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/Jumpscare")
prompt = "The video shows a man with a slight smile, then the j432mpscare jumpscare occurs, revealing a distorted and monstrous face with glowing red eyes, filling the frame and accompanied by a loud scream."
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 Jumpscare your friends
The key trigger phrase is: j432mpscare jumpscare
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