Sort newest Hub models and run image encoder on second GPU

image_encoder_node.py

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+"""Deck-owned Comfy node: Qwen text encoder explicitly on the second visible GPU."""
+import torch
+import comfy.sd
+import folder_paths
+
+class DeckTextEncoderLoader:
+ @classmethod
+ def INPUT_TYPES(cls):
+  return {'required':{'clip_name':(folder_paths.get_filename_list('text_encoders'),)}}
+ RETURN_TYPES=('CLIP',)
+ FUNCTION='load_clip'
+ CATEGORY='Deck'
+ def load_clip(self,clip_name):
+  if torch.cuda.device_count()!=2:raise RuntimeError('Deck requires the two reserved GPUs.')
+  device=torch.device('cuda:1')
+  path=folder_paths.get_full_path_or_raise('text_encoders',clip_name)
+  clip=comfy.sd.load_clip(ckpt_paths=[path],embedding_directory=folder_paths.get_folder_paths('embeddings'),clip_type=comfy.sd.CLIPType.QWEN_IMAGE,
+      model_options={'load_device':device,'offload_device':torch.device('cpu'),'initial_device':torch.device('cpu')})
+  if clip.patcher.load_device!=device:raise RuntimeError('Textencoder could not be assigned to the reserved GPU.')
+  return (clip,)
+
+NODE_CLASS_MAPPINGS={'DeckTextEncoderLoader':DeckTextEncoderLoader}
+NODE_DISPLAY_NAME_MAPPINGS={'DeckTextEncoderLoader':'Deck · Textencoder auf zweiter GPU'}