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--- |
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license: bsd |
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language: |
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- es |
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- en |
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pipeline_tag: text-to-image |
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tags: |
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- code |
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- art |
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- stable diffusion |
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--- |
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<br> |
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<center> |
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<h1> |
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I hope it is of total help, you can support me on my networks, to continue bringing more tools for SD </h1> |
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</center> |
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<br> |
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# Stable Diffusion in Colab - Code Base |
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[](https://twitter.com/Luminesco_) |
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[Version en Español](https://huggingface.co/GeneralGost/monitor/blob/main/README-ESP.md) |
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## Resources included |
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- Python script to automate the download of Stable DIffusion with extensions and dependencies already packaged |
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- Folder intended for Version Testing |
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- Folder Updated ControlNet Models |
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## Upcoming Updates |
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- Automated script to download Models and other files from websites like HuggingFace and Civitai |
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- Implementation of downloading Extensions for SD |
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- Connection with Google Drive to export results |
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## How to use this repository |
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1. Copy the code below into a new Google Colab Notebook like this: Menu - File/New Notebook |
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2. Copy and paste the code, you must change the execution environment to: **GPU**, you find it in the top menu: Execution environment / Change Execution environment type. |
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``` python |
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# @title Ejecuta la celda no preguntes nada mas {display-mode: "form"} |
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#@markdown ## Espera el enlace |
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from IPython.utils import capture |
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with capture.capture_output() as cap: |
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!sudo apt-get install liblz4-tool |
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%cd /content |
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!wget --header='Authorization: Bearer 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' https://huggingface.co/GeneralGost/monitor/resolve/main/dist.tar.lz4 |
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!tar -xI lz4 -f dist.tar.lz4 --directory=/ |
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!rm -rf /content/dist.tar.lz4 |
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del cap |
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print("🚀 Descargando SD modificado por Generalgost... Por favor, no detengas este proceso bajo ninguna circunstancia...\n", end='') |
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!python /content/dist/engine.py |
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``` |
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3. In the tests carried out, the Colab lasted more than an hour, keep that in mind. |
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### If you need to use a new account for Colab, please repeat the previous process. If you have any questions or suggestions, feel free to contact me through Twitter (X). |
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## Recommendations |
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1. You should copy the code to a new Colab Notebook to avoid tracking issues. |
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2. Partial or complete reproduction of the code is prohibited, since doing so would generate massive detection of the shared code. |
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3. Use this code sparingly, taking care of execution times to avoid tracebacks |
