4. 4 13:30 The Pricing Dilemma
  5. 5 16:26 Question: How did we evaluate the generated table quality
  6. 6 17:15 Question: How did we pass in the colors we wanted
  7. 7 18:48 How we kicked off the fine-tuning from the dataset
  8. 8 21:31 How Baseten provisions the GPUs to kick off a training job
  9. 9 24:44 What you see while fine-tuning
  10. 10 26:22 The inference optimizations
  11. 11 37:10 Using a Lighting LoRA speed up inference by reducing inference steps
  12. 12 39:26 General Questions

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