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FLUX.2 Dev - AI_vazovsky XXI (SVD)

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5 variants available

Type
LoRA
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Published

Sep 17, 2026

Base Model

Flux.2 D

Training
Steps: 100
Epochs: 20
Usage Tips
Strength: 1
Hash
AutoV2
68B5305BD2
Trigger Words
r1280f2aivazovsky
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The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

ComfyUI_temp_igrqf_00001-9_.png

With the permission of @ORAKUL_STUDIO I am posting these variants of the model located here - https://civitai.red/models/2942239/flux2-dev-aivazovsky-xxi-rank-1280-experimental-lora-8b-parameters

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% <- Closest matching by far.

95.00%

99.00%

99.50%

99.95%

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 Delta

To 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 LOL

Recommended Settings: Parameter

Value Base Model FLUX.2 Dev (~8B)

LoRA Weight 1.0

CFG Range 0.0

(Classic/Glazing) 3.5

(Detailing)

Sampler: dpmpp_3m_sde_gpu

Scheduler: linear_quadratic

Steps | 30 – 60

Prompt Prefix oil painting,