Wan2.1 14B T2V LoRAs
Collection
A collection of Remade's Wan2.1 14B T2V LoRAs
• 20 items • Updated • 35
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("Remade-AI/Animal-Documentary")
prompt = "4n1m4l animal documentary The video shows a close-up of a chimpanzee grooming its infant, set against the backdrop of a lush green jungle."
output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate videos in the style of an animal documentary!
The key trigger phrase is: 4n1m4l animal documentary
For prompting, check out the example prompts; this way of prompting seems to work very well.
This LoRA works with a modified version of Kijai's Wan Video Wrapper workflow. The main modification is adding a Wan LoRA node connected to the base model.
See the Downloads section above for the modified workflow.
The model weights are available in Safetensors format. See the Downloads section above.
Training was done using Diffusion Pipe for Training
Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!
Base model
Wan-AI/Wan2.1-T2V-14B