Instructions to use geyongtao/NormalFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use geyongtao/NormalFM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("geyongtao/NormalFM", 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:
- 628f3decd59e3b72439669442a1d32ee52248bec871b367767627f9e84bcaaa2
- Size of remote file:
- 198 MB
- SHA256:
- af2f1e8f1bf27b68c81f6e7aa4394a7dc4488d852b07c96c24e47984cfebffd8
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