

Foleycrafter
Overview :
FoleyCrafter is a text-based video to audio generation framework capable of producing high-quality audio that is semantically relevant to the input video and time-synced. This technology holds significant importance in video production, especially during post-production, where it can greatly enhance efficiency and audio quality. It was jointly developed by the Shanghai Artificial Intelligence Laboratory and the Chinese University of Hong Kong, Shenzhen.
Target Users :
FoleyCrafter is primarily targeted at video creators, post-production personnel, and professionals who require high-quality video audio. Through automated audio generation, FoleyCrafter helps them save time, improve workflow efficiency, and ensure that the audio aligns perfectly with the visual content and maintains synchronicity.
Use Cases
Video creators use FoleyCrafter to add environmental sounds to nature documentary footage.
Post-production personnel leverage FoleyCrafter to generate matching sound effects for animated videos.
Professionals utilize FoleyCrafter to add background music and environmental sounds to silent videos, enhancing the overall quality.
Features
Generate high-quality audio that is semantically relevant to the video content.
Support customization of audio generation effects through text prompts.
Align with visual cues in time, achieving synchronized sound and visuals.
Suitable for audio synthesis of different types of videos, including nature scenes and animations.
Provides code and demos to facilitate user understanding and usage.
Support negative prompting to avoid unwanted audio effects.
How to Use
Visit FoleyCrafter's official website.
Read the product introduction and usage instructions to understand its functionality.
Browse the gallery to explore audio synthesis effects for various video types.
Download the code or try the online demo to experience FoleyCrafter's capabilities.
Input text prompts or negative prompts as needed to customize audio generation.
After audio generation, conduct synchronization tests with the video to ensure audio quality and synchronicity.
Adjust parameters based on feedback to optimize the audio generation results.
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