Instructions to use weathon/cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use weathon/cd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("weathon/cd", 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:
- 06997501307a907a8a75930dc5bcdd202e3a0cc3d7a759fc6a94ee8c8d4ed9bd
- Size of remote file:
- 988 Bytes
- SHA256:
- baba31a5e5063037a5c811de9cb04bc62c6c5f0f5fe6720b7d681afe6500d4c1
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