개요
提供基于 Web 的全面用户界面,用于使用稳定扩散模型生成图像。支持文本转图像、图像转图像、修复、放大以及提示编辑、注意力控制和自定义脚本等众多高级功能。
README 미리보기
# Stable Diffusion web UI\r\nA web interface for Stable Diffusion, implemented using Gradio library.\r\n\r\n\r\n\r\n## Features\r\n[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):\r\n- Original txt2img and img2img modes\r\n- One click install and run script (but you still must install python and git)\r\n- Outpainting\r\n- Inpainting\r\n- Color Sketch\r\n- Prompt Matrix\r\n- Stable Diffusion Upscale\r\n- Attention, specify parts of text that the model should pay more attention to\r\n - a man in a `((tuxedo))` - will pay more attention to tuxedo\r\n - a man in a `(tuxedo:1.21)` - alternative syntax\r\n - select text and press `Ctrl+Up` or `Ctrl+Down` (or `Command+Up` or `Command+Down` if you're on a MacOS) to automatically adjust attention to selected text (code contributed by anonymous user)\r\n- Loopback, run img2img processing multiple times\r\n- X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters\r\n- Textual Inversion\r\n - have as many embeddings as you want and use any names you like for them\r\n - use multiple embeddings with different numbers of vectors per token\r\n - works with half precision floating point numbers\r\n - train embeddings on 8GB (also reports of 6GB working)\r\n- Extras tab with:\r\n - GFPGAN, neural network that fixes faces\r\n - CodeFormer, face restoration tool as an alternative to GFPGAN\r\n - RealESRGAN, neural network upscaler\r\n - ESRGAN, neural network upscaler with a lot of third party models\r\n - SwinIR and Swin2SR ([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers\r\n - LDSR, Latent diffusion super resolution upscaling\r\n- Resizing aspect ratio options\r\n- Sampling method selection\r\n - Adjust sampler eta values (noise multiplier)\r\n - More advanced noise setting options\r\n- Interrupt processing at any time\r\n- 4GB video card suppor
FAQ (2)
문제 해결macOS에서 Stable Diffusion webui를 실행할 때 'RuntimeError: Couldn't install clip' 오류를 고치는 방법은?
문제 해결
macOS에서 Stable Diffusion webui를 실행할 때 'RuntimeError: Couldn't install clip' 오류를 고치는 방법은?이 오류는 pip이 URL에서 openai/CLIP 의존성을 설치하지 못할 때 발생합니다. 해결 방법: 1. CLIP 저장소를 수동으로 클론합니다: git clone https://github.com/openai/CLIP.git. 2. 가상 환경의 pip을 사용하여 설치합니다: ./stable-diffusion-webui/venv/bin/pip install ./CLIP. 3. ./webui.sh를 다시 실행합니다. 설치 프로그램이 CLIP이 이미 존재하므로 건너뜁니다.
문제 해결RX 7600 XT와 PyTorch ROCm 6.0에서 HSA_STATUS_ERROR_INVALID_ISA를 수정하는 방법은?
문제 해결
RX 7600 XT와 PyTorch ROCm 6.0에서 HSA_STATUS_ERROR_INVALID_ISA를 수정하는 방법은?PyTorch 2.2.0과 ROCm 5.7로 다운그레이드하고 HSA_OVERRIDE_GFX_VERSION=11.0.0을 설정하세요. ROCm 6.0은 gfx1102(RX 7600 시리즈)에 대한 안정적인 지원이 부족합니다. 문제가 해결될 때까지 5.7을 사용하세요.