StreamDiffusion
Stirling-PDF
StreamDiffusion | Stirling-PDF | |
---|---|---|
4 | 23 | |
8,969 | 25,728 | |
- | 24.3% | |
9.6 | 9.8 | |
21 days ago | 7 days ago | |
Python | Java | |
Apache License 2.0 | 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.
StreamDiffusion
- FLaNK Weekly 31 December 2023
-
StreamDiffusion: Over 100fps Stable Diffusion on a 4090
Everyone does warmup before you measure. But measuring isn't always done right because we actually measure the GPU time only but some people naively use CPU time which is problematic because the process is asynchrenous. They have a few timing scripts though and I'm away from my GPU. There are some interesting things but they look like they know how to time. But it can also get confusing because is it considering batches or not. Some works do batch some do single. Only problem is when it isn't communicated correctly or left ambiguous.
Their paper is ambiguous unfortunately. Abstract, intro, and conclusion suggests single image by motivating with sequential generation (specifically mentioning metaverse). Experiment section says
> We note that we evaluate the throughput mainly via the average inference time per image through processing 100 images.
That implies batch along with their name Stream Batch...
Looking at the code I'm a bit confused. I'm away from my GPU so can't run. Maybe someone can let me know? This block[0] measures correctly but is using a downloaded image? Then just opens the image in the preprocess? (multi looks identical) This block[1] is using CPU? But running CPU. (there's another like this)
So I'm quite a bit confused tbh.
[0] https://github.com/cumulo-autumn/StreamDiffusion/blob/03e2a7...
[1] https://github.com/cumulo-autumn/StreamDiffusion/blob/03e2a7...
- StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Stirling-PDF
-
Stirling PDF: Self-hosted, web-based PDF manipulation tool
Well it was developed initially by ChatGPT. First file I open I see repeated comments.
https://github.com/Stirling-Tools/Stirling-PDF/blob/7f577a60...
-
A small lathe built in a Japanese prison camp
My use-case was easier than yours (microfiche of type) but I found this https://github.com/Stirling-Tools/Stirling-PDF incredibly handy.
I still had to write a bit of Python, but this really is a PDF swiss army knife.
- FLaNK Weekly 31 December 2023
- Stirling-PDF: local web application to perform various operations on PDFs
- SumatraPDF Reader
- App to fill in for PDFs
- A note of appreciation for paperless ngx
- Where does it end? Subscription License Increase.
- I'm an absolute noob/beginner - What are the basics steps to install or self-host Vikunja App?
- Self hosted alternative to smallpdf.com
What are some alternatives?
generative-ai-python - The Gemini API Python SDK enables developers to use Google's state-of-the-art generative AI models to build AI-powered features and applications.
tpotce - 🍯 T-Pot - The All In One Multi Honeypot Platform 🐝
tbmk - A commands bookmark for terminal 🔖
pdfarranger - Small python-gtk application, which helps the user to merge or split PDF documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface.
OpenVoice - Instant voice cloning by MyShell.
qsv - CSVs sliced, diced & analyzed.
pdfcpu - A PDF processor written in Go.
whisper-plus - WhisperPlus: Faster, Smarter, and More Capable 🚀
naps2 - Scan documents to PDF and more, as simply as possible.
introduction-to-github - Get started using GitHub in less than an hour.
lxd-dashboard - This LXD dashboard is a web-based user interface (GUI) for managing containers and virtual machines through LXD