Pay special attention to the following points when using the image-to-video function:
- Input quality requirements: It is recommended that the resolution of uploaded JPG/PNG images be higher than 512×512, blurred or low-pixel images will result in distortion of dynamic effects
- Cue Match: the desired effect of the action should be described in additional text, such as "make the waves in the photo start to wave", and the description should be consistent with the logic of the original content of the picture.
- Exercise rationality: The system has limited support for large-scale scene changes, and it is recommended to keep the subject unchanged with micro-movements in the environment (e.g., hair fluttering, leaves shaking)
- copyright risk: Avoid using potentially infringing portraits or works of art as source images
Typical application scenarios include: converting product still lifes to 3D display videos, adding breathing animation effects to family photos, converting design sketches to conceptual presentations, etc. After each generation, the naturalness of the action should be carefully checked, and the effect can be optimized by adjusting the accuracy of the verb in the cue word (e.g. changing "walk" to "walk slowly").
This answer comes from the articleVeo3.bot: free tool for generating high quality AI videosThe
May not be reproduced without permission:AI productivity tools " What are the considerations for Veo3.bot's image-to-video feature?
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