Instructions to use CongWei1230/Buffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CongWei1230/Buffer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CongWei1230/Buffer", 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:
- 7e048d2ed9208cada42e86121810c2d33ee3172c26fc664b26af01d45fbf3f0a
- Size of remote file:
- 7.57 kB
- SHA256:
- 3aae222bf2a6f3145c9eee89e680539394f51778ddf8a1018867f2e276b43f7e
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