Instructions to use hugaagg/IR_expeiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hugaagg/IR_expeiment with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hugaagg/IR_expeiment", 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: 396 Bytes
2ecc7ab | 1 2 3 4 5 6 7 8 | from .face_utils import align_crop_face_landmarks, compute_increased_bbox, get_valid_bboxes, paste_face_back
from .misc import img2tensor, load_file_from_url, download_pretrained_models, scandir
__all__ = [
'align_crop_face_landmarks', 'compute_increased_bbox', 'get_valid_bboxes', 'load_file_from_url',
'download_pretrained_models', 'paste_face_back', 'img2tensor', 'scandir'
]
|