stable-core
stable-diffusion-grpcserver
| stable-core | stable-diffusion-grpcserver | |
|---|---|---|
| 1 | 6 | |
| 7 | 172 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| - | 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.
stable-core
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[hlky’s/sd-webui] Announcing Sygil.dev & Project Nataili
Yo guys the work for a backend with plugin ecosystem is already underway with stable-core, and we have ported AUTO1111 SD as our first plugin!
stable-diffusion-grpcserver
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Using a custom Safety Filter.
I recently discovered a FlagOnlySafetyChecker for stable diffusion but I'm unable to use it in the program. https://github.com/hafriedlander/stable-diffusion-grpcserver/blob/main/sdgrpcserver/pipeline/safety_checkers.py
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Happy New Year with and and faces restoration using SD and Photoshop plugin. See full workflow in comment.
- https://github.com/hafriedlander/stable-diffusion-grpcserver I am running it on vast.ai and local installation. A good NVidia card is required.
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[hlky’s/sd-webui] Announcing Sygil.dev & Project Nataili
Stable Cabal’s gRPC Server - An implementation of Stability.AI’s API
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xformers coming to Automatic1111
This is also already implemented in the GRPC server project here, which now has a nice webui itself: https://github.com/hafriedlander/stable-diffusion-grpcserver
- Ultra-high resolution (4900x800) generation in 1 step, 3GB memory, no manual editing, pure stable-diffusion
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Stable Diffusion with kotlin to phyton?
if you want to run such a server locally instead of paying for DreamStudio API credits, you could try https://github.com/hafriedlander/stable-diffusion-grpcserver . You'd still have to manage both a Python server and your Kotlin application, but you could have them in different environments, and you wouldn't have to worry about the complications of how to run a conda environment from inside a Kotlin process.
What are some alternatives?
AI-Horde - A crowdsourced distributed cluster for AI art and text generation
stability-sdk - SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
stable-diffusion - A latent text-to-image diffusion model
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
imaginAIry - Pythonic AI generation of images and videos
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]
stable-diffusion-webui - Stable Diffusion web UI
nataili - Nataili is a Python library that provides tools for building multimodal AI applications. With its modular design, Nataili makes it easy to use only the tools you need to build custom AI solutions.
g-diffuser-lib - Discord bot and utilities for the diffusers library (stable-diffusion) [Moved to: https://github.com/parlance-zz/g-diffuser-bot]