I just solved the biggest AI Filmmaking Issue: Voice Consistency

Native audio in your AI Video generations has become the standard, but there’s an issue that every creator has come across. Everybody wants to answer the question: How do you get a consistent voice across each of the video generations? Here are the 3 workflows below that I show in the tutorial: Prompting: This workflow is simply prompting for the specific voice, accent, and tone. It’s not preferred, but sometimes you can get somewhat similar outputs in your generations. Speech-to-Speech: This is a pretty underused tool when it comes to AI audio. It produces some pretty solid output. Reference Audio Cloning (Our Favorite): This workflow uses a reference audio when prompting inside of an omni model. This is the best workflow in our experience. Time Code: 00:00 Intro 01:43 Workflow #1: Text Prompting 06:10 Workflow #2: Speech-to-Speech 10:58 Workflow #3: Utilizing Voice Reference and an Omni Model Here's a full breakdown of the workflows from the video: https://curiousrefuge.com/blog/how-to-get-consistent-ai-voices Our Summer sale is live tomorrow! Explore the course here: https://curiousrefuge.com/courses Get Access to All of Our Courses: https://curiousrefuge.com/curious-refuge-membership Get Tutorials Sent to you every week: https://curiousrefuge.com/start-here Here's a look at upcoming AI events around the world: https://curiousrefuge.com/ai-film-events Links to the tools from the video: Elevenlabs Speech-to-Speech: https://elevenlabs.io/blog/speech-to-speech Seedance Omni: https://seed.bytedance.com/en/seedance2_0 Kling Omni: https://kling.ai/quickstart/klingai-video-3-omni-model-user-guide Veo 3.1: https://gemini.google/overview/video-generation/ Magnific: https://magnific.ai/