![]() ![]() If history is any guide, competitive open source text-to-video models may follow (some, like CogVideo, already exist), which could make Meta's watermark safeguard irrelevant. ![]() At the bottom of the announcement page, Meta says that all AI-generated video content from Make-A-Video contains a watermark to "help ensure viewers know the video was generated with AI and is not a captured video." Meta acknowledges that the ability to create photorealistic videos on demand presents certain social hazards. Then it can predict what comes after the image and display the scene in motion for a short period.įurther Reading Runway teases AI-powered text-to-video editing using written prompts Instead of training the Make-A-Video model on labeled video data (for example, captioned descriptions of the actions depicted), Meta instead took image synthesis data (still images trained with captions) and applied unlabeled video training data so the model learns a sense of where a text or image prompt might exist in time and space. In July, Meta announced its own text-to-image AI model called Make-A-Scene. The key technology behind Make-A-Video-and why it has arrived sooner than some experts anticipated-is that it builds off existing work with text-to-image synthesis used with image generators like OpenAI's DALL-E. For example, a still photo of a sea turtle, once processed through the AI model, can appear to be swimming. ![]() On Make-A-Video's announcement page, Meta shows example videos generated from text, including "a young couple walking in heavy rain" and "a teddy bear painting a portrait." It also showcases Make-A-Video's ability to take a static source image and animate it. #Teddy bear portraits generator#Further Reading DALL-E image generator is now open to everyone ![]()
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