# Copyright 2024 Huawei Technologies Co., Ltd
# Copyright 2024 Stability AI, The HuggingFace Team and The InstantX Team. All rights reserved.
# Copyright 2024 Stability AI and The HuggingFace Team

import os

import torch
from diffusers import StableDiffusion3Pipeline

output_path = "./infer_result"
os.makedirs(output_path, exist_ok=True)

MODEL_PATH = "stabilityai/stable-diffusion-3.5-large"  # 模型权重路径 或 微调结果路径
DEVICE = "npu"
DTYPE = torch.float16  # 混精模式

# 设置prompt，可自定义设置
PROMPT = [
    "masterpiece, best quality, a sks dog in a bucket, night, moonlight, dim lighting",
    "masterpiece, best quality, a dog is walking in beijing city, night, moonlight, dim lighting",
    "masterpiece, best quality, a dog is holding a sign that sys hello world, evening light, sunset, rim lighting",
    "masterpiece, best quality, three big dogs on a couch, flower in vase, film grain, crystal clear, dark studio",
    "masterpiece, best quality, 8 cats and 8 dogs on river, evening light, sunset, rim lighting, depth of field",
    "masterpiece, best quality, 2 dogs, Exquisite City, (sky:1.3), (Miniature tree:1.3), Miniature object, many flowers, glowing mushrooms, (creek:1.3), lots of fruits, cute colorful animal protagonist, Firefly, meteor, Colorful cloud, Complicated background, rainbow,",
    "masterpiece, best quality, a cat is holding a sign that says hello world, girl with glasses, (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2),",
    "masterpiece, best quality, two dog with grey and yellow skin, mechanical arms, cyberpunk city background, night, neon light",
]

# 设置随机数种子
seed_list = [8, 23, 42, 1334]

pipe = StableDiffusion3Pipeline.from_pretrained(
    MODEL_PATH,
    torch_dtype=DTYPE,
    local_files_only=True,
)
pipe = pipe.to(DEVICE)

# 输出图片
for prompt_key in PROMPT:
    for i in seed_list:
        generator = torch.Generator(device="cpu").manual_seed(i)
        image = pipe(
            prompt=prompt_key,
            num_inference_steps=28,
            height=1024,
            width=1024,
            guidance_scale=1.0,
            generator=generator,
        ).images
        image[0].save(f"{output_path}/{prompt_key[28:40]}-{i}.png")