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# 1.安装依赖 | |
import os | |
os.system("pip install paddlepaddle") | |
os.system("pip install paddlenlp==2.5.2") | |
os.system("pip install ppdiffusers==0.11.1") | |
# 2.导入库文件 | |
import gradio as gr | |
from ppdiffusers import DiffusionPipeline, DPMSolverMultistepScheduler | |
import paddle | |
# 3.功能函数 | |
def quickstart(prompt): | |
image = pipe(prompt).images[0] | |
return image | |
# 4.样式设计 | |
with gr.Blocks() as demo: | |
gr.Markdown("# 用 LoRA 和 DreamBooth 创作: 万物皆Coding") | |
gr.Image("2100.png") | |
gr.Markdown("## prompt: A picture of person coding") | |
gr.Markdown("## prompt: A picture of dog coding") | |
greet_btn = gr.Button("开始生成") | |
input_text=gr.Textbox(label="输入你想要的主体") | |
# 5.接口调用 | |
greet_btn.click(quickstart, inputs=input_text, outputs=gr.Image()) | |
# 6.加载模型 | |
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5") | |
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) | |
pipe.unet.load_attn_procs("mortal99", from_hf_hub=True) | |
# 7.启动 | |
demo.launch() | |