Instructions to use ChuuniZ/xcw-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChuuniZ/xcw-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChuuniZ/xcw-models", 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:
- ad0d36258206a7c34786de7dd3a3beb5bcdce55a8f1202bad76f798ec432365e
- Size of remote file:
- 849 MB
- SHA256:
- 9b4510f31d72e41507a4b75c4e62206b1d7e2223e0125b29644acd4b142793b0
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