(2/6)The tricky part is keeping our character consistent while applying variations.
So let's do just that. Copy the URL of the initial image (ensure to open it on browser first), use /imagine prompt:, and then paste the same prompt as before. But let's add a little modification
(3/6) Now, do the same, maintaining the original image url, but modifying his status. Lets say... bowing!
(4/6) And keep going on! Now Jimmy is prepared to run
(5/6) We can also add accesories, such as sunglasses
(6/6) I know the results can be improved, but certainly this can greatly accelerate the process of designing characters, animations... Give it a try and let me know!😊
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This is the best combo for total consistency with AI.
Kling O1 + Nano Banana Pro
Here’s everything you need to know to get it on Higgsfield 👇
Just a few hours after its release and @higgsfield_ai has already integrated Kling O1 into its suite, the omnireference model that lets you achieve video consistency like never before.
Let’s get started 👇
First thing we’ll do is generate our character.
I found that this grid prompt for Nano Banana Pro is perfect, you upload a pic of someone and it gives you 4 shots from different angles, which we’ll use right after.
The prompt is super long, so I’ll drop it in a screenshot.
Flux 2 just dropped and it's already the alternative to Nano Banana Pro!
I tested both models across 11 different scenarios using extreme prompts in LTX, which one comes out on top?
Let’s break it down in this thread 🧵
1. How would a 5 year old kid draw a portrait of Steve Buscemi?
Unless that kid’s name is Picasso, I’d say the second option (Flux) is way closer, it did a much better job figuring out the kind of lines it should use!
The prompt’s in the screenshot.
Nano Banana 0 - 1 Flux 2.0
2. What if he were a character being hunted by the Spanish Inquisition?
Once again, the second option takes the win. Nano Banana made him look way too good!
Another point for Flux. Prompt’s in the screenshot.