Instructions to use izzysde/hippojabe_style_image_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use izzysde/hippojabe_style_image_generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("izzysde/hippojabe_style_image_generator", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Verified signaturefrom 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()f7edcff -
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