AIGC-stable-diffusion(文本生成图片)+PaddleHub/HuggingFace

功能

1. stable-diffusion(文本生成图片)
2. PaddleHub，HuggingFace两种调用方式

PaddleHub

环境

pip install paddlepaddle-gpu
pip install paddlehub

代码

from PIL import Image
import paddlehub as hub
module = hub.Module(name='stable_diffusion')
 
## 保存在demo目录
result = module.generate_image(text_prompts="clouds surround the mountains and Chinese palaces,sunshine,lake,overlook,overlook,unreal engine,light effect,Dream，Greg Rutkowski,James Gurney,artstation", output_dir='demo')

结果

HuggingFace

环境

pip install diffusers transformers accelerate scipy safetensors

代码

import torch
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
 
def show(image_path):
    # 使用 Matplotlib 加载图片文件
    image = mpimg.imread(image_path)
 
    # 显示图片
    plt.imshow(image)
    plt.axis('off')  # 关闭坐标轴
    plt.show()
 
model_id = "stabilityai/stable-diffusion-2-1"
 
# Use the DPMSolverMultistepScheduler (DPM-Solver++) scheduler here instead
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
pipe = pipe.to("cuda")
 
 
prompt = "clouds surround the mountains and Chinese palaces,sunshine,lake,overlook,overlook,unreal engine,light effect,Dream，Greg Rutkowski,James Gurney,artstation"
image = pipe(prompt).images[0]
    
image.save("test.png")
show('test.png')
 
 

结果