diff --git a/requirements.txt b/requirements.txt
index 7ab31cf..d7fa462 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -34,8 +34,14 @@ streamlit-tensorboard==0.0.2
 hydralit==1.0.14
 hydralit_components==1.0.10
 stqdm==0.0.4
+
+# txt2vid
+stable-diffusion-videos==0.5.3
 diffusers==0.4.1
 
+# img2img inpainting
+streamlit-drawable-canvas==0.9.2
+
 # Img2text
 ftfy==6.1.1
 fairscale==0.4.4
diff --git a/scripts/sd_utils.py b/scripts/sd_utils.py
index fa3f6cd..9ef0ca0 100644
--- a/scripts/sd_utils.py
+++ b/scripts/sd_utils.py
@@ -25,6 +25,7 @@ from streamlit import StopException, StreamlitAPIException
 #streamlit components section
 from streamlit_server_state import server_state, server_state_lock
 import hydralit_components as hc
+import streamlit_nested_layout
 
 #other imports
 
@@ -64,6 +65,7 @@ import piexif.helper
 from tqdm import trange
 from ldm.models.diffusion.ddim import DDIMSampler
 from ldm.util import ismap
+import librosa
 
 
 # Temp imports
@@ -229,14 +231,6 @@ def load_models(use_LDSR = False, LDSR_model='model', use_GFPGAN=False, GFPGAN_m
     if "progress_bar_text" in st.session_state:
         st.session_state["progress_bar_text"].text("")
 
-
-    # Generate random run ID
-    # Used to link runs linked w/ continue_prev_run which is not yet implemented
-    # Use URL and filesystem safe version just in case.
-    st.session_state["run_id"] = base64.urlsafe_b64encode(
-            os.urandom(6)
-                ).decode("ascii")
-
     # check what models we want to use and if the they are already loaded.
     with server_state_lock["LDSR"]:
         if use_LDSR:
@@ -306,8 +300,32 @@ def load_models(use_LDSR = False, LDSR_model='model', use_GFPGAN=False, GFPGAN_m
 
         if "model" in server_state:
             if "model" in server_state and server_state["loaded_model"] == custom_model:
-                # TODO: check if the optimized mode was changed?
-                print("Model already loaded")
+                # if the float16 or no_half options have changed since the last time the model was loaded then we need to reload the model.
+                if ("float16" in server_state and server_state['float16'] != st.session_state['defaults'].general.use_float16) \
+                   or ("no_half" in server_state and server_state['no_half'] != st.session_state['defaults'].general.no_half) \
+                   or ("optimized" in server_state and server_state['optimized'] != st.session_state['defaults'].general.optimized):
+
+                    print ("Model options changed, deleting the model from memory.")
+                    del server_state['float16']
+                    del server_state['no_half']
+
+                    del server_state["model"]
+                    del server_state["modelCS"]
+                    del server_state["modelFS"]
+                    del server_state["loaded_model"]
+
+                    del server_state['optimized']
+
+                    server_state['float16'] = st.session_state['defaults'].general.use_float16
+                    server_state['no_half'] = st.session_state['defaults'].general.no_half
+                    server_state['optimized'] = st.session_state['defaults'].general.optimized
+
+                    load_models(use_LDSR=st.session_state["use_LDSR"], LDSR_model=st.session_state["LDSR_model"],
+                                use_GFPGAN=st.session_state["use_GFPGAN"], GFPGAN_model=st.session_state["GFPGAN_model"] ,
+                                use_RealESRGAN=st.session_state["use_RealESRGAN"], RealESRGAN_model=st.session_state["RealESRGAN_model"],
+                                CustomModel_available=server_state["CustomModel_available"], custom_model=st.session_state["custom_model"])
+                else:
+                    print("Model already loaded")
 
                 return
             else:
@@ -329,7 +347,7 @@ def load_models(use_LDSR = False, LDSR_model='model', use_GFPGAN=False, GFPGAN_m
             del st.session_state['textual_inversion']
 
         # At this point the model is either
-        # not loaded yet or have been evicted:
+        # not loaded yet or have been deleted from memory:
         # load new model into memory
         server_state["custom_model"] = custom_model
 
@@ -342,6 +360,10 @@ def load_models(use_LDSR = False, LDSR_model='model', use_GFPGAN=False, GFPGAN_m
         server_state["modelFS"] = modelFS
         server_state["loaded_model"] = custom_model
 
+        server_state['float16'] = st.session_state['defaults'].general.use_float16
+        server_state['no_half'] = st.session_state['defaults'].general.no_half
+        server_state['optimized'] = st.session_state['defaults'].general.optimized
+
         #trying to disable multiprocessing as it makes it so streamlit cant stop when the
         # model is loaded in memory and you need to kill the process sometimes.
 
@@ -2253,7 +2275,9 @@ def process_images(
                         load_models(use_LDSR=use_LDSR, LDSR_model=LDSR_model_name, use_GFPGAN=use_GFPGAN, use_RealESRGAN=use_RealESRGAN, RealESRGAN_model=realesrgan_model_name)
 
                     torch_gc()
-                    cropped_faces, restored_faces, restored_img = server_state["GFPGAN"].enhance(x_sample[:,:,::-1], has_aligned=False, only_center_face=False, paste_back=True)
+
+                    with torch.autocast('cuda'):
+                        cropped_faces, restored_faces, restored_img = server_state["GFPGAN"].enhance(x_sample[:,:,::-1], has_aligned=False, only_center_face=False, paste_back=True)
 
                     gfpgan_sample = restored_img[:,:,::-1]
                     gfpgan_image = Image.fromarray(gfpgan_sample)