Can AI Eat Ramen?


Hot! Watch out for burns.
Introduction
Hello, this is Easygoing.
Today, I’m introducing the hotly discussed AI Ramen Problem in the AI illustration world.
What is the AI Ramen Problem?
In the early days of AI image generation (around October 2022), it became a topic of discussion that "AI struggles to depict people eating ramen properly!"
This issue was brought up about two years ago, but how does it stand today?
Stable Diffusion XL
First, let’s try with Stable Diffusion XL, the tool I primarily use (from July 2023 onwards).



Stable Diffusion XL struggles to depict someone eating ramen properly.
Udon and Soba Face Similar Issues
It’s not just ramen. The same problem occurs with udon and soba noodles.


The Core Issue: Bias in Training Data
Image generation AI learns from a massive dataset of images. One of the most commonly used datasets, such as LAION-5B, includes billions of images sourced from Pinterest, WordPress, Blogger, Flickr (Yahoo-related), and more.
AI learns to associate weights between images and related text, generating outputs that align closely with the input text.
Scarcity of Specific Images
Even with a vast dataset, narrowing conditions reduces the number of relevant images.
- All images ⊇ Food-related images ⊇ Images of chopstick use ⊇ Images involving noodles
Images of people eating ramen with chopsticks become scarce, and capturing the precise moment of slurping ramen is almost non-existent due to cultural etiquette.
When AI cannot learn from accurate examples, it’s more likely to produce strange outputs.
How Do Other AIs Perform?
Let’s test other AIs, like Adobe Firefly Image3 (from April 2024).


Firefly performs much better, though the chopstick handling is still slightly off. Unlike LAION-5B, Firefly uses datasets from copyright-free images and Adobe Stock, providing high-quality training data.
For instance, if a user uploaded a ramen-eating photo series to Adobe Stock, AI could learn effectively from such quality inputs.
Flux.1’s Performance
How about testing Flux.1, the latest AI released in August 2024?


Flux.1 handled the task impressively! While its training data isn’t disclosed, it might include proprietary datasets supplementing LAION-5B.
Imagen 3 by Google
Google Imagen, trained using Google Photos, boasts immense data volume.


The result? Absolutely perfect.
Bonus

