原理
Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database. Similar to Google’s Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM.
本地部署
env requirement:
models
- GFPGAN 腾讯开源的人像修复算法
- VAE (Variational Auto-Encoder 变分自编码器)
- LoRA (Low-Rank Adaptation of Large Language Models) 自然语言处理
- DeepBooru
vas
tags
korean doll
nagetive prompt
paintings, sketchers, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans
troubleshooting
not enough GPU memory
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set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS= --lowvram --no-half --precision full --no-half-vae --opt-sub-quad-attention --opt-split-attention-v1 --autolaunch
call webui.bat
No python at “D:\Program Files\Anaconda3\env\py310\Python.exe”
删除项目env下除Libs外的所有文件 重新执行webui.bat资源