Tired of the plastic, airbrushed, and overly stylized "perfect AI" look? This LoRA is designed specifically to inject authentic, casual smartphone photography characteristics into your generations. Trained natively on the Krea-2 RAW base model using high-resolution, naturally captioned amateur snapshots, it perfectly captures the micro-textures and beautiful imperfections of everyday phone cameras.
Key Aesthetic Features
Realistic Camera Artifacts: Captures natural low-light digital noise, sensor grain, soft-focus highlights, and lens smear.
Authentic Lighting Behavior: Natively handles tricky lighting scenarios like harsh indoor flash, mixed ambient light, and organic backlighting lens bloom (perfect for window shots and mirror selfies).
Casual Compositions: Excellent at framing natural casual poses, mirror reflections, and everyday street photography without looking forced or studio-lit.
How to Use My Suggested Resources (Below)
To get the exact results shown in the preview images, make use of the resources linked at the bottom of this page:
Base Model: Load up Krea 2 Raw for the rawest photographic detail and grain behavior.
Workflow: For an optimized ComfyUI setup, grab the PhotoFlow workflow attached below.
Turbo Speed: If you want to run rapid multi-step generations, you can stack this model alongside the linked Krea 2 Turbo LoRA.
Generation Guidelines
Core Parameters
Trigger Word:
r3alismLoRA Weight:
1.0 - 1.25(Start at1.0for the perfect balance of texture and flexibility).
Prompting Strategy
This LoRA thrives on natural language descriptive paragraphs rather than simple tag lists. Explicitly describe the imperfections of the camera environment to guide the output:
For indoor snapshots:
r3alism, a casual flash mirror selfie of a woman in her bedroom, messy hair, low-light phone camera texture...For outdoor night shots:
r3alism, an amateur smartphone snapshot of a person walking on a city street at night, visible digital noise, yellow streetlamp glow...
Recommended Settings
Sampler:
EulerScheduler:
simple
If you like the results, please leave a review and share your generations below!
Description
FAQ
Comments (13)
Making some rendes and the LoRA is performing very well, thanks :)
Thank you 🙏 I’m glad you like it!
How many images did you train this on?
82-images, captioned with Qwen-3-VL, trained on Krea 2 Raw
@kotsarelos62662 Okay thank you, where did you find the images?
@MonkeyForever Pinterest
@kotsarelos62662 I see, one last question, how did you caption it, like did you just use the default captioning prompt in ai toolkit?
@MonkeyForever Nah, I didn't use the default prompt. I used a custom prompt specifically written to capture camera traits like direct flash, sensor noise, and lens glare in a clean 120-token paragraph. (Trained it over on TensorArt, but I guess the captioning concept is the same).
@kotsarelos62662 thats interesting cuz people say you shouldn't include camera stuff and "style" stuff in the caption when doing a style lora.
@MonkeyForever Honestly, I debated that exact same thing before running it.
My reasoning was just versatility. The way I see it, you tag stuff that you want tied to specific words, and leave untagged whatever you want baked in as the baseline style.
If you leave camera traits untagged, it bakes grain and harsh flash into every single picture no matter what. By tagging them, people can prompt for stuff like direct flash or sensor noise when they want that heavy look, or leave those words out if they just want a cleaner casual shot.
Just want to let you know, I tested this on NSFW loras and my own character loras and they work perfectly. I didn't even have to lower the weight!
Thank you so much.
@Tezozomoctli Thanks for letting me know, appreciate it! I specifically trained it with versatility in mind so it wouldn't crush character details or mess up other LoRAs, so hearing that it runs clean even at full 1.0 weight means a lot. Enjoy!
UwU