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7月份计划上线的360全景图生成模型，自研 模型权重文件地址https://www.modelscope.cn/models/damo/cv_diffusion_text-to-360panorama-image_generation/summary #### 依赖项说明 ##### 由于要使用xformers，torch版本最好使用1.13.1 ``` pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116 ``` ##### 对应的diffusers和xformers版本如下 ``` pip install -U diffusers==0.18.0 pip install xformers==0.0.16 pip install triton, accelerate, transformers ``` ##### ModelScope Library 需要使用cv ``` pip install modelscope pip install "modelscope[cv]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html ``` ##### 此外，还需要安装第三方的一个库，Real-ESRGAN， 安装方法如下 ``` # Install basicsr - https://github.com/xinntao/BasicSR # We use BasicSR for both training and inference pip install basicsr # facexlib and gfpgan are for face enhancement pip install facexlib pip install gfpgan pip install Pillow pip install tqdm pip install realesrgan==0.3.0 ``` Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13346430 * add text-to-360pano-image pipeline * add text-to-360pano-image pipeline, mod cv requirements * rm redundant files and cv requirements; add standard input and output definations * fix diffusers==0.18.0 and run test * fix diffusers==0.18.0 in multi-modal and run test again * add model_revision='v1.0.0' * fix yapf * add trycatch for enabling xformers * fix key error * add install xformers in test/setup * skip highres.fix in ci * feat: Fix conflict, auto commit by WebIDE
30 lines
548 B
Plaintext
30 lines
548 B
Plaintext
accelerate
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cloudpickle
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decord>=0.6.0
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diffusers==0.18.0
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fairseq
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ftfy>=6.0.3
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librosa==0.9.2
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opencv-python
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pycocoevalcap>=1.2
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pycocotools>=2.0.4
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pydot
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# compatible with taming-transformers-rom1504
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pytorch_lightning<=1.7.7
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rapidfuzz
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# rough-score was just recently updated from 0.0.4 to 0.0.7
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# which introduced compatability issues that are being investigated
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rouge_score<=0.0.4
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sacrebleu
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safetensors
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# scikit-video
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soundfile
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taming-transformers-rom1504
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timm
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tokenizers
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torchvision
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transformers>=4.27.1
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# triton==2.0.0.dev20221120
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unicodedata2
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zhconv
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