Docker Stable Diffusion XL Turbo

系列使用教程

第一篇：《使用 Docker 快速上手 Stability AI 的 SDXL 1.0 正式版》
第二篇：《使用 Docker 和 Diffusers 快速上手 Stable Video Diffusion 图生视频大模型》
🌟第三篇🌟：《Stable Diffusion XL Turbo 文生图和图生图实践》
环境准备：《基于 Docker 的深度学习环境：Windows 篇》/ 《基于 Docker 的深度学习环境：入门篇》
模型下载：《节省时间：AI 模型靠谱下载方案汇总》
疑难杂症：《修复 OpenCV 依赖错误的小工具：OpenCV Fixer》/ 《在 Nvidia Docker 容器编译构建显存优化加速组件 xFormers》

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docker-stable-diffusion-xl-turbo's Issues

运行 docker 容器后卡住了

The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
0it [00:00, ?it/s]
Loading pipeline components...: 100%|██████████| 7/7 [00:03<00:00,  1.99it/s]
Loading pipeline components...: 100%|██████████| 7/7 [00:00<00:00,  7.13it/s]

卡在这里不动了，重新 docker build --no-cache 然后 run 也是这样

OSError: Error no file named pytorch_model.bin, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory /app/stabilityai/sdxl-turbo/text_encoder_2

tree /a /F
文件夹 PATH 列表    
卷序列号为 768F-B66D
D:.                 
|   .gitignore      
|   app.py          
|   LICENSE         
|   README.md       
|                   
+---.github         
|       img2img.jpg 
|       txt2img.jpg    
|                                           
+---docker                                  
|       Dockerfile                          
|       Dockerfile.cn
|                                           
\---stabilityai                             
    \---sdxl-turbo                          
        |   .gitattributes                  
        |   configuration.json              
        |   image_quality_one_step.png      
        |   LICENSE.TXT                     
        |   model_index.json                
        |   output_tile.jpg                 
        |   prompt_alignment_one_step.png   
        |   README.md                       
        |   sd_xl_turbo_1.0.safetensors     
        |   sd_xl_turbo_1.0_fp16.safetensors
        |                                   
        +---scheduler                       
        |       scheduler_config.json       
        |                                   
        +---text_encoder                    
        |       config.json                 
        |                                   
        +---text_encoder_2
        |       config.json
        |
        +---tokenizer
        |       merges.txt
        |       special_tokens_map.json
        |       tokenizer_config.json
        |       vocab.json
        |
        +---tokenizer_2
        |       merges.txt
        |       special_tokens_map.json
        |       tokenizer_config.json
        |       vocab.json
        |
        +---unet
        |       config.json
        |       diffusion_pytorch_model.fp16.safetensors
        |       diffusion_pytorch_model.safetensors
        |
        \---vae
                config.json
                diffusion_pytorch_model.fp16.safetensors
                diffusion_pytorch_model.safetensors

#####

docker run --rm -it -p 7860:7860 -p 8080:8080 --gpus all --ipc=host --ulimit memlock=-1 -v D:\.code\docker-stable-diffusion-xl-turbo:/app soulteary/sdxl-turbo-runtime python app.py

=============
== PyTorch ==
=============
Copyright (c) 2011-2013 NYU                      (Clement Farabet)
Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
Copyright (c) 2015      Google Inc.
Copyright (c) 2015      Yangqing Jia
Copyright (c) 2013-2016 The Caffe contributors
All rights reserved.

Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES.  All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
0it [00:00, ?it/s]
Loading pipeline components...:   0%|                                                                                                                                                                                                                               | 0/7 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "/app/app.py", line 22, in <module>
    "img2img": AutoPipelineForImage2Image.from_pretrained(
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/auto_pipeline.py", line 615, in from_pretrained
    return image_2_image_cls.from_pretrained(pretrained_model_or_path, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 1271, in from_pretrained
    loaded_sub_model = load_sub_model(
  File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 525, in load_sub_model
    loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
  File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 3206, in from_pretrained
    raise EnvironmentError(
OSError: Error no file named pytorch_model.bin, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory /app/stabilityai/sdxl-turbo/text_encoder.

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