Instructions to use meageropoulos/Some_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use meageropoulos/Some_Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("meageropoulos/Some_Models", 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:
- ce136b3e242862e50ce5212c60e97efe0981216728a6f04ce757495c7febe0b0
- Size of remote file:
- 75.6 MB
- SHA256:
- 65147644a518d12f04e32d6f3b26facc3f8dd46e5390956a9424a650c0ce22b9
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