[PPDiffusers] add from_hf_hub to from_pretrained

[sijunhe]

PR types

PR changes

Description

from ppdiffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("sijunhe/stable-diffusion-v1-5", from_hf_hub=True)

[paddle-bot]

Thanks for your contribution!

[codecov]

Codecov Report

Merging #4625 (ecd2270) into develop (6b0b8f9) will increase coverage by 0.19%.
The diff coverage is 84.09%.

@@             Coverage Diff             @@
##           develop    #4625      +/-   ##
===========================================
+ Coverage    41.92%   42.11%   +0.19%     
===========================================
  Files          434      433       -1     
  Lines        61824    61819       -5     
===========================================
+ Hits         25919    26035     +116     
+ Misses       35905    35784     -121     

Impacted Files	Coverage Δ
paddlenlp/transformers/image_processing_utils.py	26.00% <33.33%> (+0.46%)	⬆️
paddlenlp/transformers/model_utils.py	77.75% <90.90%> (+1.44%)	⬆️
paddlenlp/transformers/auto/modeling.py	80.55% <100.00%> (+4.25%)	⬆️
paddlenlp/transformers/auto/tokenizer.py	84.17% <100.00%> (+0.34%)	⬆️
paddlenlp/transformers/clip/modeling.py	60.68% <100.00%> (+0.07%)	⬆️
paddlenlp/transformers/configuration_utils.py	70.85% <100.00%> (+0.07%)	⬆️
paddlenlp/transformers/tokenizer_utils_base.py	78.38% <100.00%> (+0.06%)	⬆️
paddlenlp/utils/downloader.py	61.23% <100.00%> (+3.44%)	⬆️
paddlenlp/transformers/pegasus/modeling.py	71.80% <0.00%> (-0.84%)	⬇️
paddlenlp/transformers/nezha/modeling.py	94.36% <0.00%> (-0.64%)	⬇️
... and 8 more

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[JunnYu]

colab 测试命令

# install paddlepaddle
!python -m pip install paddlepaddle-gpu==2.4.1.post112 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html
!git clone https://github.com/sijunhe/PaddleNLP.git
%cd PaddleNLP
!git checkout -f ppdiffuser_hf
# install ppdiffusers
%cd ppdiffusers
!python setup.py install
# install paddlenlp
%cd ..
!python setup.py install

# test
from ppdiffusers import StableDiffusionPipeline
import ppdiffusers, paddlenlp
print(ppdiffusers.__version__, paddlenlp.__version__)
pipe = StableDiffusionPipeline.from_pretrained("sijunhe/stable-diffusion-v1-5", from_hf_hub=True)

[JunnYu]

LGTM