ComfyUI Node: NNT Edit Model Layers

Authored by inventorado

Created

Updated

67 stars

Category

NNT Neural Network Toolkit/Models

Inputs

MODEL MODEL
operation
  • Freeze
  • Unfreeze
  • Set weights and biases
  • Prune
  • Quantize
parameter_type
  • weights
  • biases
  • both
layer_selection
  • All layers
  • First N layers
  • Last N layers
  • Selected types
layer_types
  • Linear
  • Conv2d
  • BatchNorm2d
  • All
num_layers INT
initialization
  • random
  • zeros
  • ones
  • xavier_uniform
  • xavier_normal
  • kaiming_uniform
  • kaiming_normal
  • orthogonal
  • custom_value
custom_value FLOAT
pruning_amount FLOAT
quantization_bits INT

Outputs

MODEL

STRING

DICT

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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