Instructions to use Logic2001/my_diffusion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Logic2001/my_diffusion_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Logic2001/my_diffusion_model", 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
- Xet hash:
- 853c3de3b7f7d2691146cf66cae83978c7993b342e1071915a55df7a87c012b2
- Size of remote file:
- 455 MB
- SHA256:
- 958f8048bb3084ab9cef7cc74790cc1edcc71e6baa3876004a39ccf0404168d0
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