StreamDiffusion
Inbox Zero
StreamDiffusion | Inbox Zero | |
---|---|---|
4 | 4 | |
8,969 | 1,978 | |
- | - | |
9.6 | 9.9 | |
21 days ago | 4 days ago | |
Python | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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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
Inbox Zero
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Show HN: Simple email mode for Gmail's 20th anniversary
On April 1st 2004, Google released Gmail.
Twenty years later, I'm releasing an open source email app that helps you reach inbox zero for a single day: Simple Email Mode
Simple Mode makes handling less overwhelming:
* Handle emails in batches of 5
* Long emails summarized
* Timer to gamify maintain focus
* Set aside what you want to handle later. Archive the rest
You can try it out at https://getinboxzero.com under the Early Access tab.
And check out the GitHub repo: https://github.com/elie222/inbox-zero
Only for Gmail users at this time.
- FLaNK Weekly 31 December 2023
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Show HN: Inbox Zero – open-source email assistant
You can also see when we deploy each time on GitHub: https://github.com/elie222/inbox-zero/deployments
- InboxZero – Organize your inbox with the help of AI