stable-diffusion-webui-directml AMD专用版2023/6/17
venv "D:\stable-diffusion-webui-directml\venv\Scripts\Python.exe"fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug1 2022, 21:53:49)
Version: <none>
Commit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
Installing requirements
Launching Web UI with arguments: --autolaunch
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Loading weights from D:\stable-diffusion-webui-directml\models\Stable-diffusion\chilloutmix_NiPrunedFp32Fix.safetensors
Creating model from config: D:\stable-diffusion-webui-directml\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Running on local URL:http://127.0.0.1:7860
To create a public link, set `share=True` in `launch()`.
DiffusionWrapper has 859.52 M params.
Startup time: 15.1s (import torch: 3.6s, import gradio: 2.8s, import ldm: 1.0s, other imports: 4.4s, setup codeformer: 0.1s, load scripts: 1.7s, create ui: 0.7s, gradio launch: 0.7s).
Loading VAE weights found near the checkpoint: D:\stable-diffusion-webui-directml\models\VAE\chilloutmix_NiPrunedFp32Fix.vae.ckpt
Applying optimization: InvokeAI... done.
Textual inversion embeddings loaded(0):
Model loaded in 5.6s (load weights from disk: 1.1s, create model: 0.8s, apply weights to model: 0.9s, apply half(): 0.5s, load VAE: 0.6s, move model to device: 1.5s).
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version: • python: 3.10.6 • torch: 2.0.0+cpu • xformers: N/A • gradio: 3.31.0 • checkpoint: fc2511737a
Git-2.41.0-64-bit
python-3.10.6-amd64
### Installation on Windows 10/11 with NVidia-GPUs using release package
1. Download `sd.webui.zip` from (https://github.com/AUTOMATIC1111 ... ases/tag/v1.0.0-pre) and extract it's contents.
2. Run `update.bat`.
3. Run `run.bat`.
> For more details see (https://github.com/AUTOMATIC1111 ... -Run-on-NVidia-GPUs)
### Automatic Installation on Windows
1. Install (https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
2. Install (https://git-scm.com/download/win).
3. Download the stable-diffusion-webui-directml repository, for example by running `git clone https://github.com/lshqqytiger/s ... ebui-directml.git`.
4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
### Automatic Installation on Linux
1. Install the dependencies:
```bash
# Debian-based:
sudo apt install wget git python3 python3-venv
# Red Hat-based:
sudo dnf install wget git python3
# Arch-based:
sudo pacman -S wget git python3
```
2. Navigate to the directory you would like the webui to be installed and execute the following command:
```bash
bash <(wget -qO- https://raw.githubusercontent.co ... bui/master/webui.sh)
```
3. Run `webui.sh`.
4. Check `webui-user.sh` for options.
### Installation on Apple Silicon
Find the instructions (https://github.com/AUTOMATIC1111 ... on-on-Apple-Silicon).
## Contributing
Here's how to add code to this repo: (https://github.com/AUTOMATIC1111 ... i/wiki/Contributing)
## Documentation
The documentation was moved from this README over to the project's (https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
## Credits
Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
- GFPGAN - https://github.com/TencentARC/GFPGAN.git
- CodeFormer - https://github.com/sczhou/CodeFormer
- ESRGAN - https://github.com/xinntao/ESRGAN
- SwinIR - https://github.com/JingyunLiang/SwinIR
- Swin2SR - https://github.com/mv-lab/swin2sr
- LDSR - https://github.com/Hafiidz/latent-diffusion
- MiDaS - https://github.com/isl-org/MiDaS
- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
- Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
- Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
- Idea for Composable Diffusion - https://github.com/energy-based- ... sion-Models-PyTorch
- xformers - https://github.com/facebookresearch/xformers
- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
- Security advice - RyotaK
- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
- Olive - https://github.com/microsoft/Olive
- (You)
https://cloud.189.cn/t/FvqQbeZfYrui (访问码:9ur0)必先安装运行环境:(安装包在网盘根目录下)1.Git-2.41.0-64-bit2.python-3.10.6-amd64,注意安装时选中安装"Add Python to PATH"3.启动器运行依赖。net-dotnet-6.0.11以上运行环境安装完毕后,打开根目录"webui-user.bat"等待数秒即可打开stable-diffusion-webui,若然是系统自带IE浏览器打开的话,需要手动指定版本更高的Edge进入地址:http://127.0.0.1:7860 下載.看好不好用:)
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