Instructions to use Fred99774/nulaurev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/nulaurev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fred99774/nulaurev", 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:
- d520f3c006afed930a011b1bf73a3b8375800dbc20a9cf8dec0cfb4e27744127
- Size of remote file:
- 335 MB
- SHA256:
- 84dbb647c11a88814b9d5352525125b04833163e603c720023c5efba054ed1f9
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