Instructions to use teohyc/my_first_diffusion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use teohyc/my_first_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("teohyc/my_first_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:
- 41f4d145303c1fbcd7e50ce4daebf04b47cb53ab707c26c4eb4d4e1ff8e499a5
- Size of remote file:
- 74.2 MB
- SHA256:
- 11177e3462fa7d5be5bd69cd3695344ca50e58bf1759e942755c2af7e448fae6
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