Instructions to use fengleafs/sd-class-butterflies-sample-32-demo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fengleafs/sd-class-butterflies-sample-32-demo2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fengleafs/sd-class-butterflies-sample-32-demo2", 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
--license: mit tags:
- pytorch - diffusers
- unconditional-image-generation
- diffusion-models-class --# 这个模型用于生成蝴蝶图像的无条件图像生成扩散模型
'''python from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('fengleafs/sd-class-butterflies-sample-32-demo2')
image = pipeline().images[0] image
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