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内容 | 说明 |
---|---|
镜像 | stable-diffusion-webui-develop:1.0-pytorch2.0-gpu-py310-cu117-ubuntu22.04 |
镜像区域 | 杭州、上海、北京、深圳 |
环境安装 | 在DSW Gallery中找到“AI扩图神器,放飞你的想象力”,点击“在DSW中打开”按钮,进入后已提供了额库下载、基础模型下载、webui运行等基础 |
在WebUI中进入扩展,安装需要的扩展插件。
安装完毕后,模型请单独下载。
建议模型在个人电脑上下载后,再上传到镜像。(懂的都懂)
# mv mapping_00109-model.pth.tar checkpoints/
# mv mapping_00229-model.pth.tar checkpoints/
# mv SadTalker_V0.0.2_256.safetensors checkpoints/
# mv SadTalker_V0.0.2_512.safetensors checkpoints/
mv GFPGANv1.4.pth checkpoints/hub/checkpoints/
# mv GFPGANv1.4.pth gfpgan/weights/
# mv alignment_WFLW_4HG.pth gfpgan/weights/
# mv detection_Resnet50_Final.pth gfpgan/weights/
# mv parsing_parsenet.pth gfpgan/weights/
pip install -r requirements.txt
最近几天在启动实例时,时间非常漫长,原因很可疑(绝对不是欠费)。大家自己看:
Creating DswInstance timeout, pod event is Successfully assigned / to vk-nodepool-cn-hangzhou-d-2cbtg-0
原图不提供了,原图是浩浩妈妈在狂蟒之灾电影中的片段,大家脑补。
图生图提示词信息片段:
masterpiece,high quality,pajamas, yellow,hands,Negative prompt: EasyNegativeSteps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7
使用到了ControlNet。
2024-04-21 02:30:35,819 - ControlNet - INFO - unit_separate = False, style_align = False
2024-04-21 02:30:35,819 - ControlNet - WARNING - A1111 inpaint and ControlNet inpaint duplicated. Falls back to inpaint_global_harmonious.
2024-04-21 02:30:35,819 - ControlNet - INFO - Loading model from cache: control_v11p_sd15_inpaint [ebff9138]
2024-04-21 02:30:35,819 - ControlNet - INFO - using mask
2024-04-21 02:30:35,821 - ControlNet - INFO - Using preprocessor: inpaint
2024-04-21 02:30:35,821 - ControlNet - INFO - preprocessor resolution = 512
2024-04-21 02:30:35,851 - ControlNet - INFO - ControlNet Hooked - Time = 0.034852027893066406
0%| | 0/12 [00:00<?, ?it/s]
17%|███████▎ | 2/12 [00:00<00:00, 10.86it/s]
33%|██████████████▋ | 4/12 [00:00<00:00, 10.76it/s]
50%|██████████████████████ | 6/12 [00:00<00:00, 10.72it/s]
67%|█████████████████████████████▎ | 8/12 [00:00<00:00, 10.70it/s]
83%|███████████████████████████████████▊ | 10/12 [00:00<00:00, 10.54it/s]
100%|███████████████████████████████████████████| 12/12 [00:01<00:00, 10.61it/s]
Total progress: 100%|███████████████████████████| 12/12 [00:01<00:00, 7.47it/s]
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