Update README.md

README.md

@@ -13,7 +13,7 @@ TemporalNet was a ControlNet model designed to enhance the temporal consistency
 TemporalNet 2 is an evolution on the concept, where the generated outputs are guided by both the last frame *and* an optical flow map between the frames, improving generation consistency.
 
 This took some modification of the original controlnet code so you'll have to do some extra things. If you just want to run a gradio example or look at the modified controlnet code,
-that's here: https://github.com/CiaraStrawberry/TemporalNet  Just drop the model from this directory into that model folder and make sure the gradio_temporalnet.py script poitns at the model.
+that's here: https://github.com/CiaraStrawberry/TemporalNet  Just drop the model from this directory into that model folder and make sure the gradio_temporalnet.py script points at the model.
 
 To use with stable diffusion, you can either use it with TemporalKit by moving to the branch here after following steps 1 and 2: https://github.com/CiaraStrawberry/TemporalKit/tree/TemporalNet , or use it just by accessing the base api through the temporalvideo.py script: