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# ComfyUI_UltimateSDUpscale
- [ComfyUI](https://github.com/comfyanonymous/ComfyUI) nodes for the [Ultimate Stable Diffusion Upscale script by Coyote-A](https://github.com/Coyote-A/ultimate-upscale-for-automatic1111). This is a wrapper for the script used in the A1111 extension.
+[ComfyUI](https://github.com/comfyanonymous/ComfyUI) nodes for performing the image-to-image diffusion process on large images in tiles. This approach improves the details that is commonly found on upscaled images while reducing hardware requirements and maintaining an image size that the diffusion model is trained on.
## Installation
-Enter the following command from the commandline starting in ComfyUI/custom_nodes/
-```
-git clone https://github.com/ssitu/ComfyUI_UltimateSDUpscale --recursive
-```
+
+### Using Git
+1. Git must be installed on your system. Verify by running `git -v` in a terminal.
+2. Enter the following command from the terminal starting in ComfyUI/custom_nodes/
+ ```
+ git clone https://github.com/ssitu/ComfyUI_UltimateSDUpscale
+ ```
+
+### ComfyUI Manager
+1. [ComfyUI Manager](https://github.com/Comfy-Org/ComfyUI-Manager) must be installed.
+2. After launching ComfyUI, open ComfyUI Manager and select the "Custom Nodes Manager" option.
+3. Search for "UltimateSDUpscale" and install the node. Select latest for the most up-to-date version.
+4. Follow any prompts to restart ComfyUI.
+
+### comfy-cli
+
+1. [comfy-cli](https://github.com/Comfy-Org/comfy-cli) must be installed.
+2. Run this command from the terminal: `comfy node install comfyui_ultimatesdupscale`
+
+### Manual Download
+1. Download the zip file from https://registry.comfy.org/nodes/comfyui_ultimatesdupscale to select the version you want, or obtain the current nightly version by clicking the green "Code" button on the GitHub repository page and selecting "Download ZIP".
+2. Extract the contents of the zip file into the `ComfyUI/custom_nodes/` folder.
+
## Usage
-Nodes can be found in the node menu under `image/upscaling`:
+Nodes can be found in the node menu under `image/upscaling`.
-|Node|Description|
-| --- | --- |
-| Ultimate SD Upscale | The primary node that has the most of the inputs as the original extension script. |
-| Ultimate SD Upscale
(No Upscale) | Same as the primary node, but without the upscale inputs and assumes that the input image is already upscaled. Use this if you already have an upscaled image or just want to do the tiled sampling. |
-| Ultimate SD Upscale
(Custom Sample) | Same as the primary node, but has additional inputs for a custom sampler and custom sigmas. Both must be provided if one is used. If neither is provided, the widgets (the settings below the input slots) for the sampler and step/denoise settings will be used, like in the base USDU node. |
-
----
+Documentation for the nodes can be found in the [`js/docs/`](js/docs/) folder, or viewed within the application by right-clicking the relevant node and selecting the info icon.
Details about most of the parameters can be found [here](https://github.com/Coyote-A/ultimate-upscale-for-automatic1111/wiki/FAQ#parameters-descriptions).
-Parameters not found in the original repository:
-* `upscale_by` The number to multiply the width and height of the image by. If you want to specify an exact width and height, use the "No Upscale" version of the node and perform the upscaling separately (e.g., ImageUpscaleWithModel -> ImageScale -> UltimateSDUpscaleNoUpscale).
-* `force_uniform_tiles` If enabled, tiles that would be cut off by the edges of the image will expand the tile using the rest of the image to keep the same tile size determined by `tile_width` and `tile_height`, which is what the A1111 Web UI does. If disabled, the minimal size for tiles will be used, which may make the sampling faster but may cause artifacts due to irregular tile sizes.
-
-## Examples
-
-#### Using the ControlNet tile model:
-
-
+## References
+* Ultimate Stable Diffusion Upscale script for the Automatic1111 Web UI: https://github.com/Coyote-A/ultimate-upscale-for-automatic1111
+* ComfyUI: https://github.com/comfyanonymous/ComfyUI
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