Training a LORA with one single Snowflake image.
(it does not have to be lora)
Train the model with only snowflake images from a distance and trying to
create img2img its zoomed version. (the target image).
Do not add the target image into data set.
You will have that image to compare it with the results that created.
Try to make model create the target image.
After model produces the right picture, proceed with that seed.
This is similar to the lottery. if you play all the numbers one of them will definitely win.
One of the settings or seeds must provide that photo.
Find the seed and setting that can predict the target image exactly or very close to the original.
By using the smallest snowflake image, image to image try to create the target image.
The closest snowflake image will not be shared with model training set.
Model will create that image on its own.
I hope you understand me
SDXL img2img Super Resolution
Attached target image and training images.
Good Luck. Feel free to ask any question