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README.md
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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. \
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This lora is inspired by [Object Drop](https://objectdrop.github.io/). Object Drop achieved amazing result on removing objects and I want to try it with Flux fill model. \
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Due to the computing power limitation, this alpha version only trained on very small dataset. \
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## Intended Use
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## How to Use
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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.
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Training Data
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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.
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## License
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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. \
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This lora is inspired by [Object Drop](https://objectdrop.github.io/). Object Drop achieved amazing result on removing objects and I want to try it with Flux fill model. \
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Due to the computing power limitation, this alpha version only trained on very small dataset. \
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If anyone interested in and want to sponsor the computing power, please contact me.
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## Intended Use
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## How to Use
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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.
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Using Flux Fill as base model and load the lora.
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## Training Data
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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.
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## License
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