Add support for unCLIP SD2.x models.

See _for_testing/unclip in the UI for the new nodes.

unCLIPCheckpointLoader is used to load them.

unCLIPConditioning is used to add the image cond and takes as input a
CLIPVisionEncode output which has been moved to the conditioning section.

comfy_extras/nodes_upscale_model.py

@@ -1,6 +1,5 @@
 import os
 from comfy_extras.chainner_models import model_loading
-from comfy.sd import load_torch_file
 import model_management
 import torch
 import comfy.utils
@@ -18,7 +17,7 @@ class UpscaleModelLoader:
 
     def load_model(self, model_name):
         model_path = folder_paths.get_full_path("upscale_models", model_name)
-        sd = load_torch_file(model_path)
+        sd = comfy.utils.load_torch_file(model_path)
         out = model_loading.load_state_dict(sd).eval()
         return (out, )