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: 449 Bytes
5f0e4a2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | #!/usr/bin/env python3
"""Online train-case evaluation entry point for Predictor-DisCa."""
from __future__ import annotations
import sys
from generate_predictor_v4_train_case_eval import main
if __name__ == "__main__":
if not any(
argument == "--predictor_variant"
or argument.startswith("--predictor_variant=")
for argument in sys.argv[1:]
):
sys.argv[1:1] = ["--predictor_variant", "disca"]
main()
|