stable-diffusion-webui-directml AMD专用版2023/6/17

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venv "D:\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
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Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: <none>
$ L  x) @" c0 F7 MCommit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
% W% y- n7 }$ G- aInstalling requirements
Launching Web UI with arguments: --autolaunch
No module 'xformers'. Proceeding without it.
9 G* C3 C) F+ f" [Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
( Q& p8 m0 M2 U& w! _9 \+ M( fLoading weights [fc2511737a] 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
5 `' k) }! L. Y2 F$ d1 cRunning on local URL:  http://127.0.0.1:7860
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  s+ h) {4 K8 @8 V) S! R( q' ]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).
/ F, J) M/ k9 v- L- ILoading 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
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Git-2.41.0-64-bit
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python-3.10.6-amd64

### Installation on Windows 10/11 with NVidia-GPUs using release package
7 m$ n( I$ p2 |# W' z% S! r# E
0 @; ]9 e4 R3 t; H6 e! v6 p# r1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111 ... ases/tag/v1.0.0-pre) and extract it's contents.
2. Run `update.bat`.
# d, y% w( H! V2 |- [5 m$ @! n2 A3. Run `run.bat`.
2 _0 O. a! O$ z* K   > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111 ... -Run-on-NVidia-GPUs)
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/ w4 ?# m: J$ O5 S$ z5 }4 [$ H### Automatic Installation on Windows

: {$ l* {* E1 z1 g/ d/ O1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
2. Install [git](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`.
/ _, N' ?) Q8 ]3 f9 D5 j2 T6 o4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.

5 ?% _8 k1 L. L### Automatic Installation on Linux
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5 J( k. p" J3 }1. Install the dependencies:
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```bash
# Debian-based:
sudo apt install wget git python3 python3-venv
- Z+ M7 I) g- D) o# Red Hat-based:
sudo dnf install wget git python3
# Arch-based:
7 E% P6 C7 A2 J- E9 Ysudo pacman -S wget git python3
```

0 v6 q3 z" R0 v: S: m) _. i2. Navigate to the directory you would like the webui to be installed and execute the following command:

```bash
) S3 K; A" s% v3 wbash <(wget -qO- https://raw.githubusercontent.co ... bui/master/webui.sh)
* W# a* a6 ]) ?  b1 J+ E6 N```
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3. Run `webui.sh`.
7 o' d9 Z  K" W( e0 l+ N4. Check `webui-user.sh` for options.

### Installation on Apple Silicon
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3 L1 Q1 p( [% x  J8 N8 V& TFind the instructions [here](https://github.com/AUTOMATIC1111 ... on-on-Apple-Silicon).

" T5 |$ @) q& n- p7 r2 O8 ^## Contributing
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Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111 ... i/wiki/Contributing)

  H- E  j- k" c9 z7 q# E: k## Documentation

The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
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## Credits
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1 I) [, }# j" k7 E3 kLicenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
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/ ^/ a$ T. |0 V: K. C+ e- 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
' J; w* _5 O$ U. I* W- SwinIR - https://github.com/JingyunLiang/SwinIR
- Swin2SR - https://github.com/mv-lab/swin2sr
- LDSR - https://github.com/Hafiidz/latent-diffusion
+ z' _& K1 S6 g; Y" V* b- 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
6 `. M) L7 H9 m7 y# x7 U- 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
# W% Y+ d4 U' G. J2 G  a- Security advice - RyotaK
/ N; i4 a  f2 i0 V' T0 r1 M9 G- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
* t$ u- ^3 b$ B$ V- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
( n( D0 j& o% V- Olive - https://github.com/microsoft/Olive
- (You)
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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-bit

2.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

gn01127083

下載.看好不好用