411–420 of 718 posts
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This watermarking ceremony is useless. We will always have local models. Eventually the Chinese will release a Nano Banana equivalent as open source.
Qwen-Image-Edit is pretty good already: https://simonwillison.net/2025/Aug/19/qwen-image-edit/
https://generative-ai.review/2025/09/september-2025-image-ge... (non-pro Nano Banana)
Google has been stomping around like Godzilla this week, and this is the first time I decided to link my card to their AI studio. I had seen people saying that they gave up and went to another platform because it was "impossible to pay". I thought this was strange, but after trying to get a working API key for the past half hour, I see what they mean. Everything is set up, I see a message that says "You're using Paid…
If it's just the API you're interested in, Fal.ai has put Nano-Banana-Pro up for both generative and editing. A great deal less annoying to sign up for them since they're a pretty generalized provider of lots of AI related models. https://fal.ai/models/fal-ai/nano-banana-pro
While we're on this subject of "Google has been stomping around like Godzilla", this is a nice place to state that I think the tide of AI is turning and the new battle lines are starting to appear. Google looks like it's going to lay waste to OpenAI and Anthropic and claim most of the market for itself. These companies do not have the cash flow and will have to train and build their asses off to keep up with where Google already is.
gpt-image-1 is 1/1000th of Nano Banana Pro and takes 80 seconds to generate outputs.
Two years ago Google looked weak. Now I really want to move a lot of my investments over to Google stock.
How are we feeling about Google putting everyone out of work and owning the future? It's starting to feel that way to me.
(FWIW, I really don't like how much power this one company has and how much of a monopoly it already was and is becoming.)
I feel like I am going crazy or missed something simple but when I use the Gemini app and I ask it to edit a photo that I upload, 2.5 flash works really well but 2.5 pro or 3.0 pro do a very poor job. I uploaded an image of me and asked it to make me bald and flash did a great job of just changing me in the photo but 3.0 pro took me out of the photo completely and just created a headshot of a bald man that only sort…
I've tried to repaint the exterior of my house. More than 20 times with very detailed prompts. I even tried to optimize it with Claude. No matter what, every time it added one, two or three extra windows to the same wall.
It's been interesting seeing the results of Nano Banana Pro in this domain. Here are a few examples:
Prompt: "A travel planner for an elegant Swiss website for luxury hiking tours. An interactive map with trail difficulty and booking management. Should have a theme that is alpine green, granite grey, glacier white"
Flux output: https://fal.media/files/rabbit/uPiqDsARrFhUJV01XADLw_11cb4d2...
NBP output: https://v3b.fal.media/files/b/panda/h9auGbrvUkW4Zpav1CnBy.pn...
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Prompt: "a landing page for a saas crypto website, purple gradient dark theme. Include multiple sections, including one for coin prices, and some graphs of value over time for coins, plus a footer"
Flux output: https://fal.media/files/elephant/zSirai8mvJxTM7uNfU8CJ_109b0...
NBP output: https://v3b.fal.media/files/b/rabbit/1f3jHbxo4BwU6nL1-w6RI.p...
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Prompt: "product launch website for a development tool, dark background with aqua blue and neon gold highlights, gradients"
Flux output: https://fal.media/files/zebra/aXg29QaVRbXe391pPBmLQ_4bfa61cc...
NBP output: https://v3b.fal.media/files/b/lion/Rj48BxO2Hg2IoxRrnSs0r.png
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Note that this is with a lora I built for flux specifically for website generation. Overall, nbp seems to have less creative / inspired outputs, but the text is FAR better than the fever dream Flux is producing. I'm really excited to see how this changes design. At the very least it proved it can get close to a production quality for output, now it's just about tuning it.
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We are just very sharp when it comes to seeing small differences in images. I'm reminded of when the air force decided to create a pilot seat that worked for everyone. They took the average body dimensions of all their recruits and designed a seat to fit the average. It turned out, the seat fit none of their recruits. [1] I think AI image generation is a lot like this. When you train on all images, you get to this we…
What determines which “average” AI models latch onto? At a pixel level, the average of every image is a grayish rectangle; that's obviously not what we mean and AI does not produce that. At a slightly higher level, the average of every image is the average of every subject every photographed or drawn (human, tree, house, plate of food, ...) in concept space; but AI still doesn't generate a human with branches or a ho…
That isn't correct since images in the real world aren't uniformly distributed from [0, 255] color-wise. Take, for example, the famous ImageNet normalization magic numbers:
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
Google has been stomping around like Godzilla this week, and this is the first time I decided to link my card to their AI studio. I had seen people saying that they gave up and went to another platform because it was "impossible to pay". I thought this was strange, but after trying to get a working API key for the past half hour, I see what they mean. Everything is set up, I see a message that says "You're using Paid…
- On permission issue, not sure I follow the flow that got you there, pls email me more details if you are able too and happy to debug: Lkilpatrick@google.com
- On overall friction for billing: we are working on a new billing experience built right into AI Studio that will make it super easy to add a CC and go build. This will also come along with things like hard billing caps and such. The expected ETA for global rollout is January!
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Huh, can you share a link? I tried here: https://gemini.google.com/share/e753745dfc5d
https://gemini.google.com/share/79fe1a38e440