Instructions to use ziyiwang/StableMotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ziyiwang/StableMotion 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("ziyiwang/StableMotion", 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
Add pipeline tag, library name, and improve model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This PR improves the model card for StableMotion by:
- Adding
pipeline_tag: image-to-imageandlibrary_name: diffusersto the YAML metadata. - Correcting and updating links to the official GitHub repository and specific Hugging Face model weights.
- Adding the GPT Rule-Based Evaluation section and a BibTeX citation format from the official repository.
Let me know if you have any questions!
deleted changed pull request status to merged