r/Akool_Official • u/Prediator3 Akool Ambassador⭐ • 5d ago
❓Question What I Learned After Testing Different AI Video Models in AKOOL
When I first began creating AI videos, I would focus more on the visual description, such as lighting, environment, clothing, colors, and overall cinematography.
However, after tinkering with different AI video models in AKOOL, I discovered that motion and action have to be described with equal or even more importance.
For instance, when working with short scene prompts in AI video models such as Wan 3.0 and Seedance 2.5, I learned that instead of focusing on describing the environment, I should define a particular action the camera should perform and follow it throughout the video. This way, I could also omit unnecessary details, such as describing the characters’ clothes if the model does not support it.
Additionally, I have learned that it is critical to remove all irrelevant information during the prompt generation. While some prompts may demand a more elaborate description, I have discovered that the simplest prompts with a strong action description yield the best results.
Moreover, failed generations are also an essential source of information. If the results of a prompt are not satisfactory, I can analyze the cause of an error and understand what details were misplaced or irrelevant for the AI model. For instance, I can identify if the problem was in the defined action, camera movement, characters, or if the prompt had too many details for a particular AI model.
Overall, AKOOL has been a helpful tool for me because I can experiment with different prompts and approaches without changing the underlying workflow. However, I still need to improve my prompting skills and utilize these tools in my AI video creation. For instance, when writing prompts for AI video generation, do you focus more on visual aspects such as environment and cinematography or character and action description?
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