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