🙈 How marketing teams use AI

AI-HOI AInauts,

Welcome to the latest issue of your favorite newsletter. Today we're getting right into it, here's what we have in store for you:

• 🇪🇺 How marketing teams use AI

• 🤳 How to combine multiple trained image AIs

• 📱 The best feature of Apple Intelligence

Let's go!

🇪🇺 How marketing teams are successfully using AI

Let's start this issue with a very exciting study conducted by LinkedIn and our partner HubSpot.

The study examined the extent to which European marketing teams are already using AI and in which areas.

With very interesting results.

Many companies are already using AI to achieve greater customer satisfaction and have even been able to increase their returns.

How do they do it? Through the targeted use of AI in marketing! The report breaks this down even further.

The regional profiles are also interesting. There are clear differences between the Nordic countries and Germany, for example.

Compared to other countries, German companies do not yet see a general increase in returns. However, the outlook for the coming year is much more positive.

As is so often the case, strategic backing is sometimes lacking at management level.

Finally, the report also looks at specific measures, for example how best to use AI in marketing and what is needed to really roll it out profitably.

But we don't want to give too much away. Just get the whole 46-page study, completely free of charge, here:

And yes, we know the report is in German and you might not be able to read it. But don’t we have AI that can just translated the whole thing? Yes, we do - and the file upload feature from Deepl.com (a German company, btw) makes it a breeze.

We find it super exciting to get a look behind the scenes at how other European companies are tackling the issue and how successful they are with it.

🤳 How to combine several trained image AIs

We received a lot of feedback on our Deep Dive on the topic of "Train a image AI of yourself".

Thanks for that, and congratulations to the many AInauts who successfully trained their own model (LoRA)!

We have also received some questions about how to combine several models.

That's why we're going into more detail today on how to find LoRAs. (If you have no clue what we're talking about, please read the first deep dive here).

So, the cool thing is that you can train the image model FLUX not only on people, but also on many other things. Animals, styles, objects, products and even fonts are possible.

The process is always the same.

Here, for example, is a LoRA that was trained to create half real, half illustration images:

Or here is one that has been trained in the style of tarot cards:

Or how about pictures of a rainy Tokyo at night?

The possibilities are almost endless! So let's be clear: you can train LoRAs for all kinds of things.

Combining different LoRAs

Now we come to the exciting topic. You can combine several LoRAs and create corresponding images from them.

Thanks to Replicate and the Flux-Dev-Multi-LoRA model, the whole thing is super easy. Let's take our AInauten influencer AIlexa as an example:

For example, we can now combine the AIlexa LoRA with one of the LoRAs from above - for example with the Tarot LoRA.

To do this, first store the two Hugging Face paths here:

And now comes the most important step: you must address both LoRAs in your prompt with the corresponding trigger words.

For AIlexa, the trigger word we have defined is "ailexa" and for the tarot model you can see the trigger word in the example images - in this case "a trtcrd, tarot style".

If we combine these two trigger words, a possible prompt could then look like this:

The result? Here's our AIlexa, giving a talk in tarot card style:

Sure, with a style like this, it's no longer so easy to recognize. But woman, brown hair etc. This seems right.

Here is another example when we combine AIlexa with the half illustration LoRA:

Cool, isn't it? The whole thing works super simply, quickly, inexpensively and without a subscription.

Here is the prompt for the picture above:

In the style of TOK, a photo editorial avant-garde dramatic action pose of ailexa wearing 90s round wacky sunglasses pulling glasses down looking forward, in Tokyo with large marble structures and bonsai trees at sunset with a vibrant illustrated jacket surrounded by illustrations of flowers, smoke, flames, ice cream, sparkles, rock and roll

How do I find other LoRAs?

Finally, a few quick tips on how to find other LoRAs. You don't want to have to train everything yourself, do you? There are essentially three good sources for this:

1) Hugging Face

Simply go to Models, Text-to-Image and enter "Flux" in the search bar. We need LoRAs that have been trained with the Flux model.

And lo and behold, you will find a long list of over 1000 exciting LoRAs, which you can sort by trending, etc.

2) Replicate

Of course, there are also many LoRAs on Replicate. This is practical because you can use them directly, and also via the API interface if you want to use them in automation.

The procedure is the same again: Explore - Search Flux - Find LoRAs.

3) Civit AI

We have saved the most extensive collection until last. You can find incredible LorRAs on Civit AI.

It is also important to filter here:

Simply select LoRA under Model Types and Flux 1.0 under Models. You can then also use these LoRAs on Replicate (you can also find examples there in the "Examples" tab).

That's all for today. In the next part, we'll take a look at how you can use LoRAs in your automations.

📱 The best feature of Apple Intelligence

Yes, the new iPhones were unveiled this week.

Of course, there are also a lot of AI updates that we could write about.

But we'll save ourselves that. Instead, we'll point out an interesting feature 😉:

Some people are already true masters at occasionally switching to "selective hearing". Perhaps technology will also help us to remain undisturbed even more efficiently in the future, if desired.

That's it! Thank you for joining us.

Reto & Fabian from the AInauts

P.S.: Follow us on social media - that motivates us to keep going 😁!
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