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Stereoscopic-SBS-3D-Image Lora (Flux2 Klein 9B)

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1 variant available

SafeTensor

158.03 MB

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Type

LoRA

Stats

148

0

Reviews

Published

Jun 21, 2026

Base Model

Flux.2 Klein 9B

Hash

AutoV2
A30EEE1A24

Trigger Words

SBS_Stereo_img SBS_Stereo_img. stereogram. SBS_Stereo_img SBS_Stereo_img. stereogram. Two images side by side with the exact same width. On the left: image1 (keep the image1 exactly the same). On the right: slightly shifted second image with slightly rotated perspective.

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.

About this Lora:

This Lora will create side by side images creating the illusion of stereoscopic vision by creating left and right images of either reference images.

Where it shines:

• Aspect ratios: 1:1 / 3:4 / 4:3 / 9:16

• close-up shots and Portraits

• realistic images / Photos (pretty decent at some 2d Styles)

What it struggles with:

• Aspect ratios: Anything exceeding 4:3 (i.e 16:9 and widescreen)

• Completely black areas that are supposed to be black objects

• Strongly postprocessed unrealistic photos

Testing:

• Pretty stable at a range from 2.00 - 2.50 (strength)

Caution:

This Lora was trained on NSFW Stereoscopic-3D Images.

Be aware that cranking up the Lora's strength can result in naked

body horror surprises (not the pleasant kind).

Promt advise:

SBS_Stereo_img SBS_Stereo_img.

stereogram.

SBS_Stereo_img SBS_Stereo_img.

stereogram.

Two images side by side with the exact same width.

On the left: image1 (keep the image1 exactly the same).

On the right: slightly shifted second image with slightly rotated perspective.

Example Workflow:

https://civitai.red/models/2720656/stereoscopic-sbs-3d-image-workflow-flux2-klein-9b

Further Versions:

I might continue training, as i have some ideas how to improve this thing.

But still, the way this Lora works feels like a workaround, as it creates a

sbs-Image instead of an same-sized image for the other eye.

The way I trained it right now requires a workflow handling the additional

image space needed.

How did you train your sbs Loras? Please contact me.