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

fudyou

venv "D:\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
0 J* I$ p/ b6 q9 n6 a; kfatal: 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)]
, o/ a4 d) ~5 ?; j/ @+ YVersion: <none>
Commit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
Installing requirements
- u$ ~! f& [. W' @$ k3 ILaunching Web UI with arguments: --autolaunch
! \4 e& I% ~4 Y/ \0 t# S$ |7 SNo module 'xformers'. Proceeding without it.
, g* s: O# ^# _: i3 sWarning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
) |2 W7 k! E8 f1 vLoading 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
: [( I3 f# a+ _+ T6 Z9 NLatentDiffusion: Running in eps-prediction mode
2 \) z, X) r: }; J1 URunning on local URL:  http://127.0.0.1:7860

! F) x5 T; \+ uTo create a public link, set `share=True` in `launch()`.
DiffusionWrapper has 859.52 M params.
( |0 I0 u& Y8 v9 i8 V7 F0 h. ^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).
/ C2 J+ m) G* S/ XLoading VAE weights found near the checkpoint: D:\stable-diffusion-webui-directml\models\VAE\chilloutmix_NiPrunedFp32Fix.vae.ckpt
, y3 E% a( \( K# N/ x# K& GApplying optimization: InvokeAI... done.
Textual inversion embeddings loaded(0):
& g+ \$ ~# c; K0 rModel 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).

3 t% M7 s7 \0 b/ ^- M- ?) `/ X

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

+ D6 [, u* f! Q7 X( x### Installation on Windows 10/11 with NVidia-GPUs using release package

5 {- x  A) D  w$ z7 f3 m6 u) J1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111 ... ases/tag/v1.0.0-pre) and extract it's contents.
$ A9 A. b$ s* A  v# n( E$ i2. Run `update.bat`.
2 L7 p, U3 s  f% h3. Run `run.bat`.
   > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111 ... -Run-on-NVidia-GPUs)

0 s6 h8 @+ S5 ?) \. z- s& ^2 r' h### Automatic Installation on Windows
! \, u9 u! T) L1 _% P& P  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".
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`.
4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.

### Automatic Installation on Linux
( V( J$ M# L% _8 c/ I! o
1. Install the dependencies:

```bash
1 s, Z9 o( t: o. i. p9 D& c# Debian-based:
sudo apt install wget git python3 python3-venv
. J3 ?1 y; {9 |1 G' E/ O# C# Red Hat-based:
% n+ i4 S" H2 y" R) y; hsudo dnf install wget git python3
# Arch-based:
( \7 k$ D6 I" A9 ysudo pacman -S wget git python3
7 o* s/ l+ i* ]: Q) j4 M4 k0 ]```
+ m  K1 W$ a* I& \8 P$ Z: i  f
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)
```
/ J  T0 r' Z6 L- [9 `) }: I% i
/ r2 n! ^  s, O3. Run `webui.sh`.
8 O+ r: T% V( V* e! Z4. Check `webui-user.sh` for options.
2 u" m% r2 a8 U* ]" G
### Installation on Apple Silicon
- n1 b2 ^1 m; R9 E% F' p. `# j! G$ D
Find the instructions [here](https://github.com/AUTOMATIC1111 ... on-on-Apple-Silicon).
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1 W% n& d8 e2 I2 A' g7 `## Contributing
" P! S7 [' w- K  z- P
Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111 ... i/wiki/Contributing)
- L  z3 s- Q/ ?- ^# v% N
$ L4 Q/ d9 I2 J3 V9 ^## Documentation

" W3 h* B' g' |, R. T) hThe documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
' P& [' P  a* N# K3 v
## Credits

# v! V* c2 J- f3 }. h0 ILicenses 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
; [3 W6 u. V; u; u( S& w3 J9 V- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
- GFPGAN - https://github.com/TencentARC/GFPGAN.git
3 m1 A5 f; M9 b" _( B% l4 P- CodeFormer - https://github.com/sczhou/CodeFormer
- ESRGAN - https://github.com/xinntao/ESRGAN
- SwinIR - https://github.com/JingyunLiang/SwinIR
( F9 i" l9 G4 |! F- 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)
* S% J+ k6 L1 H: p. t7 `- 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
6 N, R4 H6 A$ E6 Z# ~- Y- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
2 w' Y: A' [- s) `8 \- Idea for Composable Diffusion - https://github.com/energy-based- ... sion-Models-PyTorch
/ }  y: r0 v: C1 j- xformers - https://github.com/facebookresearch/xformers
- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
" ~+ G8 i8 a* @' o* k+ ~% @- 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)
7 a1 ^0 K3 _6 G; g* M3 \3 v- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
( j) i! u+ n( K. ~) m- Security advice - RyotaK
& c5 }  Y) S+ s1 u- 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
- [0 o4 S# j9 Z; Q, S. ~' f$ ^- (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-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