diff --git a/scripts/clip_interrogator_ext.py b/scripts/clip_interrogator_ext.py
index 9e1cb50..e062046 100644
--- a/scripts/clip_interrogator_ext.py
+++ b/scripts/clip_interrogator_ext.py
@@ -1,11 +1,13 @@
 import gradio as gr
 import open_clip
 import clip_interrogator
+import torch
+
 from clip_interrogator import Config, Interrogator
 
-from modules import devices, script_callbacks
+from modules import devices, script_callbacks, shared, lowvram
 
-__version__ = '0.0.1'
+__version__ = '0.0.2'
 
 ci = None
 
@@ -13,7 +15,22 @@ def load(clip_model_name):
     global ci
     if ci is None:
         print(f"Loading CLIP Interrogator {clip_interrogator.__version__}...")
-        ci = Interrogator(Config(device=devices.get_optimal_device(), clip_model_name=clip_model_name))
+
+        low_vram = shared.cmd_opts.lowvram or shared.cmd_opts.medvram
+        if not low_vram and torch.cuda.is_available():
+            device = devices.get_optimal_device()
+            vram_total_mb = torch.cuda.get_device_properties(device).total_memory / (1024**2)
+            if vram_total_mb < 12*1024*1024:
+                low_vram = True
+                print(f"    detected < 12GB VRAM, using low VRAM mode")
+
+        config = Config(device=devices.get_optimal_device(), clip_model_name=clip_model_name)
+        if low_vram:
+            config.blip_model_type = 'base'
+            config.blip_offload = True
+            config.chunk_size = 1024
+            config.flavor_intermediate_count = 1024
+        ci = Interrogator(config)
     if clip_model_name != ci.config.clip_model_name:
         ci.config.clip_model_name = clip_model_name
         ci.load_clip_model()
@@ -24,8 +41,8 @@ def unload():
     global ci
     if ci is not None:
         print("Offloading CLIP Interrogator...")
-        ci.blip_model = ci.blip_model.to("cpu")
-        ci.clip_model = ci.clip_model.to("cpu")
+        ci.blip_model = ci.blip_model.to(devices.cpu)
+        ci.clip_model = ci.clip_model.to(devices.cpu)
         devices.torch_gc()
 
 def get_models():
@@ -105,6 +122,11 @@ def about_tab():
     gr.Markdown("If you have any issues please visit [CLIP Interrogator on Github](https://github.com/pharmapsychotic/clip-interrogator) and drop a star if you like it!")
     gr.Markdown(f"<br><br>CLIP Interrogator version: {clip_interrogator.__version__}<br>Extension version: {__version__}")
 
+    if torch.cuda.is_available():
+        device = devices.get_optimal_device()
+        vram_total_mb = torch.cuda.get_device_properties(device).total_memory / (1024**2)
+        gr.Markdown(f"GPU VRAM: {vram_total_mb:.2f}MB")
+
 def add_tab():
     with gr.Blocks(analytics_enabled=False) as ui:
         with gr.Tab("Prompt"):