ComfyUI Node: NNT Define Activation Layer
Category
NNT Neural Network Toolkit/Layers
Inputs
activation_type
- None
- ELU
- GELU
- GLU
- Hardshrink
- Hardsigmoid
- Hardswish
- Hardtanh
- LeakyReLU
- LogSigmoid
- MultiheadAttention
- PReLU
- ReLU
- ReLU6
- RReLU
- SELU
- CELU
- Sigmoid
- SiLU
- Softmax
- Softmax2d
- Softmin
- Softplus
- Softshrink
- Softsign
- Tanh
- Tanhshrink
- Threshold
inplace
- True
- False
negative_slope FLOAT
num_parameters INT
alpha FLOAT
LAYER_STACK LIST
Outputs
LIST
Extension: ComfyUI Neural Network Toolkit NNT
Neural Network Toolkit (NNT) for ComfyUI is an extensive set of custom ComfyUI nodes for designing, training, and fine-tuning neural networks. This toolkit allows defining models, layers, training workflows, transformers, and tensor operations in a visual manner using nodes.
Authored by inventorado
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