Allow loading the "Rewards" LoRAs into 1.5 as well (for what it's worth)

model_loading.py

@@ -589,7 +589,7 @@ class CogVideoXModelLoader:
     def INPUT_TYPES(s):
         return {
             "required": {
-                "model": (folder_paths.get_filename_list("diffusion_models"), {"tooltip": "The name of the checkpoint (model) to load.",}),
+                "model": (folder_paths.get_filename_list("diffusion_models"), {"tooltip": "These models are loaded from the 'ComfyUI/models/diffusion_models' -folder",}),
             
             "base_precision": (["fp16", "fp32", "bf16"], {"default": "bf16"}),
             "quantization": (['disabled', 'fp8_e4m3fn', 'fp8_e4m3fn_fast', 'torchao_fp8dq', "torchao_fp8dqrow", "torchao_int8dq", "torchao_fp6"], {"default": 'disabled', "tooltip": "optional quantization method"}),
@@ -821,7 +821,7 @@ class CogVideoXVAELoader:
     def INPUT_TYPES(s):
         return {
             "required": {
-                "model_name": (folder_paths.get_filename_list("vae"), {"tooltip": "The name of the checkpoint (vae) to load."}),
+                "model_name": (folder_paths.get_filename_list("vae"), {"tooltip": "These models are loaded from 'ComfyUI/models/vae'"}),
             },
             "optional": {
                 "precision": (["fp16", "fp32", "bf16"],