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", 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:
- 186844171ad3fccefee14cefcff007da5d7c84397804d90bafdc7fd46007f79a
- Size of remote file:
- 3.18 GB
- SHA256:
- 6b256c44c5c2364062e5ba90b2be7bc038ad388a4bf2d01f02c7d89a34c790a9
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