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

fudyou

venv "D:\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
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' ~5 ]& Z- |7 o- h( sPython 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
9 @4 i/ F& l+ K% \8 C# zVersion: <none>
Commit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
' d* v" l/ r+ ]) `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 [fc2511737a] from D:\stable-diffusion-webui-directml\models\Stable-diffusion\chilloutmix_NiPrunedFp32Fix.safetensors
  s5 v; t9 D( d$ q5 R+ S) ~" PCreating 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
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4 R5 S) w1 k+ aTo create a public link, set `share=True` in `launch()`.
  u; m* \4 s& p! D: jDiffusionWrapper 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
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Git-2.41.0-64-bit

python-3.10.6-amd64

- x. X8 K% C8 {/ o  c### Installation on Windows 10/11 with NVidia-GPUs using release package
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3 B! t9 @. e# @+ I- q1. 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`.
- J; B( y$ ]! \3. Run `run.bat`.
- u' u+ Z7 e6 l4 ~   > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111 ... -Run-on-NVidia-GPUs)

3 [4 g3 N  q( C### Automatic Installation on Windows

  s* I; \7 Q' \! F( @1. 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".
# r9 n+ I+ E/ I2. Install [git](https://git-scm.com/download/win).
. B0 r  W& H$ z& N6 |7 q9 K0 o' Y3. 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
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. S2 ~% y; w# w# D/ _, y1. Install the dependencies:
  ^/ G- j5 Z8 Z* c7 q
' g* j) x* }# q8 G9 ]```bash
# Debian-based:
7 a  J" d) l3 E( q8 g% [# Msudo apt install wget git python3 python3-venv
# Red Hat-based:
! s2 K7 F! z# n: [/ ssudo dnf install wget git python3
# Z6 w. R* V3 M" X5 @: i$ @, v( i# Arch-based:
% F0 k. i- b) K) I, Y  h1 V; {5 r, Xsudo pacman -S wget git python3
( m) I' |$ Y6 F& x8 j```

. u$ [% T9 F3 t2 C" o0 L  X5 p0 [5 ?2. Navigate to the directory you would like the webui to be installed and execute the following command:

$ U/ M( p/ n0 g```bash
bash <(wget -qO- https://raw.githubusercontent.co ... bui/master/webui.sh)
  j( q9 G/ X9 T```
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% ~: c4 L7 |5 _9 V1 H3. Run `webui.sh`.
4. Check `webui-user.sh` for options.
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### Installation on Apple Silicon
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* V9 X; a3 V& H5 F# ^Find the instructions [here](https://github.com/AUTOMATIC1111 ... on-on-Apple-Silicon).
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## Contributing

Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111 ... i/wiki/Contributing)
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## Documentation
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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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" F( s/ [" P: @0 fLicenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
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- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
% S( p* a" e; {& g! J- GFPGAN - https://github.com/TencentARC/GFPGAN.git
- CodeFormer - https://github.com/sczhou/CodeFormer
  r6 m0 @3 p: c" _9 g- ESRGAN - https://github.com/xinntao/ESRGAN
- SwinIR - https://github.com/JingyunLiang/SwinIR
7 @/ ^+ K/ \1 V9 |6 Z2 g- Swin2SR - https://github.com/mv-lab/swin2sr
- LDSR - https://github.com/Hafiidz/latent-diffusion
: V5 `( O; R- [+ L& r- MiDaS - https://github.com/isl-org/MiDaS
4 }& S3 m  r7 R' z- 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
9 B* z; |" G- @+ n: X- ^- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
' k4 E, X- d+ y, x8 V4 o2 C* I- Idea for Composable Diffusion - https://github.com/energy-based- ... sion-Models-PyTorch
( g/ o. J4 _# m" g- Q- 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)
2 H3 u/ S  U2 E% h- e# t# C- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
- Security advice - RyotaK
. C& o% N# [4 b: I2 d+ u: K- 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)
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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