update .md

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()

README.md

@@ -1,5 +1,10 @@
----
-license: other
-license_name: hippojabe1.0
-license_link: LICENSE
----
+---
+license: other
+license_name: hippojabe1.0
+license_link: LICENSE
+base_model: runwayml/stable-diffusion-v1-5
+pipeline_tag: text-to-image
+tags:
+- art
+- hippo
+---