Written and reviewed by Manish Kulkarni · About the author
Image and video generation tools respond dramatically to specificity. "A dog" produces a generic result. "A scruffy golden retriever puppy running through autumn leaves, golden-hour lighting, shallow depth of field" gives the model far more to work with.
This is an illustrative progression, not output from a test:
Hands, text inside images, and precise counts of objects (like "exactly 5 apples") remain harder for most image models. Expect to regenerate a few times, or fix those parts in an editor. Keeping the same character or product consistent across several images is also difficult unless the tool offers a reference-image feature.
Ownership and usage rights for AI-generated images vary by tool and by country, and the law is still developing. In some countries, including the United States, purely AI-generated material may not qualify for copyright without meaningful human authorship, so check the rules where you live. For anything commercial, read the specific tool's terms of service instead of assuming standard copyright rules apply. Some platforms and publications also require you to disclose that an image or video was AI-generated.
Usually yes with most major tools, but terms vary — always check the specific platform's usage rights before commercial use.
Often subtle issues with lighting consistency, anatomy, or texture that don't match real-world physics — worth a close look before using anything in a professional context.
Not yet — video generation is newer and generally requires more iteration and shorter clip lengths compared to the more established image generation space.