| # 使用示例 | |
| # 1. 安装依赖 | |
| pip install diffusers transformers torch accelerate | |
| # 2. 使用模型 | |
| import torch | |
| from diffusers import Lumina2Pipeline | |
| # 从Hugging Face Hub加载 | |
| pipe = Lumina2Pipeline.from_pretrained( | |
| "neta-art/Neta-Lumina-diffusers", | |
| torch_dtype=torch.bfloat16 | |
| ) | |
| # 生成图像 | |
| prompt = "1girl, beautiful, detailed, high quality, anime style" | |
| negative_prompt = "low quality, low resolution, ugly, disgusting" | |
| image = pipe( | |
| prompt, | |
| height=1024, | |
| width=1024, | |
| guidance_scale=7.5, | |
| num_inference_steps=50, | |
| negative_prompt=negative_prompt | |
| ).images[0] | |
| image.save("output.png") | |