Instructions to use Remade-AI/Arc_shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Arc_shot 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/Arc_shot") prompt = "A young Black man wearing a grey baseball cap, a gold chain, and a black shirt stands in a recording studio, singing into a microphone. The background features a neon sign that says \"REMADE\" and a red couch. The 34Ar2c arc the camera moves in a smooth curve around the man, shifting the perspective around him as he performs with passion." 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:
- e869b2ab1cf5070d2314adabb0d091d147f89e0705635c6f3e318ac14bae7a23
- Size of remote file:
- 484 kB
- SHA256:
- ae8167a2de0f686bd5570df528efbd459f18b9ee0ef1d132e330e3b052f47f8f
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