Lora-for-Diffusers
OneTrainer
Lora-for-Diffusers | OneTrainer | |
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2 | 3 | |
707 | 1,191 | |
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1.0 | 9.7 | |
about 1 month ago | about 20 hours ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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Lora-for-Diffusers
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Question for LoRA pros
Check this out: https://github.com/haofanwang/Lora-for-Diffusers I assume you created your .safetensors LoRA model with GUI. You can't directly use safetensors like "pipe.unet.load_attn_procs(model_path) " (at least for now). Just check the link
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LoRA? ControlNet? T2I-Adapter? All in Diffusers now!
(1) [LoRA for diffusers]: https://github.com/haofanwang/Lora-for-Diffusers
OneTrainer
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Now You Can Full Fine Tune / DreamBooth Stable Diffusion XL (SDXL) with only 10.3 GB VRAM via OneTrainer
Used SG161222/RealVisXL_V4.0 as a base model and OneTrainer to train on Windows 10 : https://github.com/Nerogar/OneTrainer
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Need explanation with training
There is one trainer too https://github.com/Nerogar/OneTrainer There is a discord for onetrainer too with helpful people https://discord.gg/YHgd2hGyYk
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Playground v2: A new leap in creativity
Install OneTrainer if you don't have it: https://github.com/Nerogar/OneTrainer
What are some alternatives?
batch-face-swap - Automaticaly detects faces and replaces them
Dreambooth - Fine-tuning of diffusion models
stable-diffusion-webui-stable-horde - Stable Horde client for AUTOMATIC1111's Stable Diffusion Web UI
zero123plus - Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
ControlNet-for-Diffusers - Transfer the ControlNet with any basemodel in diffusers🔥
T2I-Adapter-for-Diffusers - Transfer the T2I-Adapter with any basemodel in diffusers🔥
multi-subject-render - Generate multiple complex subjects all at once!
stable-diffusion-webui-daam - DAAM for Stable Diffusion Web UI
Anti-DreamBooth - Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)
PromptGallery-stable-diffusion-webui - A prompt cookbook worked as stable-diffusion-webui extenstions.
LLM-groundedDiffusion - LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD)
StableFusion - Transform text into images and images into new ones using AI. Our user-friendly web app, built with Diffusion, Python, and Streamlit, offers customizable outputs in various styles and formats