Instructions to use Remade-AI/Car-chase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Car-chase 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/Car-chase") prompt = "The video depicts a dramatic nighttime c4r ch4s3 car chase unfolding on a winding mountain road. A dark sports car, with its headlights blazing, speeds along the road, followed closely by a blue motorcycle. A helicopter hovers above the car and motorcycle, shining a spotlight. The camera begins positioned low and slightly behind the car's rear passenger side, capturing the pursuit by the motorcycle and helicopter. The camera pans slightly, tracking the car as it drifts into a turn, revealing the helicopter still in pursuit, emphasizing the ongoing c4r ch4s3 car chase." 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
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