chainer
chaiNNer
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| chainer | chaiNNer | |
|---|---|---|
| 2 | 46 | |
| 5,862 | 4,029 | |
| 0.3% | 5.3% | |
| 0.0 | 9.8 | |
| 8 months ago | 6 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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.
chainer
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ChaiNNer – Node/Graph based image processing and AI upscaling GUI
There is already an AI framework named Chainer: https://github.com/chainer/chainer
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Protip: the upscaler matters a lot
Sorry maybe someone could chime in and help but I use chainer to upscale. https://github.com/chainer/chainer
chaiNNer
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chaiNNer Is Awesome
It is like Comfy UI Jr. but much easier to navigate. Huge amount of useful features, and you can connect it to the WebUI. I highly recommend checking it out: https://github.com/chaiNNer-org/chaiNNer
- ChaiNNer – Node/Graph based image processing and AI upscaling GUI
- Anyone turn eye AF off when taking portraits of people or animals A7RIV?
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Transmigrations concert visuals remixes
For the video it turned out a bit too "hairy" compared to many of the still images (I believe because of the long landscape aspect ratio), but I ran out of time to fiddle. I used the Seed Travel extension for the animation and ChaiNNer with the 4x-Valar upscaler.
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How can we, as 3D designers/artists, integrate AI into our work?
While at it, check out ChaiNNer -> https://github.com/chaiNNer-org/chaiNNer
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What about game assets that target 1080p and you want 4K fidelity?
If you want to do more, there's chaiNNer and CupScale. You need to download an AI model to use those. There are a lot of anime/cartoon models out, so pick one that you like from here. (Note: Upscaly doesn't support these custom models.)
- Ai Interpolation (Quality Issue)
- What workflow is best for upscaling portraits taken by phone camera or DSLR?
- Question; for those of you with GPU’s whose VRAM is above 8Gb’s, how many photos in a batch can you make at one time?
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Are there any google collab scripts or other tools to upscale a bunch of images..?
For local there's cupscale and chainner
What are some alternatives?
leptonai - A Pythonic framework to simplify AI service building
cupscale - Image Upscaling GUI based on ESRGAN
tmu - Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
ultimate-upscale-for-automatic1111
XNOR-popcount-GEMM-PyTorch-CPU-CUDA - A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
SmallPebble - Minimal deep learning library written from scratch in Python, using NumPy/CuPy.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
stable-diffusion-webui - Stable Diffusion web UI
pytortto - deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API
upscayl - 🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.