Instructions to use albburtsev/nx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use albburtsev/nx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("albburtsev/nx", 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:
- 7f31d1fd9b1d4f42983508f93db810deef43b3dde993d07d20ecc3349ee280ad
- Size of remote file:
- 246 MB
- SHA256:
- fc110bdc62e7d7d5e4c80653db2c9b361042bf4612dff55b00629b113d8b5645
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