Instructions to use Remade-AI/Samurai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Samurai 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/Samurai") prompt = "The video begins with a man. He begins the 54mur41 samurai transformation, and becomes a samurai. He is wearing a traditional samurai outfit, and is holding a katana. The background behind him is a misty mountainous landscape." 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 Settings
- Draw Things
- Xet hash:
- 65073841b8366658887590514c8cba44d3e8cda7c9e1cff0da3da1201734ca39
- Size of remote file:
- 633 kB
- SHA256:
- e67311788ca4160bd819c2ff9d6916a07b6bba78f1de3f0992d6d343e7acddff
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