Instructions to use NickelK/model3_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NickelK/model3_7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NickelK/model3_7", 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:
- e5f97b85042bba87bea3d835c22ef764f9d41e5b0a5a5e67d3c6bb6fb149124f
- Size of remote file:
- 246 MB
- SHA256:
- afcc15cbd6cb17e5f09107cad3b5ad19757e17cd65f12da3c0c80eaa0a17b870
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