metadata
license: other
license_name: hippojabe1.0
license_link: LICENSE
base_model: runwayml/stable-diffusion-v1-5
pipeline_tag: text-to-image
tags:
- art
- hippo
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()