Candid Instax Photo - SDXL
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<lora:Candid_Instax_PhotoSDXL:1> Candid Instax Photo
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For the best Instax Mini look, use resolutions close to the 62×46mm proportions such as 1264×944 or 944×1264.
The LoRA performs well across various aspect ratios, but focusing on the Instax Mini portrait format ensures consistent, signature framing.
Look forward to future versions supporting Square and Wide formats, and a true v2 combining all formats in one LoRA.
Candid Instax Photo
I set out to capture the unique aesthetic of instant film photography, specifically emulating the Fujifilm Instax Mini format. Most images in the dataset follow its signature 62×46mm proportions (≈4:3 ratio), optimized for 1264×944 and 944×1264 generations.
You can also use 1152×896, 896×1152 (632×472 for SD1) to stay true to the Instax Mini look, but the LoRA performs well across various aspect ratios.
Built around candid, spontaneous moments, this LoRA recreates the soft focus, flash-heavy lighting, and gentle color shifts typical of Instax film.
Perfect for generating nostalgic snapshots with a modern twist — like fleeting memories printed and preserved.
Mini version Update:
I initially began work on a new version by greatly expanding the dataset — adding a wide range of nature scenes, landscape and cityscape shots, as well as various lighting conditions (Golden Hour, Neon, Overhead Flash, Deep Shadows) and camera angles (mirror selfies, top-down views, over-the-shoulder shots).
But at some point, I realized that nearly all the images I really liked shared one thing in common - Instax Mini portrait format and its distinctive signature framing.
So instead of pushing forward with a full V2 with all kind of formats, I decided to make a major change and created this specialized "Instax Mini" version, focused only on that unique format. For now, I’ve removed all other aspect ratios from the dataset to keep things clean and consistent.
The recommend aspect ratio close to 1:1.6 like 1376×864, 1024 x 600, 688 x 432
Expect more versions in the future as I want to add dedicated "Square" and "Wide" format datasets + a true v2 that will support all 3 formats in 1 LoRA :)
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