dain-ncnn-vulkan
FLAVR
dain-ncnn-vulkan | FLAVR | |
---|---|---|
9 | 1 | |
496 | 409 | |
- | - | |
0.0 | 0.0 | |
6 months ago | 5 months ago | |
C | Python | |
MIT License | Apache License 2.0 |
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.
dain-ncnn-vulkan
-
[Tech Support] Comment exécuter Dain (logiciel d'animation d'interpolation) sur Mac
Lien vers les instructions [https://github.com/nihui/dain-ncnn-vulkan/blob/master/readme.md de Readme.md)
- Stable Diffusion on AMD RDNA™ 3 Architecture
-
[Help] Looking for a command-line implementation of ai video upscaling, preferably FOSS
I also found this and this, which FlowFrames seems to be based on. These would probably help with the frame extrapolation and increasing, but won't help me with the upscaling.
-
Short interpolation animation between several frames?
not SD based, but maybe this helps? https://github.com/nihui/dain-ncnn-vulkan https://github.com/nihui/rife-ncnn-vulkan
- Are you guys interested in a vid2vid?
- Film: Frame Interpolation for Large Motion
-
[Question] How do I turn an MP4 video into 34,416 png frames / pictures.
I can recommend DAIN for the 60 fps: https://github.com/nihui/dain-ncnn-vulkan
-
How to run DAIN (interpolation animation software) on mac
link to the instructions https://github.com/nihui/dain-ncnn-vulkan/blob/master/README.md
-
Upscaled Anime
For AMD. But it takes forever to even do a few seconds on AMD for me (5700 XT; and Nvidia GPUs are impossible to get..). And NVIDIA. Generally you split the video in single frames; interpolate them with the DAIN AI Models (Idk which model is best for animation) and the images that the model created are then re-rendered to a video with ffmpeg.
FLAVR
-
[Help] Looking for a command-line implementation of ai video upscaling, preferably FOSS
I also found this and this, which FlowFrames seems to be based on. These would probably help with the frame extrapolation and increasing, but won't help me with the upscaling.
What are some alternatives?
rife-ncnn-vulkan - RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
pipeless - An open-source computer vision framework to build and deploy apps in minutes without worrying about multimedia pipelines [Moved to: https://github.com/pipeless-ai/pipeless]
Anime4K - A High-Quality Real Time Upscaler for Anime Video
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
waifu2x-ncnn-vulkan - waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Dain-App - Source code for Dain-App
recommenders - Best Practices on Recommendation Systems
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
srmd-ncnn-vulkan - SRMD super resolution implemented with ncnn library
gatling - Hydra-enabled GPU path tracer that supports MaterialX and MDL
stable-diffusion-videos - Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts