Instructions to use IHe-KaiI/DressCode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IHe-KaiI/DressCode with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IHe-KaiI/DressCode", 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:
- 7da6c3ea0f69a14b86f993d77f8a6d0811d1febce6f4c0319a0193f3938ee1d7
- Size of remote file:
- 335 MB
- SHA256:
- 49fe1a0c59230c9ba550d1956350f27b054a9c2139b2de1ed3a3ca5b6267547d
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