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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Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: <none>
7 {- J+ E7 O* v# eCommit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
- y+ V9 ^# R) L: M1 VInstalling requirements
6 D0 V/ j! l2 X" s) T: k# `Launching Web UI with arguments: --autolaunch
No module 'xformers'. Proceeding without it.
7 I, z0 V) y* xWarning: 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
Creating model from config: D:\stable-diffusion-webui-directml\configs\v1-inference.yaml
3 H8 W  \5 C0 E1 c6 A9 U8 @* QLatentDiffusion: Running in eps-prediction mode
. [( D8 L! y1 IRunning 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):
% I' q& _7 B: @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
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### Installation on Windows 10/11 with NVidia-GPUs using release package
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1. 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`.
3. Run `run.bat`.
   > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111 ... -Run-on-NVidia-GPUs)

$ A: p4 B/ }/ v1 M* U### Automatic Installation on Windows
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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".
/ d" N, G9 x6 g, r, ?4 t2. 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`.
2 J* @- O# R. D0 d2 o0 U$ O7 u4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.

### Automatic Installation on Linux
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. f& S9 C# `- Y' d1 `1. Install the dependencies:
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. t7 d4 V5 l6 v' ^5 }. k& _```bash
2 Z' S; H( j* Y* r: K% }) Q5 J# Debian-based:
3 |8 A( \7 K0 j" ?2 U- ^+ Qsudo apt install wget git python3 python3-venv
) {& x3 c8 l7 ^2 i# Red Hat-based:
sudo dnf install wget git python3
# Arch-based:
sudo pacman -S wget git python3
```
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# `) A# n9 [" @# c6 u6 X; w* L2. Navigate to the directory you would like the webui to be installed and execute the following command:

7 \" V# c, D( k& B' b! _```bash
, I( `8 E6 g  k; g8 a. Ibash <(wget -qO- https://raw.githubusercontent.co ... bui/master/webui.sh)
```
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3. Run `webui.sh`.
4. Check `webui-user.sh` for options.
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### Installation on Apple Silicon
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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)

. H* P( R/ i. v0 L$ \* \5 m3 K8 A/ P## Documentation

The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).

## Credits

' l) u( ^! U- `) G1 v" ~  _Licenses 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
8 ^3 y& o$ ?: q  m$ ^- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
- GFPGAN - https://github.com/TencentARC/GFPGAN.git
1 q, v/ x, O( j$ K4 J5 B- CodeFormer - https://github.com/sczhou/CodeFormer
* v' O' E  i, ?$ f" P- ESRGAN - https://github.com/xinntao/ESRGAN
- SwinIR - https://github.com/JingyunLiang/SwinIR
- R* t- n6 I/ {& F5 k6 V% Z! V- Swin2SR - https://github.com/mv-lab/swin2sr
- LDSR - https://github.com/Hafiidz/latent-diffusion
( z. m$ b( ^* L0 {% ^# z6 x8 d- 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.
4 C3 c: ~$ ?$ H: {; V7 [# t0 M- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
2 \* G5 b" P/ T/ z, z- 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
# w  u+ V$ n; _4 R% A7 O- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
0 ~$ _) f1 |; O- Idea for Composable Diffusion - https://github.com/energy-based- ... sion-Models-PyTorch
/ F3 o# K0 h% t; S$ k; p- xformers - https://github.com/facebookresearch/xformers
- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
& i5 C; P1 e0 Y' ~/ @- 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)
) c! \+ G* n9 D$ [% M9 o- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
/ B* @" M) M' O' b7 x3 D4 c- Security advice - RyotaK
- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
' f$ U! T% g- G4 x. J2 C- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
- Olive - https://github.com/microsoft/Olive
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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