Instructions to use RomeroRZ/Nephos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RomeroRZ/Nephos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RomeroRZ/Nephos", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- eee9ef8a9ef08a4b084fd9074b82a6803efc12cc0ae96caee2cc046b0ee3a3a7
- Size of remote file:
- 2.13 GB
- SHA256:
- 97f09268694842984d8aa8b5c29ab5a2f3060947851b14cd85ffcf3b7c56fddc
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