Instructions to use kaimoonstar/SD1.5_imageNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kaimoonstar/SD1.5_imageNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kaimoonstar/SD1.5_imageNet", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4d6ede305352c65ff104519960d55e7cb90b5f3cec47dbd6c1304c3d69593fb5
- Size of remote file:
- 492 MB
- SHA256:
- 780cde473a84a346e735061298fb5371be5a9aea79982cd061ba13fdeebfa796
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