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.
  t& \. ^9 R  x6 NPython 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: <none>
0 ~  s1 Q& L6 s1 ]Commit hash: ebf229bd1727a0f8f0d149829ce82e2012ba7318
Installing requirements
Launching Web UI with arguments: --autolaunch
# u; }. Q& G3 l4 I/ K; `. z& VNo module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
7 j$ `7 E, i6 N4 h  K) ALoading 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
Running on local URL:  http://127.0.0.1:7860
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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).
1 P! \2 l4 ~; u: j6 Q8 M9 O8 J4 NLoading 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

Git-2.41.0-64-bit
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python-3.10.6-amd64
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### Installation on Windows 10/11 with NVidia-GPUs using release package
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  ~0 x) Q  {/ _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.
7 C2 v8 {8 D& T2. Run `update.bat`.
+ p9 ]3 k5 q0 y. [2 p- [/ T3. Run `run.bat`.
2 i2 m. V8 `( B  N0 D   > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111 ... -Run-on-NVidia-GPUs)
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, z/ h* K1 j+ t2 }8 R5 `- l1 U$ t### Automatic Installation on Windows
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6 I9 ~: h2 O9 s( b' w7 ]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".
% F( ~' [- M) _6 H+ N" i4 _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.

6 x3 W; B% `0 o% N! U$ D### Automatic Installation on Linux
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1. Install the dependencies:

, ]1 s0 _7 p7 Z```bash
) S) \5 z* v" C3 a4 k# Debian-based:
sudo apt install wget git python3 python3-venv
# Red Hat-based:
sudo dnf install wget git python3
# j0 ~. y$ u1 L8 A2 ~# Arch-based:
sudo pacman -S wget git python3
7 i# K5 J1 c, D$ t+ K! J9 F8 ^$ v```
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: B6 r2 G# `* P8 H! S, q" m- k2. Navigate to the directory you would like the webui to be installed and execute the following command:

```bash
. _/ j5 i; n% q& Cbash <(wget -qO- https://raw.githubusercontent.co ... bui/master/webui.sh)
```

3. Run `webui.sh`.
) w2 q6 }4 a$ Z1 D. }4. Check `webui-user.sh` for options.
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### Installation on Apple Silicon

Find the instructions [here](https://github.com/AUTOMATIC1111 ... on-on-Apple-Silicon).
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## Contributing
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Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111 ... i/wiki/Contributing)
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## Documentation

9 V. D0 M- I- ?$ {9 sThe 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

Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.

7 j1 T4 q' a  u3 e- Y3 m9 U- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
! G2 a, ~+ ]- @8 w8 B- GFPGAN - https://github.com/TencentARC/GFPGAN.git
- CodeFormer - https://github.com/sczhou/CodeFormer
- ESRGAN - https://github.com/xinntao/ESRGAN
- SwinIR - https://github.com/JingyunLiang/SwinIR
$ G7 K' r2 j: z" V2 B: s- ~% A- 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
9 M' x3 x/ x6 ?. z/ j7 }- z9 K( A9 n5 \- 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)
# L( ^. n; Z- Y6 W; g- 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).
4 K7 f8 ^. c1 ~3 M6 X- 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
; I: \& Q' B+ v3 _9 t/ n" y9 G- xformers - https://github.com/facebookresearch/xformers
- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
/ F6 I: i  B* c: N- 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)
; U- N* f  w5 a2 r* r- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
- Security advice - RyotaK
- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
6 n  m- k+ l! M8 R: X- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
; o9 M9 y2 F' a: b0 k- Olive - https://github.com/microsoft/Olive
, v+ L* Q, n0 B6 d- A" R- (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