Instructions to use ukeeba/hftoken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ukeeba/hftoken with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ukeeba/hftoken", 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:
- bea4d41db31f90f4edc3a6d0e3b2ffb1f6b8f7e134611e760451538a4df2d4ed
- Size of remote file:
- 3.44 GB
- SHA256:
- 5c3db14a2514a445ebec93613f336d6a75d9a9314b06ee822d7ab816d2021b57
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