Instructions to use Kry4ta1/Effecteraser-VOR-Inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kry4ta1/Effecteraser-VOR-Inference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kry4ta1/Effecteraser-VOR-Inference", 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: 369 Bytes
9264c1c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | from .remove_dataset import (
RemoveTripletDataset,
degrade_mask,
derive_side_effect_mask,
discover_video_triplets,
muse_temporal_union,
orientation_aware_size,
)
__all__ = [
"RemoveTripletDataset",
"degrade_mask",
"derive_side_effect_mask",
"discover_video_triplets",
"muse_temporal_union",
"orientation_aware_size",
]
|