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

fudyou

venv "D:\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
$ ]1 j3 A4 }; f, c* o2 o) }. q# xfatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: <none>
Commit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
Installing requirements
, v3 p0 x, ~2 k4 Y6 x, O0 ?8 LLaunching 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
Creating model from config: D:\stable-diffusion-webui-directml\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
: d/ ^9 f4 k- q# JRunning 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).
. K2 D: D& J3 OLoading VAE weights found near the checkpoint: D:\stable-diffusion-webui-directml\models\VAE\chilloutmix_NiPrunedFp32Fix.vae.ckpt
Applying optimization: InvokeAI... done.
& u) O# O& ^" b9 YTextual 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
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0 T. a; m* D. y! d. K" p7 e  Y### Installation on Windows 10/11 with NVidia-GPUs using release package

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.
, x* T( m6 S. |- M* y  p2. Run `update.bat`.
3. Run `run.bat`.
; [$ J( t6 h7 ?( j; k( I4 _   > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111 ... -Run-on-NVidia-GPUs)

### 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".
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`.
% a7 r5 h7 f$ g2 u: ?$ T4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.

% ^4 f# o9 R; ]7 E6 P: D# ]& C* p# j### Automatic Installation on Linux

# ~, n! f" X. i- H* g  H' n. N1. Install the dependencies:
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5 O" A8 A. L: a$ m, Z/ b9 e```bash
# Debian-based:
sudo apt install wget git python3 python3-venv
; e& s. X4 H8 \* g: t# k# Red Hat-based:
- m7 R# b. e& rsudo dnf install wget git python3
# Arch-based:
0 Z: s: [8 N4 W1 Q4 Vsudo pacman -S wget git python3
```
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2. Navigate to the directory you would like the webui to be installed and execute the following command:
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```bash
bash <(wget -qO- https://raw.githubusercontent.co ... bui/master/webui.sh)
! x1 E; e& {3 `$ F4 M2 D9 d```
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  p- \. i0 O+ h# c8 U3. Run `webui.sh`.
4. Check `webui-user.sh` for options.

3 S6 D) S: ?; }; @0 {### Installation on Apple Silicon
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Find the instructions [here](https://github.com/AUTOMATIC1111 ... on-on-Apple-Silicon).

## Contributing

Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111 ... i/wiki/Contributing)
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## Documentation

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

2 I' t* y" X: P" N$ ]7 i; y- l# C' {## Credits

; D0 X# w  c, cLicenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.

3 z. Q4 u8 B/ A' b: f; }- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
* G; j+ X. w: S7 E% \' \- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
* W' }7 Z- y$ ?. g& A- GFPGAN - https://github.com/TencentARC/GFPGAN.git
- CodeFormer - https://github.com/sczhou/CodeFormer
8 k6 f5 |* F/ ]8 R" \- ESRGAN - https://github.com/xinntao/ESRGAN
- SwinIR - https://github.com/JingyunLiang/SwinIR
9 x* X" B% J: u. L1 p& V4 C- Swin2SR - https://github.com/mv-lab/swin2sr
- LDSR - https://github.com/Hafiidz/latent-diffusion
/ P# K# H0 \4 T- 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)
& ~5 ^5 v3 z" _) \% d- 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).
* F' K! h8 o* p6 f2 I; o3 q- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
9 K9 t0 Z1 }0 U; K$ ^. P- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
4 }9 {: b/ [9 L+ Q, O' D* o7 o- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
" c# T! V' C; F# a- [# p- Idea for Composable Diffusion - https://github.com/energy-based- ... sion-Models-PyTorch
- xformers - https://github.com/facebookresearch/xformers
! Q" u  A  T. P# a4 Y5 k6 H$ o- 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)
. C& l4 e, p5 W8 i) x- u! I- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
3 ]" y  ]  a, m9 N- }- Security advice - RyotaK
6 v- H/ g' }5 p8 {- G. Z8 _- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
- X. W8 J% t  _- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
7 V# P0 e, @% m' `- 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