Can we achieve accuracy of Flux.Dev with Flux.Schnell, or can we get even sharper Nano-Banana results?
FlyMy.AI CRAFT approach makes it happen.
“Thinking mode” already boosted language models to a new quality tier. Our latest research at FlyMy.AI shows the same approach works in the visual domain.
With CRAFT we introduced a reasoning loop to image-to-text and image-to-image tasks and saw two clear effects:
- Large Image models became even more context-aware and precise.
- Smaller Image models improved by several multiples—reaching the performance of big, expensive systems while keeping inference costs low.
denti•1h ago
Can we achieve accuracy of Flux.Dev with Flux.Schnell, or can we get even sharper Nano-Banana results? FlyMy.AI CRAFT approach makes it happen.
“Thinking mode” already boosted language models to a new quality tier. Our latest research at FlyMy.AI shows the same approach works in the visual domain.
With CRAFT we introduced a reasoning loop to image-to-text and image-to-image tasks and saw two clear effects:
- Large Image models became even more context-aware and precise. - Smaller Image models improved by several multiples—reaching the performance of big, expensive systems while keeping inference costs low.