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Replace Scene [Klein 9B]

0

Updated: Apr 4, 2026

tool

Verified:

SafeTensor

Type

LoRA

Stats

122

0

Reviews

Published

Apr 4, 2026

Base Model

Flux.2 Klein 9B-base

Training

Steps: 3,000

Usage Tips

Strength: 1.5

Trigger Words

replace the background in Image 1 with the scene in Image 2

Hash

AutoV2
12020221C1

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.

Allows you to replace the background scene in the first control image with the background scene depicted in the second control image.

This model is capable of reorienting the camera angle shown in the background to match the one in the original image, but for best results, try to have comparable framing & camera angle.

replace the background in Image 1 with the scene in Image 2

Model Comparisons:

  • Copy Pose will preserve the subject and background in Control 1, while bringing the framing/pose of Control 2

  • Replace Subject will preserve the framing/pose and background in Control 1, while bringing the subject of Control 2

  • Replace Scene will preserve the subject and pose in Control 1, while bringing the background scene of Control 2

California AB 2013 Training Data Disclosure

  • This LoRA was fine-tuned using visual data consisting entirely of synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.

  • The dataset consists of over 100 image sets (over 300 images total). This is the total used for training after low quality sets were culled. Dataset was created in 2026.

  • Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset.

  • This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.