Instructions to use Akaneqwq/DualDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akaneqwq/DualDiff 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("Akaneqwq/DualDiff", 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 .gitattributes from Akaneqwq/DualDiff: direct link, hf CLI and curl.
- Browser
- Download file 42 Bytes
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https://huggingface.co/Akaneqwq/DualDiff/resolve/main/.gitattributes
- Command line
-
hf download hf://Akaneqwq/DualDiff/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Akaneqwq/DualDiff/resolve/main/.gitattributes
42 Bytes
| *.pkl filter=lfs diff=lfs merge=lfs -text | |