Wan-2.1
Collection
10 items • Updated • 1
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import export_to_video
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-14B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("joyfox/one_finger_wan21_t2v_lora")
prompt = "0n3_f1n9er, 一只猴子坐在树上攀爬,然后对着镜头前竖起中指"
output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")


Wan 2.1 basic model cannot make animals raise their index fingers like humans. This model is designed to enable animals to raise their index fingers. The content generated using this model must not be used to offend or infringe upon others; otherwise, all responsibilities will be borne by the user. This model is an LORA model trained based on the WAN2.1 T2V 14B model. It was trained using a dataset of 20 excellent images and was trained for 3200 steps, taking a total of 3 hours. Recommendation weight: 0.6.
You should use 0n3_f1n9er to trigger the image generation.
Download them in the Files & versions tab.
Base model
Wan-AI/Wan2.1-T2V-14B