Dogs

Instala las dependencias:

pip install -U diffusers transformers accelerate

Carga el modelo base Wan2.1 14B T2V, aplica el LoRA y genera el vídeo:

import torch
from diffusers import DiffusionPipeline
from diffusers.utils import export_to_video

# Cambia a "mps" para dispositivos Apple
pipe = DiffusionPipeline.from_pretrained(
    "Wan-AI/Wan2.1-T2V-14B",
    dtype=torch.bfloat16,
    device_map="cuda"
)
pipe.load_lora_weights("Remade-AI/Dogs")

prompt = "d48g dog video A beagle puppy is sitting in a basket on a bicycle, ears flapping in the wind as the bike moves forward. The dog looks excited, glancing side to side at the passing scenery. The road is lined with trees, their leaves bright green."
output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

Incluye la frase de activación d48g dog video al comienzo del prompt. También puede utilizarse en ComfyUI mediante el flujo Wan T2V modificado que añade un nodo Wan LoRA conectado al modelo base.