diff --git a/README.md b/README.md
index 2d8301a..7788b9b 100644
--- a/README.md
+++ b/README.md
@@ -9,6 +9,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer
 * MMDetDetectorProvider - Load MMDet model to provide BBOX_DETECTOR, SEGM_DETECTOR
 * ONNXDetectorProvider - Load ONNX model to provide SEGM_DETECTOR
 * CLIPSegDetectorProvider - CLIPSeg wrapper to provide BBOX_DETECTOR
+  * You need to install the [ComfyUI-CLIPSeg](https://github.com/biegert/ComfyUI-CLIPSeg) node extension. 
 * SEGM Detector (combined) - Detect segmentation and return mask from input image.
 * BBOX Detector (combined) - Detect bbox(bounding box) and return mask from input image.
 * SAMDetector (combined) - Using the technology of SAM, extract the segment at the location indicated by the input SEGS on the input image, and output it as a unified mask. 
@@ -37,6 +38,8 @@ This custom node helps to conveniently enhance images through Detector, Detailer
    * If upscale_model_opt is provided, it uses the model to upscale the pixel and then downscales it using the interpolation method provided in scale_method to the target resolution.
 * PixelKSampleUpscalerProvider - An upscaler is provided that converts latent to pixels using VAEDecode, performs upscaling, converts back to latent using VAEEncode, and then performs k-sampling. This upscaler can be attached to nodes such as 'Iterative Upscale' for use.
   * Similar to 'Latent Scale (on Pixel Space)', if upscale_model_opt is provided, it performs pixel upscaling using the model.
+* PixelTiledKSampleUpscalerProvider - It is similar to PixelKSampleUpscalerProvider, but it uses ComfyUI_TiledKSampler and Tiled VAE Decoder/Encoder to avoid GPU VRAM issues at high resolutions.
+  * You need to install the [ComfyUI_TiledKSampler](https://github.com/BlenderNeko/ComfyUI_TiledKSampler) node extension.
 * Iterative Upscale (Latent) - The upscaler takes the input upscaler and splits the scale_factor into steps, then iteratively performs upscaling. 
 This takes latent as input and outputs latent as the result.
 * Iterative Upscale (Image) - The upscaler takes the input upscaler and splits the scale_factor into steps, then iteratively performs upscaling. This takes image as input and outputs image as the result.
@@ -132,6 +135,7 @@ This takes latent as input and outputs latent as the result.
 * [Mask Pointer](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/maskpointer.md)
 * [ONNX Tutorial](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/ONNX.md)
 * [CLIPSeg Tutorial](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/clipseg.md)
+* [Extreme Highresolution Upscale](https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/extreme-upscale.md)
 
 
 # Credits
@@ -150,4 +154,7 @@ open-mmlab/[mmdetection](https://github.com/open-mmlab/mmdetection) - Object det
 
 biegert/[ComfyUI-CLIPSeg](https://github.com/biegert/ComfyUI-CLIPSeg) - This is a custom node that enables the use of CLIPSeg technology, which can find segments through prompts, in ComfyUI.
 
+BlenderNeok/[ComfyUI-TiledKSampler](https://github.com/BlenderNeko/ComfyUI_TiledKSampler) - 
+The tile sampler allows high-resolution sampling even in places with low GPU VRAM.
+
 WASasquatch/[was-node-suite-comfyui](https://github.com/WASasquatch/was-node-suite-comfyui) - A powerful custom node extensions of ComfyUI.