frame-interpolation
FILM: Frame Interpolation for Large Motion, In ECCV 2022. (by google-research)
stable-diffusion-backend
Backend for my Stable diffusion project(s) (by amotile)
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| frame-interpolation | stable-diffusion-backend | |
|---|---|---|
| 74 | 8 | |
| 2,672 | 57 | |
| 3.2% | - | |
| 0.0 | 10.0 | |
| 8 months ago | over 1 year ago | |
| Python | TypeScript | |
| Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
frame-interpolation
Posts with mentions or reviews of frame-interpolation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-11.
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Aging with AI from age 9 to age 99.
- Lastly I used FILM, an image interpolation library to interpolate between images
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AnimDiff
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
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What is the current best way to make sequence images for animation that keep the art style consistent?
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.
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The AI will make You an Anime in Real Time
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.
- my older video, without controlnet or training
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The secret to REALLY easy videos in A1111 (easier than you think)
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.
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Loopback Wave Workflows (FILM, AE, Flowframes)
FILM (Frame Interpolation for Large Motion)
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More Loopback Wave + Flow, this time with realistic people
Edit: used this for the interpolation. Flow wasn't the correct word. https://github.com/google-research/frame-interpolation
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Large Motion Frame Interpolation – Google AI Blog
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.
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AI Video to Fill Missing Frames/Smooth Animation?
FILM? https://film-net.github.io/
stable-diffusion-backend
Posts with mentions or reviews of stable-diffusion-backend.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-27.
- Non-exhaustive toolset
- Interpolation with openai/guided-diffusion
- Trying special effects with the Prompt Blending script
- what have you done lately?
- I created two custom scripts for AUTOMATIC1111, Prompt blending and Advanced Seed blending
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I released the first version of my new animation workflow GUI on github now. I hope it works and someone else finds it useful.
- Download this : https://github.com/amotile/stable-diffusion-backend - Go to src/process/implementations/automatic1111_scripts and take the two .py files - Put them in stable-diffusion-webui/scripts - Run your Automatic1111 webui on you computer - Launch the .exe : https://github.com/amotile/stable-diffusion-studio/releases/tag/binary1
What are some alternatives?
When comparing frame-interpolation and stable-diffusion-backend you can also consider the following projects:
ebsynth - Fast Example-based Image Synthesis and Style Transfer
prompt-interpolation-script-for-sd-webui
AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
seed_travel - Small script for AUTOMATIC1111/stable-diffusion-webui to create images between two seeds
sd-webui-mov2mov - This is the Mov2mov plugin for Automatic1111/stable-diffusion-webui.
StylePile - A prompt generation helper script for AUTOMATIC1111/stable-diffusion-webui and compatible forks
VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.
node - Node.js JavaScript runtime ✨🐢🚀✨
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
stable-diffusion-studio - An animation focused workflow frontend for Stable Diffusion
optical.flow.demo - A project that uses optical flow and machine learning to detect aimhacking in video clips.
prompt-morph - Generate morph sequences with Stable Diffusion. Interpolate between two or more prompts and create an image at each step.
frame-interpolation vs ebsynth
stable-diffusion-backend vs prompt-interpolation-script-for-sd-webui
frame-interpolation vs AnimeInterp
stable-diffusion-backend vs seed_travel
frame-interpolation vs sd-webui-mov2mov
stable-diffusion-backend vs StylePile
frame-interpolation vs VQGAN-CLIP-Video
stable-diffusion-backend vs node
frame-interpolation vs latent-diffusion
stable-diffusion-backend vs stable-diffusion-studio
frame-interpolation vs optical.flow.demo
stable-diffusion-backend vs prompt-morph