NEW! AI Filmmaking TUTORIAL Series – 02: Achieving Perfect AI Character Consistency! скачать в хорошем качестве

NEW! AI Filmmaking TUTORIAL Series – 02: Achieving Perfect AI Character Consistency!

IMAGINE ART FILMS COMMUNITY JOIN OUR GROUP - LEARN, SHARE AND BUILD A PORTFOLIO https://www.skool.com/imagine-art-films RESSOURCES - Please create a FREE SKOOL account to download the resources of this tutorial. TUTORIAL 02 - THE CHARACTERS This pull request introduces a comprehensive workflow for creating AI-generated characters using the Replicate platform. The workflow includes the following steps: **Master Image Creation**: Generate a highly realistic original image for each character. **Image Upscaling**: Enhance the quality of the original image. **Pose Generation**: Create multiple images with varied poses, angles, and styles to build a dataset. **Image Dataset Preparation**: Save images with sequential numerical file names. **Caption Generation**: Optionally generate AI captions for each image to provide context. **Final Dataset Compilation**: Zip all images and text files for model training. **LoRa Model Creation**: Train the LoRa model using the prepared dataset. **Model Testing**: Evaluate the performance of the generated model. Assumptions The user has access to the Replicate platform and understands its basic functionalities. Users are familiar with image editing software for tasks such as upscaling and cropping images. Users have a basic understanding of AI character generation and the importance of dataset quality for model training. Testing Strategy Validate the generated images against the original master images to ensure consistency. Test the LoRa model by generating new images and assessing their quality and relevance to the intended character design. Review the captions generated for accuracy and appropriateness in describing the images.