StreamDiffusion
qsv
StreamDiffusion | qsv | |
---|---|---|
4 | 13 | |
8,969 | 2,241 | |
- | - | |
9.6 | 9.9 | |
18 days ago | 7 days ago | |
Python | Rust | |
Apache License 2.0 | The Unlicense |
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StreamDiffusion
- FLaNK Weekly 31 December 2023
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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
qsv
- FLaNK Weekly 31 December 2023
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Qsv: Efficient CSV CLI Toolkit
Thanks for the detailed feedback @snidane!
As maintainer of qsv, here's my reply:
- Given qsv's rapid release cycle (173 releases over three years), the auto-update check is essential at the moment. Once we reach 1.0, I'll turn it off. For now, given your feedback, I've only made it check 10% of the time.
- Pivot is in the backlog and I'll be sure to add unpivot when I implement it. (https://github.com/jqnatividad/qsv/issues/799)
- I'll add a dedicated summing command with the group by (-by) and window by (-over) capability (https://github.com/jqnatividad/qsv/issues/1514). Do note that `stats` has basic sum as @ezequiel-garzon pointed out.
- With the `enum` command, qsv can achieve what you proposed with `laminate`. E.g. qsv enum --new-column newcol --constant newconstant mydata.csv --output laminated-data.csv
- With the cat rowskey command, qsv can already concatenate files with mismatched headers.
- other file formats. qsv supports parquet, csv, tsv, excel, ods, datapackage, sqlite and more (see https://github.com/jqnatividad/qsv/tree/master#file-formats). Fixed-format though is not supported yet and quite interesting, and have added it to the backlog (https://github.com/jqnatividad/qsv/issues/1515)
- as to "enable embedding outputs of commands", qsv is composable by design, so you can use standard stdin/stdout redirection/piping techniques to have it work with other CLI tools like jq, awk, etc.
Finally, just released v0.120.0 that already incorporates the less aggressive self-update check. https://github.com/jqnatividad/qsv/releases/tag/0.120.0
- Joining CSV Data Without SQL: An IP Geolocation Use Case
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Why my favourite API is a zipfile on the European Central Bank's website
qsv [1] also has a sqlp command which lets you run Polars SQL queries (even on multiple files). Here I'll send the csv data from stdin (represented by -) and then (optionally) pipe the output to the table command for formatting. The shape of the result is also printed to stderr (the (4, 2) below).
[1] https://github.com/jqnatividad/qsv
$ echo 'Name,Department,Salary
- Qsv: Ultra-fast CSV data-wrangling toolkit
- Qsv: CSVs sliced, diced and analyzed (fork of xsv)
- Nushell.sh ls β where size > 10mb β βsort-by modified
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Do Rust and Lua work well together?
It works quite well IMHO. Using the mlua crate, Iβve managed to integrate Luau as a very powerful data-wrangling DSL for qsv (https://github.com/jqnatividad/qsv)
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How manipulate this CSV in Python?
Maybe this might be better done using this? https://github.com/jqnatividad/qsv
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How to convert xslx to csv using Rust?
https://github.com/jqnatividad/qsv is another option.
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.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
tbmk - A commands bookmark for terminal π
calamine - A pure Rust Excel/OpenDocument SpreadSheets file reader: rust on metal sheets
OpenVoice - Instant voice cloning by MyShell.
fortune-sheet - A drop-in javascript spreadsheet library that provides rich features like Excel and Google Sheets
Stirling-PDF - #1 Locally hosted web application that allows you to perform various operations on PDF files
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
whisper-plus - WhisperPlus: Faster, Smarter, and More Capable π
csvquote
goawk - A POSIX-compliant AWK interpreter written in Go, with CSV support
ess-view-data - View data support for ESS