Create yaml wildcard from loras directory

Step-by-Step Usage:

1. Download the python file where you want

2. If it is the by_filename

   In the Stable Diffusion parameters change refer to Lora by Filename. By this way there is no chance to encounter lora name errors !

3. Running Time:

   Execute with:

   python loras_to_yaml_wildcard.py
   OR
   python loras_to_yaml_wildcard_by_filename.py

   Choose the directory with the loras inside (a directory with subdirectory, see the example)

4. Running a second time:

   Same running time but you can use the precedent path to the loras directory

Specifications:

If there is a ".json" file associates with the lora, the positive prompt and the weight are taken from this one.

By default the positive prompt is "" and the weight is 1.

Concerning a possible rename, the name of activation is taken in the ".civitai.info" file if it exists.

By the way, a weight of 0 is set automatically to 1.

Example:

Suppose you have the following directory structure:

Lora/
├── characters
|    ├── lora1.safetensors
|    └── lora2.safetensors
├── positions
|    ├── lora1.safetensors
|    └── lora2.safetensors
├── styles
|    └── lora.safetensors
└── sliders
    ├── lora1.safetensors
    └── lora2.safetensors

The output loras.yaml will produce a YAML file structured like this: (the bracket doesn't exist)

loras:
  characters:
    - <lora:{lora_name}:{weight}> {positive_prompt}
    - <lora:{lora_name}:{weight}> {positive_prompt}
  positions:
    - <lora:{lora_name}:{weight}> {positive_prompt}
  styles:
    - <lora:{lora_name}:{weight}> {positive_prompt}
    - <lora:{lora_name}:{weight}> {positive_prompt}
  sliders
    - <lora:{lora_name}:{weight}> {positive_prompt}

Troubleshooting:

• Ensure that all required libraries (pyyaml, tqdm, and tkinter) are installed. You can install any missing libraries using pip.

• If you encounter issues, try running the script with administrative privileges to ensure it has the necessary permissions to read and write files.