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:
- f333b36daa329297b29dea93c092eb7c475e066d140b2915577b77e322adb7a5
- Size of remote file:
- 1 kB
- SHA256:
- 0ac5722a50941bc1353846f80a544eb191fa869ae625cb63833f25ef78114c2d
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