Add GLIGEN example to README.

README.md

@@ -25,6 +25,7 @@ This ui will let you design and execute advanced stable diffusion pipelines usin
 - [ControlNet and T2I-Adapter](https://comfyanonymous.github.io/ComfyUI_examples/controlnet/)
 - [Upscale Models (ESRGAN, ESRGAN variants, SwinIR, Swin2SR, etc...)](https://comfyanonymous.github.io/ComfyUI_examples/upscale_models/)
 - [unCLIP Models](https://comfyanonymous.github.io/ComfyUI_examples/unclip/)
+- [GLIGEN](https://comfyanonymous.github.io/ComfyUI_examples/gligen/)
 - Starts up very fast.
 - Works fully offline: will never download anything.
 - [Config file](extra_model_paths.yaml.example) to set the search paths for models.

nodes.py

@@ -498,7 +498,7 @@ class GLIGENLoader:
     RETURN_TYPES = ("GLIGEN",)
     FUNCTION = "load_gligen"
 
-    CATEGORY = "_for_testing/gligen"
+    CATEGORY = "loaders"
 
     def load_gligen(self, gligen_name):
         gligen_path = folder_paths.get_full_path("gligen", gligen_name)
@@ -520,7 +520,7 @@ class GLIGENTextBoxApply:
     RETURN_TYPES = ("CONDITIONING",)
     FUNCTION = "append"
 
-    CATEGORY = "_for_testing/gligen"
+    CATEGORY = "conditioning/gligen"
 
     def append(self, conditioning_to, clip, gligen_textbox_model, text, width, height, x, y):
         c = []