Instructions to use bardofcodes/pattern_analogies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bardofcodes/pattern_analogies with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bardofcodes/pattern_analogies", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download analogy_input_processor/__init__.py from bardofcodes/pattern_analogies: direct link, hf CLI and curl.
- Browser
- Download file 58 Bytes
-
https://huggingface.co/bardofcodes/pattern_analogies/resolve/main/analogy_input_processor/__init__.py
- Command line
-
hf download hf://bardofcodes/pattern_analogies/analogy_input_processor/__init__.py
-
curl -L -o __init__.py https://huggingface.co/bardofcodes/pattern_analogies/resolve/main/analogy_input_processor/__init__.py
58 Bytes
| from .analogy_input_processor import AnalogyInputProcessor |