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

fudyou

venv "D:\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
: j3 z* f1 s3 q, [/ E4 o- S5 fPython 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: <none>
  z( l* Y# t1 A7 a+ e. XCommit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
; K- R& F  M1 f2 m" HInstalling requirements
1 X$ c$ S# T) j, y0 B* f, ALaunching Web UI with arguments: --autolaunch
. z+ I) y7 K3 vNo module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
/ b/ @' ]; }& B5 t. k& ULoading weights [fc2511737a] from D:\stable-diffusion-webui-directml\models\Stable-diffusion\chilloutmix_NiPrunedFp32Fix.safetensors
& j, a2 |9 J) ?/ hCreating model from config: D:\stable-diffusion-webui-directml\configs\v1-inference.yaml
( {/ x' w7 T/ u* ALatentDiffusion: Running in eps-prediction mode
Running on local URL:  http://127.0.0.1:7860
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, Q/ X! R! G7 s1 MTo create a public link, set `share=True` in `launch()`.
DiffusionWrapper has 859.52 M params.
5 e: F2 P) R% b$ \/ B5 r: O8 T" KStartup 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).
  }9 c' q# Q: SLoading VAE weights found near the checkpoint: D:\stable-diffusion-webui-directml\models\VAE\chilloutmix_NiPrunedFp32Fix.vae.ckpt
Applying optimization: InvokeAI... done.
) \$ s2 Y3 V$ @3 }. XTextual 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).

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

0 G" P7 \2 K2 }7 d2 s: |# M1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111 ... ases/tag/v1.0.0-pre) and extract it's contents.
/ Y0 {$ `2 g2 \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)
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### Automatic Installation on Windows

. Y% c' B) p, b* J' G1. 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".
1 ]- C( h6 t% w  A2. Install [git](https://git-scm.com/download/win).
3 m1 D  V2 S" E' o8 A3. Download the stable-diffusion-webui-directml repository, for example by running `git clone https://github.com/lshqqytiger/s ... ebui-directml.git`.
. `* c! u  w8 G6 F& h- q  |4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.

### Automatic Installation on Linux
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0 {7 H6 R- }+ w0 ]1. Install the dependencies:
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* K' a# ?3 e% @4 {3 B* ]" n. G```bash
# Debian-based:
sudo apt install wget git python3 python3-venv
6 C6 q+ o+ U# q( I: |; [- ]# Red Hat-based:
sudo dnf install wget git python3
# Arch-based:
0 ~. P$ Y2 N+ `1 d$ _& fsudo pacman -S wget git python3
$ r2 l' t% @- h```
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5 y9 r- d/ N: N: z, m2. 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)
```
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3. Run `webui.sh`.
4. Check `webui-user.sh` for options.

### Installation on Apple Silicon

# l+ U$ p. p2 ?( r. T/ g9 E. [Find the instructions [here](https://github.com/AUTOMATIC1111 ... on-on-Apple-Silicon).
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/ [% W' R- ?3 _7 o! _## Contributing
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Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111 ... i/wiki/Contributing)

## Documentation
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% `  _$ I# [, ~+ L% m& TThe documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
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2 j3 b% T2 I. G+ G" G" E7 r## Credits

  h4 K6 L) x! u9 H4 S% e1 W* [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
- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
* w5 e: x* Q( P: l5 d- GFPGAN - https://github.com/TencentARC/GFPGAN.git
- CodeFormer - https://github.com/sczhou/CodeFormer
- ESRGAN - https://github.com/xinntao/ESRGAN
4 ^2 T5 w$ ?0 N8 {. |% X- SwinIR - https://github.com/JingyunLiang/SwinIR
: i6 z$ H; l" S9 z- Swin2SR - https://github.com/mv-lab/swin2sr
- LDSR - https://github.com/Hafiidz/latent-diffusion
/ q  ^% y; N3 Z8 Y2 y' u- 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.
: M# Q- Z, w9 D4 {$ _8 x- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
6 |* I2 y% Z; P7 \, H$ f" E- 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
+ d% E' D! S" y- 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)
- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
+ x% ?. l0 M& F8 `3 B- Security advice - RyotaK
- 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.
8 }* n$ U- G* h9 p- Olive - https://github.com/microsoft/Olive
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: B( }. N& {# E' Whttps://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