Update README.md

README.md

@@ -20,11 +20,22 @@ I’m not sure how to fix it yet—maybe it needs a different tea cache value to
 
 If you notice strange noise in the video, try disabling the tea cache or experimenting with different tea cache values until you find one that works.
 
+To install my custom node, download the ZIP file and extract it. 
+Make sure that there is only one folder named ComfyUI-DG-Wan2_1-OX3D, sometimes unzipping creates two nested folders with the same name, so double-check that.
+Place this folder inside ComfyUI/custom_nodes.
+Next, open a Windows command prompt (preferably as administrator), and run the following command:
+X:\YourComfyUiInstallDir\python_embeded\python -m pip install -r X:\YourComfyUiInstallDir\ComfyUI\custom_nodes\ComfyUI-DG-Wan2_1-OX3D\requirements.txt
+After that, restart ComfyUI and download my workflow. Everything should work fine.
+My node allows you to use one or two images with the Fun Inp model, and it also adds three transition modes between the start and end images. 
+Additionally, it supports using one or two prompts to mix the two images.
+
+NEW TRAINING LORAs: 
 I’ve converted Wan2.1-Fun-1.3B-InP-HPS2.1_lora.safetensors & Wan2.1-Fun-1.3B-InP-MPS_lora_new.safetensors to make it compatible with the Fun model and ComfyUI.
 I'm working on a Fun model version using my boost method, but with this model, the effect isn’t exactly the same as the T2V model. 
 The boost does help, but the impact is noticeably less compared to the T2V model. 
 I still need to run more tests with my Fun Boost model, but I should be able to upload it soon.
 
+OLDER:
 I have added some experimental versions of the model Wan 2.1 v1.3b. These are different levels of distilled + hires + refined editions. 
 Normally, the medium models should be the best, but this is experimental, and I haven't had time to test every situation. 
 However, the first results look promising.