stable-diffusion
stable-diffusion-intel-mac
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stable-diffusion | stable-diffusion-intel-mac | |
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8 | 1 | |
435 | 109 | |
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0.0 | 10.0 | |
11 months ago | over 1 year ago | |
Jupyter Notebook | ||
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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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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...
stable-diffusion-intel-mac
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Run Stable Diffusion on Your M1 Mac’s GPU
Comment from github: "By the way, i confirmed to work on my Intel 16-in MacBook Pro via mps. GPU (Radeon Pro 5500M 8GB) usage is 70-80% and It takes 3 min where --n_samples 1 --n_iter 1. My repo https://github.com/cruller0704/stable-diffusion-intel-mac"
What are some alternatives?
stable_diffusion.openvino
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
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]
sd-webui-colab - A repo for the maintenance of the Colab version of stable-diffusion-webui repo
stable-diffusion - A latent text-to-image diffusion model
invisible-watermark - python library for invisible image watermark (blind image watermark)
stable-diffusion-rocm
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]
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.