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", torch_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:
- 5dc264bb5d5d00b315933964ff2162928a1e43803c6bb17186f71daaa525919e
- Size of remote file:
- 7.63 kB
- SHA256:
- f54302a2e14d77d50e98dc871e5681484dbefccbc9706884e72dd775bc3d77a2
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