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@@ -16,7 +16,7 @@ This is an Object Removal LoRA fine-tuned from Flux Fill Dev model. \
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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 any interested in and want to sponsor the computing power, please contact me.
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  ## Intended Use
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@@ -29,8 +29,9 @@ This model is intended for non-commercial use only, as per the FLUX.1 [dev] Non-
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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