iptcinfo3
iptcinfo working for python 3 finally do pip3 install iptcinfo3 (by james-see)
stable-diffusion
Optimized Stable Diffusion modified to run on lower GPU VRAM (by basujindal)
| iptcinfo3 | stable-diffusion | |
|---|---|---|
| 1 | 186 | |
| 51 | 3,148 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | 8 months ago | |
| Python | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
iptcinfo3
Posts with mentions or reviews of iptcinfo3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-08.
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EXIF, IPTC and/or XMP metadata to store image generation parameters: which one is the best?
You need to install iptcinfo3: if you are using Anaconda, open a prompt and after conda activate ldm install the latest version from GitHub with pip install git+https://github.com/james-see/iptcinfo3#egg=iptcinfo3
stable-diffusion
Posts with mentions or reviews of stable-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-27.
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Possible to load Civitai models in basujindal optimizedSD fork?
I am using this repo: https://github.com/basujindal/stable-diffusion and it works fine with e.g. this model: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
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40min to render 2x 256x256 pictures ..
That includes this optimized version : https://github.com/basujindal/stable-diffusion
- [Stable Diffusion] Coincé chez Unet: courir en mode EPS-Prédiction
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How to use safetensors locally (optimized-sd)?
Ah, I wasn't aware of that. I use this version, which was very easy to set up and use by CLI.
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[Stable Diffusion] stabile Diffusion 1.4 - CUDA-Speicherfehler
Used repo recommended in https://github.com/CompVis/stable-diffusion/issues/39 to use https://github.com/basujindal/stable-diffusion - same result.
- [Stable Diffusion] Aide avec Cuda hors de mémoire
- [Stable Diffusion] Comment créer notre propre modèle?
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Help installing optimisedSD please. Thank you so much!
As per the best solution I found, I have download this (https://github.com/basujindal/stable-diffusion) version and pasted the optimizedSD folder in the main (user>stable-diffusion-webui) folder as per site instruction.
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Stable Diffusion Web UI: Using Optimized SD Post-Installation
The git says you can simply grab the OptimizedSD folder and paste it into the installation path, which I did. However, I'm not sure how to call upon its functionality. Again, the reddit post says >Remember to call the optimized python script python optimizedSD/optimized_txt2img.py instead of standard scripts/txt2img. Though I'm not even sure where that script call is performed. Any ideas? Thanks in advance!
- [Stablediffusion] diffusion stable 1.4 - Erreur CUDA de mémoire insuffisante