Update README.md
This commit is contained in:
@@ -7,7 +7,7 @@ A custom node extension for ComfyUI that allows mixing multiple models during th
|
||||
ComfyUI-MixMod provides a powerful way to combine multiple models during stable diffusion sampling. This extension introduces two primary mixing modes:
|
||||
|
||||
- **Team Mode**: Combines multiple models by weighted averaging of their predictions and applying their respective guidance scales.
|
||||
- **2Model FFT Mode**: Splits the frequency domain between two models, using one model for low frequencies and another for high frequencies.
|
||||
- **2Model FFT Mode**: (EXPERIMENTAL) Splits the frequency domain between two models, using one model for low frequencies and another for high frequencies.
|
||||
|
||||
## Features
|
||||
|
||||
@@ -105,19 +105,6 @@ Here's a simple workflow to mix two models:
|
||||
Image
|
||||
```
|
||||
|
||||
### Frequency Split Mixing (2model_fft)
|
||||
|
||||
For frequency domain splitting:
|
||||
1. Create two "MixMod Guider Component" nodes
|
||||
2. Connect different models to each component
|
||||
3. Use the weight of the first model to control the frequency split point
|
||||
4. Set the mode to "2model_fft" in the "MixMod Guider" node
|
||||
|
||||
## How It Works
|
||||
|
||||
- **Team Mode**: Combines multiple models by computing a weighted average of their unconditioned predictions, then adds the guided differences according to each model's CFG value.
|
||||
- **2model_fft**: Transforms predictions to the frequency domain using FFT, applies the first model to low frequencies and the second model to high frequencies based on a split ratio derived from the first model's weight.
|
||||
|
||||
## Compatibility
|
||||
|
||||
- This extension is compatible with ComfyUI version 1.0.0 and above
|
||||
@@ -134,7 +121,3 @@ For frequency domain splitting:
|
||||
## Credits
|
||||
|
||||
Created by Kantsche
|
||||
|
||||
## License
|
||||
|
||||
[Add license information here]
|
||||
Reference in New Issue
Block a user