Instructions to use sdasdadas/your-model-name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sdasdadas/your-model-name with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdasdadas/your-model-name", 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:
- 0e50847d93e08306d30c677c2a2252f2ef0cce04efbb1fe70db8371088f4334b
- Size of remote file:
- 30.4 MB
- SHA256:
- 444351a8d077eaeb907b7c8d4cc4608125c88a9f9fcb6046efa7c212c5544af1
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