Instructions to use FaheemKhan/horsie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FaheemKhan/horsie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FaheemKhan/horsie", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 870f603ad165e2e84cae8e0292d99a4d5f583d5af3845745526edb3efa4f1343
- Size of remote file:
- 246 MB
- SHA256:
- 76f11fc358e90682668876416942d23de20d966886366cc976c997a04eab21ed
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