clamshell
imaginAIry
clamshell | imaginAIry | |
---|---|---|
8 | 56 | |
58 | 7,802 | |
- | - | |
0.9 | 9.2 | |
about 1 year ago | 22 days ago | |
Python | Python | |
MIT License | MIT License |
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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.
clamshell
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Shells Are Two Things
This is well made case - but I'm not sure I buy the central argument. Within some basic limits, I don't think terseness and readability have the contradiction made out here, because in programming we have abstraction, which gives us both.
To take the example command that's given:
beef.txt | grep "lasagna" | sort -n | uniq
Sure, writing the logic out for this in something like python straight out the bat with only the standard library might look messy, but with one basic convenience function it could quickly be:
search(for='lasagna', in='beef.txt', clear_duplicates=False).sorted()
Obviously you have to write the function in the first place, but I'd say if you're doing something like this often, it's easily worth spending that 2 minutes. And if you're not doing this often, you'll have a faster time writing more code, but keeping less heavy lifting of "how does bash pipe together" in your head.
I shared a project here a few weeks ago experimenting with what my dream shell might look like, what surprised me more than anything else, was how easy writing a repl environment actually is. I put a scrappy one together as one person in a few hours, so I don't understand why as developers we've reached general language models before being able to make a powerful, but new-user friendly shell.
Also, completely unrelated note, but posix only allows passing back strings - but isn't this true of web apis too which we use all the time? How come no json as a standard passback from programs?
Shameless plug for the project I mentioned earlier: https://github.com/benrutter/clamshell
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This Week In Python
clamshell – experimenting with a python based shell
- FLiP Stack Weekly 28 Jan 2023
- FLiP Stack Weekly 28-Jan-2023
- Show HN: Clamshell- an experimental Python based shell
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Clamshell- an experimental, interactive shell
Check it out here!
- Clamshell- an experimental, interactive daily shell
imaginAIry
- Show HN: Launch StableStudio local inference in one commmand
- imaginairy 12.0. diffusion upscaling, image shuffling, controlnet 1.1 for any SD 1.5 model
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I Used Stable Diffusion and Dreambooth to Create an Art Portrait of My Dog
Stable Diffusion works fine on a CPU - on an AMD Ryzen 5700, approx 90s per image (and I believe comparable or faster on my old i7-6700). If you want to kick off a batch in the background while you work on something else, that's plenty fast. (I use: https://github.com/brycedrennan/imaginAIry).
- ControlNet integrated with script-friendly imaginAIry
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What files would I edit to change features / make new features in Automatic 1111?
Yeah, also, rather than messing around with the AUTO1111 UI, maybe learn some Python and how to use this library: https://github.com/brycedrennan/imaginAIry
- Any way to install and use SD via command line instead of GUI?
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Master hacker used “AI via command prompt” to ask what “after death looks like”
this is a real thing https://github.com/brycedrennan/imaginAIry
- FLiP Stack Weekly 28 Jan 2023
- FLiP Stack Weekly 28-Jan-2023
- new in imaginAIry - animations!
What are some alternatives?
shell-genie - Your wishes are my commands
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
logs-benchmark - Logs performance benchmark repo: Comparing Elastic, Loki and SigNoz
stable-diffusion - Latent Text-to-Image Diffusion
streamnative-rest-stocks
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
xontrib-pipeliner - Let your pipe lines flow thru the Python code in xonsh.
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
sematic - An open-source ML pipeline development platform
stable-diffusion-grpcserver - An implementation of a server for the Stability AI Stable Diffusion API
python-functown - Helper library for Azure Function programming
stable-diffusion-webui - Stable Diffusion web UI