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This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe FreeU_V2 node enhances image generation quality by applying frequency-based modifications to a diffusion model’s U-Net architecture. It uses configurable scaling factors to adjust feature channels in different blocks, improving output without requiring additional training.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
model | MODEL | Yes | - | The diffusion model to apply FreeU enhancement to |
b1 | FLOAT | Yes | 0.0 - 10.0 | Backbone feature scaling factor for the first block (default: 1.3) |
b2 | FLOAT | Yes | 0.0 - 10.0 | Backbone feature scaling factor for the second block (default: 1.4) |
s1 | FLOAT | Yes | 0.0 - 10.0 | Skip feature scaling factor for the first block (default: 0.9) |
s2 | FLOAT | Yes | 0.0 - 10.0 | Skip feature scaling factor for the second block (default: 0.2) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
model | MODEL | The enhanced diffusion model with FreeU modifications applied |
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