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Justine Moore

@venturetwins

Feb 26

Nano Banana 2 is out.

I had early access for the past few days, and tested it across a ton of prompts.

It's leveled up for a bunch of use cases - infographics, ads, action shots, even cartoons. And it's crazy fast!

Some styles + prompts you should try 👇

1) Infographics

NB Pro was a big upgrade for this - but sometimes the text would get strange or the information wasn't accurate.

NB 2 can generate long, detailed infographics incredibly fast by leveraging Google search.

E.g. "make a guide for Americans riding public transit in Japan" or "explain how McDonald's ice cream machines work and why they break"

2) Action shots

Sports photography has historically been difficult for AI image models - the little details of muscle and physics of movement are challenging.

NB 2 is surprisingly good at this. Some of the shots even looked like ads, so I asked the model to write overlays.

Read 11 tweets

Justine Moore

@venturetwins

Jan 14

Fun experiment: you can now automate content production with Claude Cowork.

I gave Claude a browser and asked it to:
1) Find a NeurIPS best paper
2) Write a thread on it
3) Generate graphics on Krea
4) Validate its work with ChatGPT.

Shockingly, it worked! How to do it 👇

You start in the "Cowork" tab in the desktop app.

Claude will open a browser and search, so you can give a vague or very specific prompt (like I did) and it will find context.

I mentioned I wanted image gen on Krea because I got sick of watching Claude search random sites 😂

In terms of the actual written content - answer Claude's Qs about who your audience is + how long it should be.

This will heavily influence results!

It will then browse the relevant sources and open up an internal scratchpad to save down insights and start drafting the thread.

Read 5 tweets

Justine Moore

@venturetwins

Dec 28, 2025

My favorite paper this year: "Video models are zero-shot learners and reasoners"

It illustrates that video models show emergent visual reasoning at scale - they can solve vision tasks they weren't trained for.

This may be the "GPT moment" for vision. Let's break it down 👇

To start - why believe that video models might develop visual reasoning?

A similar thing happened in text. We used to train specific models for each task - but now, LLMs have general language understanding and can tackle lots of tasks that they weren't explicitly trained for.

It's feasible that video models may do the same at scale.

This paper measured 18k+ videos generated by Veo 3 across both qualitative and quantitative tasks.

It found that Veo can perceive, modify, and manipulate the visual world (starting from image + text prompts) - showcasing early reasoning skills that it wasn't explicitly trained for.

We'll tackle each category one-by-one.

Read 10 tweets

Justine Moore

@venturetwins

Dec 14, 2025

There's an insane new hack for prompting Nano Banana Pro.

You can now save image references as "Elements" and tag them in prompts to get consistent characters, styles, and environments.

I used it to put myself into Ghibli sets. How to do this on @krea_ai 👇

@krea_ai First, define your Elements. I used:

- Me (tagged @ justine)
- An image of each scene I wanted (tagged @ ghibli)
- The type of photo (tagged @ selfie)

Then prompt things like - "@ justine taking an @ selfie style image on set of @ ghibli Spirited Away"

A few things to note:

1) Elements PERSIST across chat sessions. So I can start a new chat and tag "@ justine" and it will work!

2) You can also give context to the model. I usually provide a description of the goal.

3) The model can reason within the Elements. So I can tag "@ Ghibli" + the movie name and it will find the right frame.

Read 5 tweets

Justine Moore

@venturetwins

Nov 20, 2025

I had early access to Nano Banana Pro and tested a LOT of things.

Now I'm sharing some of my favorite prompts + use cases.

This is a really cool model, and there's a lot to explore 👇

1) Grounding image generation with search.

The model can now search Google and use the results to guide generation (w/ impressive long-form text rendering).

"an X screen showing the most popular tweets of all time"
"a flyer with 3 places chocolate lovers should visit in Paris"

2) Technical drawings or illustrated explainers.

The model is really good at taking a picture of an object or location and turning it into a sketch or explainer.

Ask for "a technical sketch / architectural diagram / illustration explainer of _______"

Tip: use Gemini 3 to write a more detailed prompt if you want all the measurements to be accurate.

Read 8 tweets

Justine Moore

@venturetwins

Sep 22, 2025

New tool to swap characters in a video: Wan 2.2 Animate

Spent a few hours testing it out this weekend and have some thoughts on strengths + weaknesses.

It's particularly strong at videos like this where you need to replicate lip sync and body movement. Other tips ⬇️

First - the driving video needs to have a single character facing forward the entire time.

I had a bunch of failed generations because of this.

The clip below is the furthest away I got the character + it still worked. But as you can see, there's some warping.

It won't 100% maintain the character you're swapping in.

Particularly in cases like this, where the driving character has longer hair than the ref image, you'll get some "mixing." Faces also blended a bit.

(most AI influencers won't show the ref photo so you won't see this!)