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Update README.md

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@@ -86,7 +86,7 @@ Configuration parameters:
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  - `data_dir`: Path to store the test dataset
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  - `cli_save_dir`: Path to save results from command-line interface experiments
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  - `gradio_save_dir`: Path to save results from Gradio interface experiments
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- - `gradio_temp_dir`: Path to save temporary files.
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  - `base_model_path`: Path to the base model FLUX.1-Fill-dev
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  - `image_encoder_path`: Path to the SigLIP image encoder model
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  - `calligrapher_path`: Path to the Calligrapher model weights
@@ -97,19 +97,19 @@ Configuration parameters:
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  # Basic Gradio demo
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  python gradio_demo.py
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- # Demo with custom mask upload (recommended for first-time users)
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- # This version includes pre-configured examples and is recommended for users to first understand how to use the model
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  python gradio_demo_upload_mask.py
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  ```
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  ## 🎨 Command Line Usage Examples
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- ### Self Customization
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  ```bash
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  python infer_calligrapher_self_custom.py
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  ```
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- ### Cross Customization
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  ```bash
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  python infer_calligrapher_cross_custom.py
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  ```
 
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  - `data_dir`: Path to store the test dataset
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  - `cli_save_dir`: Path to save results from command-line interface experiments
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  - `gradio_save_dir`: Path to save results from Gradio interface experiments
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+ - `gradio_temp_dir`: Path to save Gradio temporary files
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  - `base_model_path`: Path to the base model FLUX.1-Fill-dev
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  - `image_encoder_path`: Path to the SigLIP image encoder model
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  - `calligrapher_path`: Path to the Calligrapher model weights
 
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  # Basic Gradio demo
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  python gradio_demo.py
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+ # PLEASE consider trying examples here first - demo with custom mask upload (recommended for first-time users)
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+ # This version includes pre-configured examples and is RECOMMENDED for users to first understand how to use the model
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  python gradio_demo_upload_mask.py
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  ```
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  ## 🎨 Command Line Usage Examples
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+ ### Self-reference Customization
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  ```bash
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  python infer_calligrapher_self_custom.py
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  ```
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+ ### Cross-reference Customization
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  ```bash
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  python infer_calligrapher_cross_custom.py
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  ```