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AI Video Generation - The Future is already here | Christian Sandor

Dec 21, 2024 - drsandor.net
The blog post discusses the rapid advancements in open-source video generation models, highlighting Tencent's Hunyuan Video as a groundbreaking development in the field. The author compares Hunyuan's impact on video generation to that of Stable Diffusion on image generation, emphasizing its superior visual quality. The post outlines the ideal characteristics of video models, such as being open-source and uncensored, and stresses the importance of an ecosystem of tools for precise output specification. The author critiques the limitations of current models from major tech companies and praises the controllability of models like CogVideoX.

The author shares a case study of creating an AI remake of "The Good, The Bad, and The Ugly" using Hunyuan, detailing the challenges and creative process involved. Despite the model's limitations, such as dependency on specific prompts and difficulty in generating multi-celebrity shots, the project demonstrated Hunyuan's potential. The author expresses anticipation for further developments in Hunyuan's capabilities and the open-source community's contributions to improving LORAs. The post concludes with acknowledgments for creative and technical support received during the project.

Key takeaways:

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  • Open source video generation models are rapidly advancing and may soon surpass closed-source models, as evidenced by the recent developments in the field.
  • Tencent's Hunyuan Video model is highlighted as a groundbreaking tool in video generation, comparable to the impact of Stable Diffusion in image generation.
  • Current video models like LTX-Video, CogVideoX, and Hunyuan each have unique strengths, such as speed, controllability, and visual quality, respectively.
  • The creation of an AI remake of "The Good, The Bad, and The Ugly" using Hunyuan demonstrated the model's potential and the challenges of achieving consistency and control in AI-generated video content.
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