新建一个main.py
from modelscope.utils.constant import Tasks
from modelscope.pipelines import pipeline
import cv2
pipe = pipeline(task=Tasks.text_to_image_synthesis,
model='langboat/Guohua-Diffusion',
model_revision='v1.0')
prompt = 'The Godfather poster in guohua style'
output = pipe({'text': prompt})
cv2.imwrite('result.png', output['output_imgs'][0])
安装依赖
modelscope
torch
transformers
diffusers
运行会自动去魔塔下载模型文件,结果大概为
默认模型会下载到~/.cache/modelscope/hub中,如果需要修改下载目录,可以手动指定环境变量:MODELSCOPE_CACHE,modelscope会将模型和数据集下载到该环境变量指定的目录中。
![](https://img2024.cnblogs.com/blog/3302358/202405/3302358-20240511134550665-450271061.png)
如果是本地下载好的大模型
from modelscope.utils.constant import Tasks
from modelscope.pipelines import pipeline
import cv2
# 目录路径,一直到模型
download_path = f'C:/Users/PC/.cache/modelscope/hub/langboat/Guohua-Diffusion'
pipe = pipeline(task=Tasks.text_to_image_synthesis,
model=download_path,
model_revision='v1.0')
prompt = 'chinese girl in guohua style'
output = pipe({'text': prompt})
cv2.imwrite('result.png', output['output_imgs'][0])