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I told Codex to "compose a concerto" using GPT-6 Astra just to see what would happen. It composed "Lanterns at the Water", a three-movement miniature concerto for piano and string orchestra, and generated MIDI, editable MusicXML scores, and a synthesized audio preview. I asked for a creative visualization and...

15,990 просмотров • 5 дней назад •via X (Twitter)

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Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Travis Davids

19,236 просмотров • 4 месяцев назад

I mentioned previously that I had been working for a couple months now on a system for applying AI to music theory. It's one of my few closed-source projects. It's a combination of a Rust cli tool, mtdt (music_theory_data_tool), which handles all mechanical aspects of importing and exporting and manipulating music in any format (midi, PDF, MusicXML, audio, etc.), and a huge skills library which is based on massive amounts of academic music theory and more. I asked the system to create a Bach fugue using GPT-6 Astra and the mtdt tool and the relevant skills, and it created the following. Notably, this didn't involve any external software other than mtdt, including the creation of the print-ready PDF score. It can do much, much more than this though. It can take a melody and write counterpoint for it, grounded in the theory, and using the mtdt tool to help it mechanically explore the space of "legal" possibilities while using its skills and intelligence to make artistic choices. It can make a ragtime version of a midi file. It can take a piano piece and re-orchestrate it for a brass band or string quartet. It covers a huge amount of stuff across over 300 skills. I'm not sure what I will do with the system ultimately, but I envisioned it as being an AI workstation for professional composers and musicians. You can see in the screenshot that it does a huge amount of intermediate work that is inspectable and legible; it's intentionally NOT a black box. Instead of outsourcing the entire musical process end-to-end like Suno, this system is about augmenting the creative human with as much or as little automation as desired. I continue to work on it with a couple agents every single day and it will keep getting better and better, and then with each new model release it will be better able to leverage the vast amount of expertise and knowledge about music that is already embedded in its cli tool and skills library.

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This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

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