diff --git a/config.jsonc b/config.jsonc
index d28251a..6c757fb 100644
--- a/config.jsonc
+++ b/config.jsonc
@@ -246,6 +246,15 @@ examples (config.SITENAME.jsonc) that are part of this pan.do/ra distribution.
             "find": true,
             "sort": true
         },
+        {
+            "id": "tags",
+            "title": "Tags",
+            "type": ["string"],
+            "autocomplete": true,
+            "columnWidth": 180,
+            "filter": true,
+            "sort": true
+        },
         {
             "id": "model",
             "title": "Model",
diff --git a/generate.py b/generate.py
index d06c6f2..dc0fce2 100644
--- a/generate.py
+++ b/generate.py
@@ -13,6 +13,8 @@ from byteplussdkarkruntime import Ark
 from django.conf import settings
 
 from item.models import Item
+from document.models import Document
+from archive.models import File, Stream
 
 
 os.environ["FAL_KEY"] = settings.FAL_KEY
@@ -36,6 +38,14 @@ def public_document_url(document):
     )
     return url
 
+def public_video_url(item):
+    url = "%s%s/download/source/?token=%s" % (
+        settings.PUBLIC_URL,
+        item.public_id,
+        settings.PUBLIC_TOKEN,
+    )
+    return url
+
 
 def trim_video(src, dst, frames, start0=False):
     cap = cv2.VideoCapture(src)
@@ -377,11 +387,7 @@ def replace_character_motion_control(item, character, keep=False):
     else:
         img = character
     image_url = public_document_url(img)
-    video_url = "%s%s/download/source/?token=%s" % (
-        settings.PUBLIC_URL,
-        item.public_id,
-        settings.PUBLIC_TOKEN,
-    )
+    video_url = public_video_url(item)
     prompt = ""
     model = "fal-ai/kling-video/v2.6/pro/motion-control"
     prompt_hash = hashlib.sha1((prompt + image_url).encode()).hexdigest()
@@ -411,6 +417,28 @@ def replace_character_motion_control(item, character, keep=False):
     img.add(ai)
     return ai
 
+def describe_video_neutral(url):
+    prompt = (
+        "Detect cuts or scene changes and describe each scene, use as much details as you can. "
+        "Describe each person incudling detalied apreance, haircut in a gender neutral way, "
+        "describe each objects, animal or plant, describe foreground and backgroud, "
+        "describe from what angle the scene is filmed, incude details about camera model, lense, depth of field used to film this scene. "
+        "Use the format: <description of scene 1>. CAMERA CUT TO <description of scene 2>. CAMERA CUT TO <description of scene 3>. "
+        "Don't mention it if you don't find a cut."
+    )
+    data = {
+        "input": [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "input_video", "video_url": url, "fps": 1},
+                    {"type": "input_text", "text": prompt},
+                ],
+            }
+        ],
+    }
+    response = bytedance_response(data)
+    return response["output"][1]["content"][0]["text"]
 
 def describe_video(url):
     prompt = (
@@ -439,11 +467,7 @@ def describe_video(url):
 def describe_item(item):
     if isinstance(item, str):
         item = Item.objects.get(public_id=item)
-    video_url = "%s%s/download/source/?token=%s" % (
-        settings.PUBLIC_URL,
-        item.public_id,
-        settings.PUBLIC_TOKEN,
-    )
+    video_url = public_video_url(item)
     return describe_video(video_url)
 
 
@@ -452,7 +476,11 @@ def reshoot_item(item, extra_prompt=None, first_frame=None, keep=False):
         item = Item.objects.get(public_id=item)
     duration = item.sort.duration
     frames = int(duration * 24)
-    prompt = describe_item(item)
+    if first_frame:
+        prompt = describe_item_neutral(item)
+    else:
+        prompt = describe_item(item)
+
     if extra_prompt:
         prompt += " " + extra_prompt
     prompt_hash = hashlib.sha1((prompt).encode()).hexdigest()
@@ -479,7 +507,8 @@ def reshoot_item(item, extra_prompt=None, first_frame=None, keep=False):
     ai.data["seed"] = status["seed"]
     if first_frame:
         ai.data["firstframe"] = first_frame.split('?')[0]
-
+        if isinstance(first_frame, Document):
+            first_frame.add(ai)
     ai.save()
     if not keep:
         shutil.rmtree(os.path.dirname(output))
@@ -583,11 +612,7 @@ def transform_remake_video(item_id, image_prompt, video_prompt):
 
 def restyle_video(item_id, prompt):
     item = Item.objects.get(public_id=item_id)
-    video_url = "%s%s/download/source/?token=%s" % (
-        settings.PUBLIC_URL,
-        item.public_id,
-        settings.PUBLIC_TOKEN,
-    )
+    video_url = public_video_url(item)
     model = "decart/lucy-restyle"
     handler = fal_client.submit(
         model,
@@ -625,11 +650,7 @@ def fal_wait_for(model, request_id):
 
 def motion_control_preprocess_image(item_id, image_prompt, video_prompt):
     item = Item.objects.get(public_id=item_id)
-    video_url = "%s%s/download/source/?token=%s" % (
-        settings.PUBLIC_URL,
-        item.public_id,
-        settings.PUBLIC_TOKEN,
-    )
+    video_url = public_video_url(item)
     model = "fal-ai/kling-video/v2.6/pro/motion-control"
     prompt_hash = hashlib.sha1((image_prompt + video_prompt).encode()).hexdigest()
     output = "/srv/pandora/static/power/cache/%s_%s.mp4" % (item.public_id, prompt_hash)
@@ -874,7 +895,6 @@ def luma_modify_item(item, prompt="", image_prompt=None, first_frame=None, keep=
 def add_ai_variant(item, video_path, type):
     if isinstance(item, str):
         item = Item.objects.get(public_id=item)
-    from archive.models import File, Stream
 
     ai = Item()
     ai.user = item.user
@@ -900,7 +920,6 @@ def add_ai_variant(item, video_path, type):
     return ai
 
 def add_ai_image(item, position, url, extension=None):
-    from document.models import Document
     if extension is None:
         extension = url.split('.')[-1].split('?')[0]
         if extension == 'jpeg': extension = 'jpg'