text2image-gui
conda
text2image-gui | conda | |
---|---|---|
23 | 30 | |
903 | 6,092 | |
- | 0.6% | |
9.3 | 9.8 | |
4 months ago | 1 day ago | |
C# | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
text2image-gui
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Why does Stable diffusion ""nmkd"" not see .safetensors format?
I read github
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I mad a python script the lets you scribble with SD in realtime
With the AMD guide
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'Everyone and Their Dog is Buying GPUs,' Musk Says as AI Startup Details Emerge
You can find NMKD here, and the readme should be quite simple to get it to work on your own machine for a basic SD setup: https://github.com/n00mkrad/text2image-gui
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I get ".safetensors" instead of ".ckpt" when downloading models?
So assuming you are suing the "NMKD" GUI i found an existing issue on the github page: The Issue.
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ELI5: Can Someone Give Me Some Simple Steps To Get Started On A Local Install?
Source code is available here if you want to check that out, the download for the precompiled program is on itch.io.
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HELPP sorry losing my mind here (i have a mx150 gpu which IS cuda compatible) also after that last line nothing happens!
The 1024x572 was from a comment talking about NMKD ,that mentions using OptimiseSD may run on less than 4GB.
- Looking for download link to NMKD 1.7.* for a friend anyone have one?
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So i wanted to ask it this a good requirements to download SD or I can't
Be sure to read the system requirements and the special AMD GPU info page.
- Update 1.7.0 of my Windows SD GUI is out! Supports VAE selection, prompt wildcards, even easier DreamBooth training, and tons of quality-of-life improvements. Details in comments.
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Dreambooth in Automatic1111 or locally?
Easiest way I have seen so far, working well for me. https://github.com/n00mkrad/text2image-gui/blob/main/DreamBooth.md
conda
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How to Create Virtual Environments in Python
Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
- Why does creating my conda environment use so much memory?
- Installing Anaconda on ChromeOS using Linux
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PSA: conda-libmamba-solver can cut two hours off of your Anaconda install, but has only 47 GitHub stars. It deserves more praise.
conda's dependency solver solves a harder problem than pip's. This quote alludes to it "Conda will never be as fast as pip, so long as we're doing real environment solves and pip satisfies itself only for the current operation." (from https://github.com/conda/conda/issues/7239). Thus mamba was created to improve performance and now conda is bringing in that performance boost.
- Is Anaconda still open source?
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How to get the best Conda environment experience in Codespaces
The other challenge I ran into sometimes was that if I was running a lower memory/storage Codespace instance, when I tried to use Conda from the command line to modify environments, the process would be killed after a few seconds. This turns out to be related to some performance issues Conda has that make it consume a lot of memory when trying to work with the conda-forge installation channel. You can always then just increase the size of the Codespace your are working with (just go to your Codespaces list and use the triple dots to change the settings for a Codespace).
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What is the status of Python 3.11?
It's worth noting that [ana]conda isn't even fully compatible yet with 3.11 (you can use it to create 3.11 environments--and you really should rather than waiting on relying on the system python--but conda itself can only run on 3.10.
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Miniconda finally released for Python 3.10
It took some time but as great Christmas present Miniconda was finally released with Python 3.10!
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TW: ZSH (and BASH?) does not show current working dir etc anymore
The September update broke it.
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Python 3.11.0 is now available
According to this this issue is high on their priority list (whatever that means).
What are some alternatives?
dreambooth-gui
mamba - The Fast Cross-Platform Package Manager
ai-notes - notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
Poetry - Python packaging and dependency management made easy
stable-diffusion-webui - Stable Diffusion web UI
miniforge - A conda-forge distribution.
gimp-stable-diffusion
PDM - A modern Python package and dependency manager supporting the latest PEP standards
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
stable-diffusion
pip - The Python package installer