Instructions to use hr16/fswd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hr16/fswd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hr16/fswd", 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:
- 3162ed72ffb29d349736d1834f33a512b94338d0d48c9aa628f337ecaaabceed
- Size of remote file:
- 335 MB
- SHA256:
- 8fc695c3540f52f2b1f03c1784b104b62128ef96fe3cf7586dcd6047b5af7195
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