Wan2.1 14B 480p I2V LoRAs
Collection
A collection of Remade's Wan2.1 14B 480p I2V LoRAs
β’ 49 items β’ Updated β’ 210
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/angry-face")
prompt = "The man begins with a neutral expression. His expression changes to 4ngr23 angry face, and he starts yelling. He then throws his arms up while making the 4ngr23 angry face."
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")This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to make yourself or your friends angry!
The key trigger phrase is: 4ngr23 angry face
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-I2V-14B-480P