# ComfyUI_GradientDeepShrink

**Repository Path**: chenabao/ComfyUI_GradientDeepShrink

## Basic Information

- **Project Name**: ComfyUI_GradientDeepShrink
- **Description**: ComfyUI插件：ComfyUI_GradientDeepShrink. B站--走在路上跑同步. 感谢原作者贡献，请在github上给他们点个star吧！
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-12-30
- **Last Updated**: 2025-01-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

These nodes are variants of the default PatchModelAddDownscale which makes it possible to let the downscale factor scale linearly between points.
## 1. GradientPatchModelAddDownscale

**GradientPatchModelAddDownscale**  modifies a given model by adding a downscaling operation to a specific block of the model. This operation is applied during the forward pass of the model.

The downscaling operation is controlled by several parameters:

- block_number: The block in the model where the downscaling operation is applied.
- downscale_factor: The factor by which the input is downscaled.
- start_percent and end_percent: These parameters define a range in which the downscaling factor is linearly interpolated from 1/downscale_factor to 1.
- downscale_after_skip: A boolean flag that determines whether the downscaling operation is applied after the skip connection in the block.

The node returns a new model with the downscaling operation added.

## 2. GradientPatchModelAddDownscaleAdvanced
![advanced Node](./advanced.png)

The GradientPatchModelAddDownscaleAdvanced node is a more advanced version of the GradientPatchModelAddDownscale node. It also modifies a given model by adding a downscaling operation to a specific block of the model.

In addition to the parameters of the GradientPatchModelAddDownscale node, the GradientPatchModelAddDownscaleAdvanced node also takes a config parameter. This parameter is a string that defines a set of percentage-scale factor pairs. The scale factor for a given percentage is determined by linearly interpolating between the defined pairs.

The interpolate parameter is a boolean flag that determines whether the scale factor is interpolated between the defined pairs or whether the scale factor of the nearest lower percentage is used.

The node returns a new model with the downscaling operation added.