This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe HunyuanRefinerLatent node processes conditioning and latent inputs for refinement operations. It applies noise augmentation to both positive and negative conditioning while incorporating latent image data, and generates a new latent output with specific dimensions for further processing.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
positive | CONDITIONING | Yes | - | The positive conditioning input to be processed |
negative | CONDITIONING | Yes | - | The negative conditioning input to be processed |
latent | LATENT | Yes | - | The latent representation input |
noise_augmentation | FLOAT | Yes | 0.0 - 1.0 | The amount of noise augmentation to apply (default: 0.10) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
positive | CONDITIONING | The processed positive conditioning with applied noise augmentation and latent image concatenation |
negative | CONDITIONING | The processed negative conditioning with applied noise augmentation and latent image concatenation |
latent | LATENT | A new latent output with dimensions [batch_size, 32, height, width, channels] |