pip install diffusers, accelerate, torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.2+cu118 -f https://download.pytorch.org/whl/cu118/torch_stable.html

2. 生成圖片

python

from diffusers import DiffusionPipeline
import torch

# 加載模型
pipeline = DiffusionPipeline.from_pretrained("izzysde/hippojabe_style_image_generator")

# 如果有 GPU，將模型移到 CUDA
if torch.cuda.is_available():
pipeline.to("cuda")
else:
pipeline.to("cpu")

# 定義生成圖像的參數
prompt = "show a cute bird in the style of hippojabe" # 用英文寫描述一定要用in the style of hippojabe結尾
num_inference_steps = 100 # 控制生成質量和速度的步驟數
guidance_scale = 9 # 控制生成圖像與文本提示的一致性

# 生成圖片
with torch.no_grad():
image = pipeline(prompt, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale)["images"][0]

# 保存或顯示圖像
image.save("generated_image.png")
image.show()