Fine-Tuned Qwen-Image-Edit vs Nano-Banana and FLUX.1 Kontext
Links + Notes ๐ https://www.oxen.ai/blog
Join Fine-Tune Fridays ๐ง https://oxen.ai/community
Discord ๐ฟ https://discord.com/invite/s3tBEn7Ptg
Use Oxen AI ๐ 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 Exaโฆ
Watch on YouTube โ
(saves to browser)
Chapters (14)
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 Goslingโs 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 โUnstableโ
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
DeepCamp AI