With the permission of @ORAKUL_STUDIO I am posting these variants of the model located here - <a target="_blank" rel="ugc" href="https://civarchive.com/models/2942239/flux2-dev-aivazovsky-xxi-rank-1280-experimental-lora-8b-parameters">https://civarchive.com/models/2942239/flux2-dev-aivazovsky-xxi-rank-1280-experimental-lora-8b-parameters</a>These are smaller version using SVD optimization.Three models 99.95%, 99.5% and 99% retained.This was done as an experiment, if you'd like to donate please donate to @ORAKUL_STUDIO for as the only work done by me is running a customized script to compress the model. (I don't want donations for this.)Heatmap image compare shows that the 99% is actually more accurate to the original than 99.5% and 99.95%.. Here are the heatmaps. The less red the better.90.00% &lt;- Closest matching by far.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7408ab11-daee-43a4-ab5b-b86df28f695f/original=true/7408ab11-daee-43a4-ab5b-b86df28f695f.jpeg" />95.00%<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3aff914b-ea41-47bf-b2f2-bbae0d9dc45f/original=true/3aff914b-ea41-47bf-b2f2-bbae0d9dc45f.jpeg" />99.00%<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/64c1e6bd-6274-49ff-acbc-c4cb90728af8/original=true/64c1e6bd-6274-49ff-acbc-c4cb90728af8.jpeg" />99.50%<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/99261bb0-f844-45b1-8892-abb597a9cc10/original=true/99261bb0-f844-45b1-8892-abb597a9cc10.jpeg" />99.95%<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0830d81e-98c5-4bf8-8949-dd2b894e5a04/original=true/0830d81e-98c5-4bf8-8949-dd2b894e5a04.jpeg" />A different analysis confirms that 99% is closer to the original.An "Absolute difference" at 0% meaning even if it's a color difference of 1, (say original is 255x255x255 and the reduction is 255x255x254 it counts)90.00% 22794 Error Delta 95.00% 26182 Error Delta 99.00% 24392 Error Delta 99.50% 24628 Error Delta 99.95% 25199 Error DeltaTo give you an idea - There is 4,227,072 pixels on this image. And this is say that 22794 are different compared to the original. A 0.54% difference.It's very clear that certain optimizations are more accurate, and you basically need to hunt and fish for the right one. The fact that a model that is 13GB smaller produces an image that is just 0.54% difference shows that optimization is something to consider.I am not sure why 90% is so much more accurate than the 99.95%It's sooo close that on visual compare, it's 100% color shade. There is no items missing like at the 99.5% it completely removed a chimney... At the 99.95% the window is shorter...The 99% has 1 extremely small, and can only be seen when you zoom in. That red bar in the middle of the image is a 1 pixel height short run of the, I'm guess a wall. It basically straightens it out from the original. The original is not straight LOLRecommended Settings: ParameterValue Base Model FLUX.2 Dev (~8B)LoRA Weight 1.0CFG Range 0.0(Classic/Glazing) 3.5(Detailing)Sampler: dpmpp_3m_sde_gpuScheduler: linear_quadraticSteps | 30 – 60Prompt Prefix oil painting,

FLUX.2 Dev - AI_vazovsky XXI (SVD)

Original Size: 14880.06 MB99.95% - New Size: 12818.67 MB (13.9% smaller)99.50% - New Size: 7846.27 MB (47.3% smaller)99.00% - New Size: 5835.37 MB (60.8% smaller)95.00% - New Size: 1672.72 MB (88.8% smaller)90.00% - New Size: 660.88 MB (95.6% smaller) &lt;- Highest retention as well.

r1280f2aivazovsky_000000100_99.50pct_retained.safetensors

r1280f2aivazovsky_000000100_99.95pct_retained.safetensors

Files with SHA256: 2cfe5bf0ae69905d5389468045a2b25ad027a7c35be9d4c21b7e3a64196a0cb5