frame-interpolation VS sd-webui-mov2mov

- Lastly I used FILM, an image interpolation library to interpolate between images

1) generate video using https://github.com/camenduru/animatediff 2) upscale using SD-CN https://github.com/volotat/SD-CN-Animation 3) interpolate frames using https://github.com/google-research/frame-interpolation 4) add audio using https://huggingface.co/spaces/suno/bark

I am aware of interpolation as well (https://github.com/google-research/frame-interpolation) where you give it two images and it generates the images in between to get there but not sure I have good enough images to attempt to use this yet.

Super neat though. With some interpolation (possibly this Google Research one I just found via ChatGPT), it wouldn't be too bad to dump a video in and have it process in the background.

FILM repo by Google Research, they made this very cool interpolation method, my favourite so far. It's a pain to set up, didn't manage to run it on my local machine, I'm not very smart, and I can't get "pip install tensorflow==2.6.2" to run on my Windows, so can't run the requirements, so can't run the script.. BUTTTT you can use colab here, and once you hook it up to your GDrive, you can change the path to your folder of images, and it will process and spit out the interpolated video for you. I only have free tier, and it took 16 minutes for the sample video.

FILM (Frame Interpolation for Large Motion)

Edit: used this for the interpolation. Flow wasn't the correct word. https://github.com/google-research/frame-interpolation

Also off-topic, but their github.io page has a bibtex snippet for anyone wanting to cite their work in their papers. I'm not an academic, but I still strangely appreciate the gesture.

FILM? https://film-net.github.io/

I’ve been messing around with video creation within Auto1111 and wanted to share the process I’m using. I started by installing this extension within auto1111 GUI: https://github.com/Scholar01/sd-webui-mov2mov. Once installed, you’ll see a new tab to create diffused video. I then used a screenshot from the video I want to diffuse within img2img to figure out the effect I want to apply to the video. I used FFMPEG to extract a single video frame. Once I get the effect I want, I copy/paste the settings over to the mov2mov tab. NOTE: I don’t know why, but I get blurry video when using samplers other than euler_a. There may be others that work but I haven’t looked into it further. In the attached video, I used controlnet (openpose full and lineart). I set the denoising to .3 and steps to 20. I set the movie frame to 15. I noticed that if I set the generate movie mode to mp4v, it avoids an error at the end of the process that prevents the video from being written. Once that is done, I process the video with another tool (a command line tool, not in auto1111) found here: https://github.com/ChenyangLEI/All-In-One-Deflicker. For a free tool, it produces decent results.

mov2mov extension

Download this extension into your A1111 via the URL link, credits to the OG Scholar01, who seems to be of eastern asia descent and probably has little english skills, but kudos to him anyway. https://github.com/Scholar01/sd-webui-mov2mov.git Optional - this repo also has ModNet support - it's like automatic AI roto for your video, I tried it once, results were kinda meh, but hey, it's something.. There are links for chinese? file hosters but are paid, so I'm making it easier for you by re-uploading To download models for ModNet, go here https://www.mediafire.com/file/j140lpjn3xfabhb/modnet_photographic_portrait_matting.ckpt/file https://www.mediafire.com/file/4xjrylvr41pq6sk/modnet_webcam_portrait_matting.ckpt/file