¡BRUTAL! De Storyboard a Cine con GPT Image 2 y Seedance 2.0 🚀
Introduction to AI Storyboarding and Video Creation
Overview of the Tutorial
- This video tutorial focuses on designing storyboards using artificial intelligence and converting them into videos. The presenter, Fer, introduces the tools that will be used throughout the process.
Tools Used
- Two main models are utilized: GPT Image 2 for image creation and Sidans 2.0 for video generation. These models can be accessed through various platforms, including ChatGPT and Lumeflow.
Step 1: Creating Characters
Character Design Process
- The first step involves creating characters for the story using a text-to-image generator. It's crucial to describe each character in detail, including their appearance from multiple angles (front, profiles, back). This ensures consistency throughout the video.
- A document with prompts used for character creation will be provided to assist viewers in replicating the process. The configuration settings include a resolution of 1K and a single output result.
Step 2: Developing the Storyboard
Storyboard Creation
- In this phase, images of characters are combined with a prompt to create a storyboard that outlines different scenes in the video (e.g., actions like walking or attacking). Each scene's camera movements and lighting styles are also specified within this storyboard framework.
- Viewers will receive prompts used during this stage as well, allowing them to adapt these examples for their own projects while maintaining character consistency across scenes. Configuration remains at 1K resolution with one output result requested per scene generated.
Step 3: Generating Videos
Video Production Process
- After completing the storyboard, viewers learn how to generate videos using Sidans 2.0 by uploading reference images (characters and storyboard). Different versions of Sidans (fast and complete) are tested for comparison purposes in terms of output quality and fidelity to the storyboard details.
- The final video produced lasts approximately 15 seconds at a resolution of 720p; results vary between versions but both yield satisfactory outcomes based on viewer feedback regarding which version performed better overall.
Final Thoughts on Iteration and Consistency
Importance of Revisions
- The presenter emphasizes that achieving desired results may require multiple attempts or adjustments to prompts due to inherent variability in AI outputs; thus encouraging experimentation is key when working with these tools.
- Viewers can extend their projects beyond initial limitations by creating additional storyboards while ensuring character consistency across all scenes developed throughout their storytelling journey.
Conclusion & Further Learning Resources
Additional Learning Opportunities
- Fer invites viewers interested in further exploring GPT Image 2 capabilities to check out another tutorial featuring advanced tips and tricks related to AI-generated imagery.