Instructions to use NickelK/model3_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NickelK/model3_3 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_3", 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:
- 5cc4bc0d464094adbf1fda5d1162d894c40c8a92c6d3fd22bbb24a6ffd28ac22
- Size of remote file:
- 246 MB
- SHA256:
- fd15ab315a5113657db5b76398ccfffb15e113b6863bcabe4a3273243b00e67e
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