Instructions to use Remade-AI/Assassin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Assassin 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/Assassin") prompt = "The video starts with a portrait of a dog. Then, the 3p1c epic transformation starts. The dog is wearing a red coat, and the 3p1c epic transformation is complete. The dog is holding a gun in each hand. The dog has white hair and black gloves." 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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 0f9b3f39dca548d87e811dabe9454b744cacf11e67193c811b989d3b644dfb1a
- Size of remote file:
- 10.2 MB
- SHA256:
- 1f9aceb16bc50da627f100f308e6a4f8fb37dc6aab2e397f02b14a6d148e27c3
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