gpt-j-fine-tuning-example
Dreambooth
gpt-j-fine-tuning-example | Dreambooth | |
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1 | 2 | |
63 | 94 | |
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10.0 | 0.0 | |
over 1 year ago | about 1 year ago | |
Jupyter Notebook | Python | |
- | Apache License 2.0 |
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gpt-j-fine-tuning-example
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getting Mycroft AI to work with...AI?
You can also fine-tune these, https://www.forefront.ai/blog-posts/how-to-fine-tune-gpt-j https://github.com/gustavecortal/gpt-j-fine-tuning-example
Dreambooth
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What's the best current solution for training a LORA model?
This is the one I meant https://github.com/brian6091/Dreambooth
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Dreambooth training scripts
Sorry for the delay. I’ve been using a notebook I wrote. You can try it out here: https://github.com/brian6091/Dreambooth
What are some alternatives?
text-generation-webui-colab - A colab gradio web UI for running Large Language Models
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
comfyui-colab - comfyui colabs templates new nodes
invoke-ai-gui-colab - An attempt to run latest release of Invoke Ai's web gui through Google Colab
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
malayalam_english_subtitle_generator - Malayalam to English Subtitle Generator for audio files using OpenAI's Whisper.
BLOOM-fine-tuning - Finetune BLOOM
OneTrainer - OneTrainer is a one-stop solution for all your stable diffusion training needs.
whisper-youtube - 🔉 Youtube Videos Transcription with OpenAI's Whisper
safetensors_util - Utility for Safetensors Files
stable-diffusion-interactive-notebook - A Jupyter widgets-based interactive notebook for Google Colab to generate images using Stable Diffusion.
NeTI - Official Implementation for "A Neural Space-Time Representation for Text-to-Image Personalization" (SIGGRAPH Asia 2023)