ai-notes
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| stable-diffusion | ai-notes | |
|---|---|---|
| 8 | 15 | |
| 436 | 4,510 | |
| - | - | |
| 0.0 | 9.8 | |
| 12 months ago | 9 days ago | |
| HTML | ||
| GNU General Public License v3.0 or later | 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.
stable-diffusion
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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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Using the same seed and same prompt is still resulting in two different images?
I've cloned this repository on my M1 Mac: https://github.com/bfirsh/stable-diffusion/tree/apple-silicon-mps-support
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Run Stable Diffusion on Your M1 Mac’s GPU
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.
ai-notes
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Minimal implementation of Mamba, the new LLM architecture, in 1 file of PyTorch
the field just moves fast. I have curated a list of non-hypey writers and youtubers who explain these things for a typical SWE audience if you are interested. https://github.com/swyxio/ai-notes/blob/main/Resources/Good%...
- SDXL Turbo: A Real-Time Text-to-Image Generation Model
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DeepEval – Unit Testing for LLMs
added to my notes! https://github.com/swyxio/ai-notes/
- ChatGPT Code Interpreter Capabilities
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Google just released a 100% free learning path on Generative AI with 9 Courses
and here are mine, organized by beginner/intermediate/advanced
https://github.com/swyxio/ai-notes/blob/main/README.md#top-a...
and then you can go into the individual modality specific notes for more reading
- Show HN: Self-host Whisper As a Service with GUI and queueing
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Show HN: YouTube Summaries Using GPT
there's https://learnprompting.org/
i've also been keeping a popular series of notes https://github.com/sw-yx/ai-notes/blob/main/TEXT_PROMPTS.md
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Show HN: I reverse prompt engineered every Notion AI feature
Direct link to the source prompts are here: https://github.com/sw-yx/ai-notes/blob/main/Resources/Notion...
- GitHub - sw-yx/prompt-eng: notes for prompt engineering
- My hand-curated list of major distros and forks of Stable Diffusion. Please suggest anything I missed!
What are some alternatives?
stable_diffusion.openvino
text2image-gui - Somewhat modular text2image GUI, initially just for Stable Diffusion
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
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.
sd-webui-colab - A repo for the maintenance of the Colab version of stable-diffusion-webui repo
m1_huggingface_diffusers_demo - Demo of how to get HuggingFace Diffusers working on an M1 Mac
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]
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
invisible-watermark - python library for invisible image watermark (blind image watermark)
perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
stable-diffusion - A latent text-to-image diffusion model