Stylized video with Wan2.1

This post details the application of premade LoRA weights to the Wan 2.1 video generation model, enabling users to achieve stylized video output with minimal setup by providing a URL to arbitrary safetensors weights. It also outlines a new workflow for training custom LoRA weights using the `ostris/wan-lora-trainer` model, which involves preparing training images, setting a trigger word, and utilizing autocaptioning for style guidance. The post provides Python client examples for applying LoRAs and lists several premade styles.