From d228e713d65221d3d505b2e114e0ee714a6d0d60 Mon Sep 17 00:00:00 2001
From: kijai <40791699+kijai@users.noreply.github.com>
Date: Mon, 26 Feb 2024 11:19:40 +0200
Subject: [PATCH] Add intristic loras

---
 intrinsic_loras.txt | 4 ++++
 nodes.py            | 7 ++++---
 2 files changed, 8 insertions(+), 3 deletions(-)
 create mode 100644 intrinsic_loras.txt

diff --git a/intrinsic_loras.txt b/intrinsic_loras.txt
new file mode 100644
index 0000000..62ee933
--- /dev/null
+++ b/intrinsic_loras.txt
@@ -0,0 +1,4 @@
+source for the loras:
+https://github.com/duxiaodan/intrinsic-lora
+
+Renamed and conveted to .safetensors
\ No newline at end of file
diff --git a/nodes.py b/nodes.py
index 6f86da4..d54a060 100644
--- a/nodes.py
+++ b/nodes.py
@@ -3663,15 +3663,17 @@ class ImageNormalize_Neg1_To_1:
 
     
 import comfy.sample
-from nodes import CLIPTextEncode, VAEEncode, VAEDecode, LoraLoader
+from nodes import CLIPTextEncode, LoraLoader
+folder_paths.add_model_folder_path("intristic_loras", os.path.join(script_dir, "intristic_loras"))
 
 class Intrinsic_lora_sampling:
     def __init__(self):
         self.loaded_lora = None
+        
     @classmethod
     def INPUT_TYPES(s):
         return {"required": { "model": ("MODEL",),
-                              "lora_name": (folder_paths.get_filename_list("loras"), ),
+                              "lora_name": (folder_paths.get_filename_list("intristic_loras"), ),
                                "task": (
                                 [   
                                     'depth map',
@@ -3735,7 +3737,6 @@ class Intrinsic_lora_sampling:
         for start_idx in range(0, samples["samples"].shape[0], per_batch):
             decoded.append(vae.decode(samples["samples"][start_idx:start_idx+per_batch]))
         image_out = torch.cat(decoded, dim=0)
-        #image_out, = VAEDecode.decode(self, vae, samples)
 
         pbar.update(1)