diff --git a/__init__.py b/__init__.py
index 1fad1b4..10d2909 100644
--- a/__init__.py
+++ b/__init__.py
@@ -1,12 +1,14 @@
 from .upload_images import UploadImages
 from .classifiers import *
-
+from .moondream import Moondream
 
 NODE_CLASS_MAPPINGS = {
     "UploadImagesToInstantStudio": UploadImages,
     'HuggingFace Classify': HFClassify,
+    'Moondream': Moondream,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
-    "UploadImagesToInstantStudio": "Upload Images to Instant Studio"
+    "UploadImagesToInstantStudio": "Upload Images to Instant Studio",
+    "Moondream": "Vision LM to analyze images"
 }
diff --git a/moondream.py b/moondream.py
new file mode 100644
index 0000000..58d1f77
--- /dev/null
+++ b/moondream.py
@@ -0,0 +1,32 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from PIL import Image
+
+class Moondream:
+    def __init__(self):
+        pass
+    
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "image": ("IMAGE",),
+            },
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("Image Name",)
+
+    FUNCTION = "get_image_name"
+
+    CATEGORY = "image/utils"
+
+    def get_image_name(self, image):
+        model_id = "vikhyatk/moondream2"
+        revision = "2024-08-26"
+        model = AutoModelForCausalLM.from_pretrained(
+            model_id, trust_remote_code=True, revision=revision
+        )
+        tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
+
+        enc_image = model.encode_image(image)
+        return (model.answer_question(enc_image, "Describe this image.", tokenizer),)
diff --git a/requirements.txt b/requirements.txt
index d6a5666..94c9497 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,6 @@
 numpy
 Pillow
 Requests
+flash_attn
+transformers
+einops
\ No newline at end of file