Instructions to use zty557/TADSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zty557/TADSR 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("zty557/TADSR", 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
- Xet hash:
- abc98c3a4fa130811926ce418bcacbe82a488a820925f078f00315bc32c14b42
- Size of remote file:
- 343 MB
- SHA256:
- a2a35fb1e7528ca3084435bf911d42e543238d329eef018a12045764a5a86f3a
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