Hello, friends! 👋
Today I'm presenting RealNature – my new LoRA, dedicated to realistic landscape photography.
It all started with an old archive of photos I had collected over the years – natural views, mountains, forests, lakes, and small architectural gems like old bridges and mountain huts. I decided it was time to give these shots a new life.
I also added some digitally generated AI landscapes to enrich the variety and bring even more inspiration to the model. The result is a mix of real and digital – all brought together in this LoRA.
To activate the model, simply use the trigger word realnature in your prompt.
I hope you enjoy it and feel inspired to create beautiful landscapes. If you like it – I'd love to hear your feedback! Your support means a lot to me and keeps me inspired to continue creating.
Thank you for being here! 🏔️📸
Yours,
TOT
#RealNature #LoRA #SDXL #NaturePhotography #CivitAI
Description
FAQ
Comments (3)
In what world do these pictures represent "real nature" seriously?
In the Pony world, friend—things work a bit differently there! 😉
Now, on a serious note: the LoRA is trained on real-world nature concepts and datasets, but since it's adapted for the Pony base architecture, it takes on its unique stylized aesthetic. If you're looking for a more realistic output, try combining it with photo-centric LoRAs or adjusting your negative prompts and generation settings.
It's a classic case of someone using images from an old SDXL/Pony dataset, which worked fine for that model, but not taking into account how Krea 2 will learn often learn much more subtle imperfections / artifacting if captioning strategy didn't take that in to account. Even if captioning did take that in to account, it's just usually way easier to either enhance the image or find/create a new truly realistic photo that covers the concept. It's also hard for an author to objectively critique their own work during any self-driven QA process they may have, especially right after spending all the time creating the LoRA. It's unfortunately a common bias and happens to me as well.