Tsunami

Instala Diffusers y sus dependencias, carga el modelo base Wan2.1 T2V 14B y aplica los pesos LoRA de Tsunami. Incluye la frase activadora t5un@m1 realistic tsunami en el prompt.

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/Wan2.1-T2V-14B",
    dtype=torch.bfloat16,
    device_map="cuda"
)
pipe.load_lora_weights("Remade-AI/Tsunami")

prompt = "The video shows a coastal village hit by a t5un@m1 realistic tsunami. Buildings are flooded, boats are capsized, and debris litters the streets, while people are seen evacuating the area."
output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

Para ComfyUI, utiliza el archivo tsunami_4_epochs.safetensors con el flujo wan_txt2vid_lora_workflow.json y conecta un nodo Wan LoRA al modelo base.