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Stable-diffusion Alternatives
Similar projects and alternatives to stable-diffusion
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stable-diffusion
This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI] (by lstein)
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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sd-webui-colab
A repo for the maintenance of the Colab version of stable-diffusion-webui repo
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tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
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stable-diffusion-ui
Easiest 1-click way to install and use Stable Diffusion on your own computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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stable-diffusion
Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it. (by magnusviri)
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stable-diffusion-webui
Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui] (by hlky)
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m1_huggingface_diffusers_demo
Demo of how to get HuggingFace Diffusers working on an M1 Mac
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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.
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stable-diffusion-webui
Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui] (by sd-webui)
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invisible-watermark
python library for invisible image watermark (blind image watermark)
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text2image-gui
Somewhat modular text2image GUI, initially just for Stable Diffusion
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sd-buddy
Companion desktop app for the self-hosted M1 Mac version of Stable Diffusion
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SaaSHub
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stable-diffusion reviews and mentions
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DALL·E Now Available Without Waitlist
No, sorry, but there's a whole bunch of one-click things now, I think?
I'm running it on Windows 10 using (a modified version of) https://github.com/bfirsh/stable-diffusion.git and Anaconda to create the environment from their `environment.yaml` (all of which was done using the normal `cmd` shell). Then to use it, I activate that env from `cmd` and switch into cygwin `bash` to run the `txt2img.py` script (because it's easier to script, etc.)
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How do I save the arguments for images I create when using the terminal? (Apple M1 Pro)
I am using the bfirsh version. And yes, I run "pyhthon scripts/txt2imp.py" to generate an image.
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Current canonical way to install Stable Diffusion on Apple Silicon?
Specifically regarding the first option above, I see that the procedure clones the repository from: https://github.com/bfirsh/stable-diffusion.git
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One-Click Install Stable Diffusion GUI App for M1 Mac. No Dependencies Needed
Just done a run on my 3080 under Windows using https://github.com/bfirsh/stable-diffusion.git and it's about 8 iterations/sec when nothing else is using CPU or GPU.
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Run Stable Diffusion on Your M1 Mac’s GPU
Bananas. Thanks so much... to everyone involved. It works.
14 seconds to generate an image on an M1 Max with the given instructions (`--n_samples 1 --n_iter 1`)
Also, interesting small thing: images generated with this script are "invisibly watermarked" i.e. steganographied!
See https://github.com/bfirsh/stable-diffusion/blob/main/scripts...
Boom - nice. Here's a fork with that: https://github.com/bfirsh/stable-diffusion/tree/lstein
Requirements are "requirements-mac.txt" which'll need subbing in the guide.
We're testing this out with a few people in Discord before shipping to the blog post.
Running lstein's fork with these requirements[0] but seeing this output[1]. Same steps as original guide otherwise.
Anyone got any ideas?
[0] https://github.com/bfirsh/stable-diffusion/blob/lstein/requi...
[1] https://gist.github.com/bfirsh/594c50fd9b2e6b173e31de753a842...
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A note from our sponsor - #<SponsorshipServiceOld:0x00007fea5903fe08>
www.saashub.com | 27 Jan 2023
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bfirsh/stable-diffusion is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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