g-diffuser-lib
Oscillera
| g-diffuser-lib | Oscillera | |
|---|---|---|
| 7 | 1 | |
| 156 | 131 | |
| - | - | |
| 9.8 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| Python | ||
| MIT License | - |
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.
g-diffuser-lib
- Will Stable Diffusion ever gain a better inpainting feature on par with Dalle, or is this a fundamental difference?
- Ultra-high resolution (4900x800) generation in 1 step, 3GB memory, no manual editing, pure stable-diffusion
-
Playing with Unreal Engine integration for players to create content in-game
Unreal is good too, but for those who might prefer python: https://github.com/parlance-zz/g-diffuser-lib/discussions/46 https://github.com/parlance-zz/g-diffuser-lib
-
New g-diffuser-lib for easy-to-use diffusers
Installation: 1) clone this repository to a folder of your choice (or click the green "code" button up top and click "download zip") 2) download / install miniconda (https://docs.conda.io/en/latest/miniconda.html) 3) open a conda prompt (click on the start menu and look for "anaconda prompt"), then navigate to the folder where you cloned / downloaded this repository. 4) run "conda env create -f environment.yaml" 5) place any pre-downloaded models into the models folder, if you want to use a hugging-face token instead, enter it in g_diffuser_config.py for specific instructions on model download / installation please see models/README.md (https://github.com/parlance-zz/g-diffuser-lib/tree/g-diffuser-bot-beta2/models) 6) If you are running Windows 10 you may need to turn on "developer mode". Look for "developer settings" in the start menu.
Oscillera
-
Ultra-high resolution (4900x800) generation in 1 step, 3GB memory, no manual editing, pure stable-diffusion
he just said . check out projects like https://github.com/geckoanton/Oscillera and just some videos on fourier transforms
What are some alternatives?
g-diffuser-bot - Experimental utilities, extensions, and frontend interfaces for the diffusers library (stable-diffusion) [Moved to: https://github.com/parlance-zz/g-diffuser-lib]
blindsend - End-to-end encrypted file sharing service
WaveFunctionCollapse - Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
stable-diffusion-grpcserver - An implementation of a server for the Stability AI Stable Diffusion API
ggwave - Tiny data-over-sound library
glid-3-xl-stable - stable diffusion training
SoniControl - SoniControl - the first ultrasonic firewall
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
wave-share - Serverless, peer-to-peer, local file sharing through sound
riffusion - Stable diffusion for real-time music generation