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Adapted and enhanced an established generative motion project, originally based on the principles outlined in Motion In-betweening via Two-stage Transformers by Qin et al., by integrating IK controllers to optimize the efficency of the model.
A pipeline to transform a simple description into a multi-scene movie complete with voice acting and videos, all generated with SOTA tools and models.
Created a webui with Gradio to more easily use, train and evaluate/benchmark LoRAs for large language models like GPT-2, LLaMA, GPT-J, etc.