Added Ptn Pre Add Channel Axis node and Ptn Pre Flatten node. Also added example workflows to build a model from scratch using Ptn Chained Model node.

docs/building_a_model_from_scratch.md

@@ -0,0 +1,12 @@
+# Building a Model from Scratch
+
+ComfyUI Pt Wrapper provides composite models that can be easily customized by adjusting parameters. However, you can also build a model from scratch by sequentially combining basic models such as `Conv2D` and `Linear`.
+
+To chain two models, use the **Pt Chained Model** node. This node also supports specifying post-processing after the forward pass of the second model (e.g., activation functions). To define the post-processing step, connect a **Ptf** node (e.g., `Ptf ReLU`).
+
+In some cases, preprocessing may be required before feeding data into the model. For instance, you can use the **Pt Pre Add Channel Axis** node to add a channel dimension to the input tensor or the **Pt Pre Flatten** node to flatten convolutional output before passing it to a linear layer.
+
+The following example workflows demonstrate this approach:
+
+- `./examples/workflows/fashion_mnist_eval_conv_chained_model.json`: Constructs a multi-layer convolutional network from scratch.
+- `./examples/workflows/fashion_mnist_train_chained_model.json`: Uses the trained model for evaluation.

docs/model_training.md

@@ -7,13 +7,12 @@ Currently, following archituctures are supported (node names are in parentheses)
 * Convolutional Network (Ptn Conv Model)
 * ResNet (Ptn Resnet Model)
 
-In addition, a single layer Linear model is supported as an example to illustrate the use (see the bottom of this page on how to use it):
-* Linear (Ptn Linear)
-
 You can adjust the model configuration including output dimension on the UI.
 
 The system is designed to be modular. For example, to switch from a linear model to a convolutional model, you only need to replace the model node (see screenshot below).
 
+You can also build a model from scratch by sequentially combining basic models such as `Conv2D` and `Linear` by using the **Pt Chained Model** node.  See [Building a Model from Scratch](building_a_model_from_scratch.md) for details.
+
 You can choose to:
 * Use your own images
 * Use a public dataset

docs/reference/node_reference.md

@@ -120,6 +120,8 @@
 | [Ptn Linear](ptn_linear.md) | A linear model consisting of a single dense layer.   |
 | [Ptn Linear Model](ptn_linear_model.md) | A linear model consisting of dense layers.   |
 | [Ptn Max Pool](ptn_max_pool2d.md) | A maxpool layer.   |
+| [Ptn Pre Add Channel Axis](ptn_pre_add_channel_axis.md) | Adds a channel axis after the batch axis if the input is rank 3 (bs, h, w) |
+| [Ptn Pre Flatten](ptn_pre_flatten.md) | Flattens the input tensor before processing the tensor in the specified model. |
 | [Ptn Resnet Model](ptn_resnet_model.md) | A Resnet model consisting of multiple Resnet layers.   |
 ## PyTorch wrapper - Optimizer
 | Node | Description |

docs/reference/ptn_conv2d.md

@@ -25,7 +25,7 @@ t.
 | dilation | String |
 | groups | Int |
 | bias | Boolean |
-| padding_mode | Zeros |
+| padding_mode |  |
 
 ## Output
 | Data type |

docs/reference/ptn_pre_add_channel_axis.md

@@ -0,0 +1,18 @@
+# Ptn Pre Add Channel Axis
+Adds a channel axis after the batch axis if the input is rank 3 (bs, h, w)
+before the forward pass by the specified model.
+
+## Input
+| Name | Data type |
+|---|---|
+| model | Ptmodel |
+
+## Output
+| Data type |
+|---|
+| Ptmodel |
+
+<HR>
+Category: PyTorch wrapper - Model
+
+ComfyUI Pt Wrapper Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.

docs/reference/ptn_pre_flatten.md

@@ -0,0 +1,17 @@
+# Ptn Pre Flatten
+Flattens the input tensor before processing the tensor in the specified model.
+
+## Input
+| Name | Data type |
+|---|---|
+| model | Ptmodel |
+
+## Output
+| Data type |
+|---|
+| Ptmodel |
+
+<HR>
+Category: PyTorch wrapper - Model
+
+ComfyUI Pt Wrapper Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.