Update README.md

README.md

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 NEW:
+I’ve added new models for Wan 2.1 I2V v1.3b Fun Inp. 
+These models don’t use exactly the same method as my DG T2V Models, and the results are not identical. 
+In this version, the effect is reduced, but it attempts to fix certain parts of the video.
+
+It’s harder to implement the method I use with the other models because the I2V system and its method are constantly trying to match the start and end images. 
+It’s similar to using a LoRA to change faces in a video—you can see the model struggling against the LoRA to preserve the original start and end frames. 
+Often, the LoRA fails to work correctly on the first or last frame.
+
+Keep in mind that all of this is still experimental. 
+I’ve noticed that sometimes the tea cache conflicts with my boosted model. 
+This happens because the effects are applied before the tea cache. 
+I’m not sure how to fix it yet—maybe it needs a different tea cache value to work properly.
+
+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.
+
 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.