stable-diffusion-webui-Layer-Divider
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jhj0517
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!
Notice ( Read if you face an error during installation )
Some packages are problematic to install programmatically when starting webui.
So you need to manually activate venv and install these packages before running webui.
- Open the terminal in the WebUI and activate the venv
C:\YourPath\To_SD_WebUI>venv\Scripts\activate
Then it will display (venv) in front of the terminal like this.
(venv) C:\YourPath\To_SD_WebUI>
- In this state, run
pip uninstall -y pytoshop
pip uninstall -y packbits
pip install pytoshop
pip install packbits
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. |
jhj0517