Exploring Googles Nano Banana AI - Gemini 2.5 flash preview

 Below are images from my prompts, while exploring Googles Nano Banana AI - gemini 2.5 flash image preview. The prompt ideas were from an Instagram post l saw, l will post the link below.

I took a picture of myself, and entered the first prompt below.

Result

Not bad. Then:

Below took 161.1 seconds and the system crashed.

I reentered the words, this time in quotes. Enugu is the name of the city where l was born.

Result in 227.1 seconds

Then l tried a merge: The image generated wasn't impressive as per the positioning of the can. 

I gave my feedback to Gemini/google system on this and decided to rerun the prompt.

In 98.6 seconds l got:

Which looks much more better! 

Hugging Face - Upgrade to Xet

I received an informational email on - Hugging face upgrading the Hub's storage backend from Git LFS to Xet. It stated that "Xet is our chunk-based backend that already powers 50% of all Hub downloads and serves the Llama, Qwen, Gemma, and Phi model families."

Xet Documentation link:  https://huggingface.co/docs/hub/en/storage-backends#using-xet-storage

Command given:

pip install -U huggingface_hub

Output:

Meet Sohu, the fastest AI chip of all time

 It will be interesting to see how far progress is made on this SOHU chip.