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Learn to fine-tune the Wan 2.1 VACE model for professional costume replacement in video production through this comprehensive tutorial. Explore the practical use case of digitally swapping actors' costumes after filming, understanding why complex ComfyUI workflows and custom model training are essential for Hollywood-level results. Discover the architecture and capabilities of the Wan 2.1 VACE model, including proper handling of reference videos, aspect ratios, and video length considerations. Master essential techniques for character masking and pose estimation to prepare high-quality training data. Follow the complete process of training a LoRA (Low-Rank Adaptation) on the Oxen.ai platform, from data preparation through fine-tuning parameters. Navigate the integration of your trained LoRA into ComfyUI workflows, understanding sampler feeding strategies and optimization techniques. Develop skills in effective prompting and data labeling for improved model performance, then learn compositing methods to seamlessly integrate AI-generated costume changes back into original video frames. Examine real-world results and gain insights from professional applications in the entertainment industry, with opportunities for questions and discussion about advanced fine-tuning strategies.
