orbital
fastsdcpu
| orbital | fastsdcpu | |
|---|---|---|
| 7 | 6 | |
| 284 | 942 | |
| 2.8% | - | |
| 9.3 | 9.5 | |
| 6 months ago | 4 days ago | |
| TypeScript | Python | |
| GNU General Public License v3.0 or later | 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.
orbital
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Orbital – Dynamically unifying APIs and data with no glue code
We recently open sourced Orbital - our platform for unifying APIs, Event Streams and Data sources.Rather than relying on glue code to bridge endpoints, Orbital leverages annotations in schemas & API specs to build the integration dynamically.
- FLaNK Stack Weekly for 30 Oct 2023
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Show HN: Orbital – Dynamically Unifying APIs and Data with No Glue Code
Maybe we could move the codebase around, so there's community/ and commerical/ top-level dirs, and associated licenses under there. (Naming TBD).
[0]https://github.com/orbitalapi/orbital/blob/develop/LICENSE_F...
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Quickly modernizing SOAP APIs
Remember, if you found this useful, please give our Github repo a star!
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We created Taxi, and why we felt the need for Another Schema Language
> Orbital is the query engine
So I searched and
https://github.com/orbitalapi/orbital says to use https://hub.docker.com/r/orbitalhq/orbital which has no README
It also says "This repository will contain our open source code, along with issues, discussions and roadmap.", is there an ETA for source code release?
Will the Java application in that docker container be open sourced?
fastsdcpu
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FastSD CPU beta 21 - SDXL Turbo OpenVINO support (2.5 seconds on CPU)
Release : https://github.com/rupeshs/fastsdcpu/releases/tag/v1.0.0-beta.21
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Krita AI Diffusion
Too bad I don't have the Hardware to run it. Anyone had success with stable diffusion on Steam Deck ? The only thing that works for me is https://github.com/rupeshs/fastsdcpu , but it takes 1m per 512x512 image and is LCM
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$95 AMD CPU Becomes 16GB GPU to Run AI Software
> one minute and 50 seconds to generate a 512 x 512-pixel image with the default setting of 50 steps
A little over 2s/iter? That is... Not great.
It is slower than CPU diffusion: https://github.com/rupeshs/fastsdcpu
Stable Diffusion in particular doesn't need much VRAM anyway. I get that many people are stuck on lower end computers, but ~4GB is not an unreasonable requirement.
- FLaNK Stack Weekly for 30 Oct 2023
- Generate images in one second on your Mac using a latent consistency model
- rupeshs/fastsdcpu: Fast stable diffusion CPU
What are some alternatives?
fury-benchmarks - Serialization Benchmarks for fury with other libraries
Deep-Learning-Ultra - Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for GPU), TensorFlow 2 for GPU, PyG and NVIDIA RAPIDS
taxilang - Taxi is a language for describing APIs, data models, and how everything relates
safetensors_util - Utility for Safetensors Files
lang-segment-anything - SAM with text prompt
sd-gui - Clean and simple Stable Diffusion GUI for macOS, Windows, and Linux
trustfall - A query engine for any combination of data sources. Query your files and APIs as if they were databases!
qlora - QLoRA: Efficient Finetuning of Quantized LLMs
spelltest - AI-to-AI Testing | Simulation framework for LLM-based applications
latent-consistency-model - Run Latent Consistency Models on your Mac
demos - A series of demos, showing features of Orbital and TaxiQL
stablediffusion-infinity - Outpainting with Stable Diffusion on an infinite canvas