Instructions to use YGu1998/SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YGu1998/SFT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YGu1998/SFT", 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
- Xet hash:
- 4a9e916e7d6a8ceebaf7d5a39007381e64a82954c428f6a247731df7436b388f
- Size of remote file:
- 2.37 GB
- SHA256:
- fee1fb83d171d9424eea1d28a1245c39414ac0a596a06960277194e76f496b82
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