minor fixes

install.py

@@ -12,4 +12,4 @@ with open(req_file) as file:
 
         if not launch.is_installed(lib):
 
-            launch.run_pip(f"install {lib}", f"text2video requirement: {lib}")
+            launch.run_pip(f"install {lib}", f"SD-CN-Animation requirement: {lib}")

readme.md

@@ -48,13 +48,13 @@ All examples you can see here are originally generated at 512x512 resolution usi
 
 
 ## Installing the extension
-~TODO~
+*TODO*
 
 Download RAFT 'raft-things.pth' from here: [RAFT link] and place it into 'stable-diffusion-webui/models/RAFT/' folder.
 All generated video will be saved into 'outputs/sd-cn-animation' folder.
 
 ## Last version changes: v0.6
-* Complete rewrite of the project to make it possible to install as a Automatic1111/Web-ui extension.
+* Complete rewrite of the project to make it possible to install as an Automatic1111/Web-ui extension.
 * Added separate flag '-rb' for background removal process at the flow computation stage in the compute_flow.py script.
 * Added flow normalization before rescaling it, so the magnitude of the flow computed correctly at the different resolution.
 * Less ghosting and color change in vid2vid mode

scripts/vid2vid.py

@@ -167,6 +167,7 @@ def start_process(*args):
     processed_frames, _, _, _ = modules.img2img.img2img(*args_list) #img2img(args_dict)
     processed_frame = np.array(processed_frames[0])
     processed_frame = skimage.exposure.match_histograms(processed_frame, curr_frame, multichannel=False, channel_axis=-1)
+    processed_frame = np.clip(processed_frame, 0, 255).astype(np.uint8)
     #print('Processed frame ', 0)