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
Download predictor_data/v3_schema.py from Cccccz/HY: direct link, hf CLI and curl.
- Browser
- Download file 144 Bytes
-
https://huggingface.co/Cccccz/HY/resolve/main/predictor_data/v3_schema.py
- Command line
-
hf download hf://Cccccz/HY/predictor_data/v3_schema.py
-
curl -L -o v3_schema.py https://huggingface.co/Cccccz/HY/resolve/main/predictor_data/v3_schema.py
144 Bytes
| """Manifest schema for Predictor-v3 previous-chunk feature training.""" | |
| SCHEMA_VERSION_V3 = "predictor_v3_previous_chunk_same_timestep_hidden" | |