Instructions to use ukeeba/hffmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ukeeba/hffmodel 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/hffmodel", torch_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:
- 2acf1d56af4a94fbe18abd69f2a9520b94943d07e20bb72c8eceaf90cbb10a21
- Size of remote file:
- 335 MB
- SHA256:
- 1b08a5ce602530a2faa81ad4393df36ebfef7dc0f3107a30904081b2a600826d
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