Instructions to use Remade-AI/Rotate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Rotate with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Rotate") prompt = "The video shows a man seated on a chair. The man and the chair performs a r0t4tion 360 degrees rotation." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- Xet hash:
- 86dafb795d3b48ca8e062e0c46eeddbd2742271fe56ad4f234d0dfcfd0f4986b
- Size of remote file:
- 592 kB
- SHA256:
- bc02867fbfa7c7b38dd12751078739f0ff496080995f82027de0845e308e4bf4
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