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/Film-Noir")
prompt = "f11m_n01r film noir, black and white video, a man in a dark trench coat and fedora stands under a flickering streetlamp in a deserted alley. Smoke drifts from a cigarette in his hand, and his face is partially obscured by the shadow of his hat. Rain slicks the pavement, reflecting the glow of distant headlights."
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 style of old Film Noir movies!
The key trigger phrase is: f11m_n01r film noir, black and white video
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