Update README.md

README.md

@@ -13,5 +13,14 @@ inference: true
     
 # controlnet-CiaraRowles/TemporalNetXL
 
-These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
+This is TemporalNet1XL, it is a retrain of the controlnet TemporalNet1 with Stable Diffusion XL.
 
+This does not use the control mechanism of TemporalNet2 as it would require some additional work to adapt the diffusers pipeline to work with a 6 channel input.
+
+In order to run, simply use the script "runtemporalnetxl.py" after installing the normal diffusers requirements and specify the following command line arguments:
+
+--prompt  does what it says on the tin
+--video_path the path to your input video, this will split the frames out if the frames are not already there, if you want a different resolution or frame rate, you'll want to preprocess them and put them into the ./frames folder
+--frames_dir (optional) if you want a different path for the frames input
+--output_frames_dir (optional) the output directory
+--init_image_path (optional) it is recommended you get the first frame, modify it to a good starting look with stable diffusion, and use that as the first generated frame, if unspecified it will use the first video frame (not reccomened)