"The Name Of The Game Is Power" - AI Music Video Creation Process: 100% AI visuals, 100% human-made music Music: "Gone In 60 Seconds" by Mark DK Berry (available from https://markdkberry.bandcamp.com/trac... ) Introduction With the release of Wan 2.1 i2v (image-to-video) model for Comfyui in early March 2025, it opened up a whole new world of creative possibility. The track "Gone In 60 Seconds" seemed like a good choice for my next music video to test it out. Hardware & Setup **Equipment**: RTX 3060 (12GB VRAM), Windows 10, 32GB system RAM **Required Installations**: Sage attention, Triton, and Teacache **Note**: First sage attention install killed my Comfyui installation and required rebuilding (blessing in disguise as my setup had become bloated) Workflow Overview I spent a few days researching workflows then picked the best I could find. The workflow is available here: https://comfyworkflows.com/workflows/... I ended up using the same i2v workflow almost exclusively because it included interpolation and upscaling, which cut down post-production time. When making previous AI music videos, I limited myself to 5 days, but with image-to-video I aimed for better quality and more accurate depictions, giving it more time. I aimed at 10 days but managed to complete this version in 8. Image Creation Process 1. Used Flux-dev-fp8 in Comfyui to create base images (1344 x 768) 2. Used Krita with ACLY AI plugin (SDXL and Flux model) for segmenting, inpainting, and tweaking 3. Created my own Lora in Flux (3-hour process) to avoid copyright issues after previous experiences 4. Shotcut (or Topaz) for interpolating from 16 to 24 fps (I didnt use the Topaz enhancement features as I didnt feel it helped much after testing; it just improved the clarity of the underlying digital gremlins). Prompt Engineering Once input images were ready, I used AI assistants (Claude, Grok, or ChatGPT) to generate prompts based on criteria from a prompt-extender developed by Wan developers. This worked much better than simple 3-sentence requests (see the workflow link for that info https://comfyworkflows.com/workflows/... ). Video Generation Used Wan 2.1 i2v workflow to create 3-second video clips (16fps with upscale and interpolation) Most clips required 3-4 attempts, but some (especially car & motorcycle acceleration shots) took 20+ attempts Tried multiple Wan models but all struggled with moving vehicles while keeping other elements stationary Seed changes resolved most issues Post-Production Assembled clips in Davinci Resolve Spent time replacing unusable shots Acceptance & drawing a line in the sand Lessons Learned **Organization**: This process required tracking much more information than before, including shot-naming conventions and multiple CSV sheets to manage good/bad takes. When lipsync and ambient audio comes along, this is going to be challenging work for one person. **Flexibility**: The story I began with wasn't the story I ended up creating - it's best to start with a plan but allow AI to redirect it **Quality vs. Storytelling**: Sometimes sacrificing visual quality for storytelling works better, especially given hardware limitations Final Thoughts This AI model really feels like a leap ahead into a new dawn in visual storytelling. Just like in the 1920s when silent movies emerged, we are in the AI equivalent in 2025. Perhaps independant artists and activists will even stand a chance of challenging the Hollywood & Netflix narratives within a year or two. Follow and support me on my social media accounts as I continue this journey into AI music video creation. I hope you enjoyed this one. https://www.markdkberry.com https://markdkberry.bandcamp.com/ IG @ markdkberry X @ markdkberry #aimusicvideo #ai #music #musicvideo #markdkberry #wanx #comfyui