Opening Discussions Hollowstrawberry Kohya Colab Github

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There was an error while loading. Please reload this page. You may ask questions, give suggestions, discuss the trainer, share training tips, etc. This page provides a quick start guide for new users of the kohya-colab repository. It covers the prerequisites, initial setup steps, and the basic workflow for preparing a dataset and running your first LoRA training session. For detailed information about dataset preparation techniques, see Dataset Preparation.

For comprehensive training configuration options, see LoRA Training. Before beginning, ensure you have the following: The repository provides multiple notebook entry points hosted on Google Colab. Each notebook can be opened directly in your browser: Alternatively, you can access notebooks directly via Colab URLs formatted as: All notebooks require Google Drive access for persistent storage of datasets, configurations, and trained models.

The mounting process is automatic when you run the first cell of any notebook. Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf. If you need support I now have a public Discord server There was an error while loading. Please reload this page. There was an error while loading.

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There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. I now have a public Discord server. Maybe it's more comfortable for people to use than GitHub.

Link: https://discord.com/invite/hGHnfda Batch crop (1024x1024) and upscale (I use 4x_NMKD-UltraYandere_300k) under the extra tab in WebUI (batch from directory),uploaded to Drive, run through a Dataset maker (https://colab.research.google.com/github/hollowstrawberry/kohya-colab/blob/main/Dataset_Maker.ipynb) send to the XL Trainer (https://colab.research.google.com/github/hollowstrawberry/kohya-colab/blob/main/Lora_Trainer_XL.ipynb), and 10 hours... Ta Da! If you want to make similar LoRAs, and have the means to pay for Colab Pro/Credits, it's as easy as: project name - name your project (you can run this step before uploading to a folder on your drive and it'll make the required path, otherwise you can make the path and upload the... method Anime tags (photo captions does get you results, but for generation I've found the list style of Anime tags to be more effective for creative results)

blacklist tags things you don't want tags (i.e. loli,child,shota,etc...) There was an error while loading. Please reload this page. There was an error while loading. Please reload this page.

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