app.py

# import gradio as gr

# gr.load("models/prithivMLmods/SD3.5-Large-Photorealistic-LoRA").launch()

import gradio as gr
import random

# 首先加载模型
model = gr.load("models/prithivMLmods/SD3.5-Large-Photorealistic-LoRA")

# 定义生成函数，并接收种子参数
def generate_image(prompt, seed=None):
    if seed is None:
        seed = random.randint(0, 1e6)  # 随机生成种子
    # 设置生成参数，包括种子
    result = model(prompt=prompt, seed=seed)
    return result

# 使用 Gradio Blocks 创建自定义界面
with gr.Blocks() as demo:
    gr.Markdown("## 输入描述和种子以生成图像")
    prompt = gr.Textbox(label="描述")
    seed = gr.Number(label="种子 (可选)", value=None)
    output_image = gr.Image()

    generate_button = gr.Button("生成图像")
    generate_button.click(generate_image, inputs=[prompt, seed], outputs=output_image)

# 启动 Gradio 应用
demo.launch()