Instructions to use Cccccz/HY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cccccz/HY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cccccz/HY", 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
Ctrl+K
- assets
- checkpoints
- confidence_validation
- confidence_validation_wide4096x2_c1
- confidence_validation_wide4096x2_c2
- configs
- episode_000004
- evaluation_pipelines
- hyvideo
- logs
- models
- outputs
- predictor_data
- predictor_training
- scripts
- tests
- tools
- trainer
- wan
- worldcompass
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