jhj0517/stable-diffusion-webui-layer-divider

Layer-Divider, an extension for stable-diffusion-webui using the segment-anything model (SAM)

Layer-Divider

This is an implementaion of the SAM (Segment-Anything Model) within the SD WebUI.

Divide layers in the SD WebUI and save them as PSD files.

If you want a dedicated WebUI specifically for this, rather than as an extension, please visit this repository

Installation

git clone https://github.com/jhj0517/stable-diffusion-webui-Layer-Divider.git to your stable-diffusion-webui extensions folder.

or alternatively, download and unzip the repository in your extensions folder!

How to use

Adjust the parameters and click "Generate". The output will be displayed below, and a PSD file will be saved in the extensions\stable-diffusion-webui-layer-divider\layer_divider_outputs\psd folder.

Explanation of Parameters

Parameter	Description
points_per_side	The number of points to be sampled along one side of the image. The total number of points is points_per_side**2. If None, 'point_grids' must provide explicit point sampling.
pred_iou_thresh	A filtering threshold in [0,1], using the model's predicted mask quality.
stability_score_thresh	A filtering threshold in [0,1], using the stability of the mask under changes to the cutoff used to binarize the model's mask predictions.
crops_n_layers	If >0, mask prediction will be run again on crops of the image. Sets the number of layers to run, where each layer has 2**i_layer number of image crops.
crop_n_points_downscale_factor	The number of points-per-side sampled in layer n is scaled down by crop_n_points_downscale_factor**n.
min_mask_region_area	If >0, postprocessing will be applied to remove disconnected regions and holes in masks with area smaller than min_mask_region_area. Requires opencv.