How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("neph1/ancient_rome_wan")

prompt = "-"

output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

Ancient Rome Lora Wan2.2 T2V 14B

Mirror of: https://civitai.com/models/1339539/ancient-rome-lora

Low noise model is trained for 30 epochs.

High noise model is trained for 20 epochs.

Downloads last month
31
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for neph1/ancient_rome_wan

Adapter
(48)
this model

Collection including neph1/ancient_rome_wan