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
File size: 284 Bytes
74da989 | 1 2 3 4 5 6 | from trainer.configs.pipelines import PipelineConfig
from trainer.configs.sample import SamplingParam
from trainer.entrypoints.video_generator import VideoGenerator
from trainer.version import __version__
__all__ = ["VideoGenerator", "PipelineConfig", "SamplingParam", "__version__"] |