Kohya Colabs
Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf.
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| 🇬🇧 English | 🇪🇸 Spanish | |
|---|---|---|
| 📊 Dataset Maker |  |
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| ⭐ Lora Trainer | |
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| 🌟 XL Lora Trainer | |
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| Lora making Guide | Click Here | - |
| Stable Diffusion guide | Click Here | Click Aquí |
📊 Dataset Maker - Features
- Able to scrape hundreds of images from the popular anime gallery Gelbooru, that match the conditions set by the user.
- Finds duplicate images using the FiftyOne open-source software.
- Displays the user's dataset back to them through the FiftyOne interface so that they may manually curate their images.
- Able to generate tags for all your anime images using the Waifu Diffusion 1.4 Tagger model.
- Able to generate captions for all your images using the BLIP model.
- Gives you the ability to edit hundreds of text files at once, to add/remove/replace tags inside them dynamically.
- Works inside your Google Drive by default.
- Connects easily with Lora Trainer.
⭐ Lora Trainer - Features
- Can train LoRA and LoCon for Stable Diffusion 1.5, includes a few model options for anime.
- One click to install and start training.
- Offers all useful training parameters while keeping it simple and accessible.
- Helpful parameter descriptions and runtime messages.
- Allows you to optionally define multiple folders for training.
- Uses the latest technologies to load and train quickly.
- Works inside your Google Drive by default and connects easily with Dataset Maker.
🌟 XL Lora Trainer
- Can train LoRA and LoCon for Stable Diffusion XL, includes a few model options for anime.
- One click to install and start training.
- Can work with multiple colab configurations, including T4 (free) and A100.
- Offers most parameters while setting useful values behind the scenes to keep it simple.
- Allows you to optionally define multiple folders for training.
- Uses the latest technologies to load and train quickly.
- Works inside your Google Drive by default and connects easily with Dataset Maker.
