This is an Object Removal LoRA fine-tuned from Flux Fill Dev model.
The lora is designed to remove objects from specified masked areas, making it useful for image editing tasks where unwanted objects need to be erased seamlessly.
This lora is inspired by
Object Drop
. Object Drop achieved amazing result on removing objects and I want to try it with Flux fill model.
Due to the computing power limitation, this alpha version only trained on very small dataset.
If anyone interested in and want to sponsor the computing power, please contact me.
Intended Use
This model is intended for non-commercial use only, as per the FLUX.1 [dev] Non-Commercial License.
Limitations
Non-Commercial Use Only
: This model is restricted to non-commercial applications. Any commercial use is prohibited under the FLUX.1 [dev] Non-Commercial License.
Large Masked Area
: The model may struggle with large masked area.
How to Use
To use this model, you need to provide an image and a corresponding mask indicating the area where the object should be removed. The model will then generate an edited image with the object removed.
Using Flux Fill as base model and load the lora.
Training Data
The model was fine-tuned on a small dataset of images with corresponding masks, focusing on object removal tasks. The dataset includes various objects and scenes to ensure robust performance.
License
This model is licensed under the
FLUX.1 [dev] Non-Commercial License
. You are free to use, modify, and distribute the model for non-commercial purposes. Commercial use is strictly prohibited.
Citation
If you use this model in your research or projects, please cite it as follows:
bibtex
@misc{object-removal-lora,
author = {lrzjason},
title = {Object Removal LoRA of Flux Fill Dev},
year = {2025}
}
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