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", 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:
- 285a48091443d548f0cb4f933b1fc257ec9fa6bd025e0c8893a0635f3d5f1d02
- Size of remote file:
- 492 MB
- SHA256:
- 5cf25850b1c78d8b3a4005b1df113d45ae439e31009435ff38f9fd203e2cd1e3
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