Comfyg Switch

Comfyg Switch is a custom node that dynamically selects model configuration parameters based on the chosen checkpoint. It reads model-specific settings from a JSON file (model_configs.json).

Inputs

• checkpoint_model: This value is used to determine which configuration to load.
• use_custom_input (BOOLEAN): Toggle between using manual inputs and automatically loaded configurations.
• steps (INT): Number of inference steps (default: 30).
• refiner_steps (INT): Number of inference steps for enhancement (default: 30).
• cfg (FLOAT): Classifier-free guidance scale (default: 7.0).
• sampler (SAMPLER)
• scheduler (SCHEDULER)

Outputs

• MODEL_NAME
• STEPS (INT)
• REFINE_STEPS (INT)
• CFG (FLOAT)
• SAMPLER (SAMPLER)
• SCHEDULER (SCHEDULER)

Example

See the file: ComfygSwitch-example.json

Contributing

Contributions and suggestions are welcome! If you encounter any issues or have ideas for improvements, please open an issue or submit a pull request on the ComfyUI GitHub repository.

License

This project is licensed under the MIT License.