Inspiration

We wanted to tell a love story that didn’t shy away from the harder realities queer people face — especially in environments where love isn’t always easy, safe, or seen.
Now People Say was inspired by stories of gay love in working-class neighborhoods, and our need to show that even in the grittiest places, tenderness and vulnerability can survive.
It’s also an exploration of heartbreak: how two people can walk away from the same love with very different memories of what it meant.

What it does

This project combines AI-generated music, lyrics, and video to tell the story of Josh and Brandon — two young men from South Central L.A. who were once in love.
The video doesn’t offer easy answers. It invites the viewer into a world where masculinity, context, and love collide, and where the ending is left open — just like real life.
It’s a standalone short, but also a window into the kind of storytelling we’re trying to build at @Homopolitan_AI.

How we built it

We created the music and lyrics collaboratively using AI-assisted composition tools and refined them for emotional clarity and lyrical structure.
Visually, we used a combination of ComfyUI (HiDream, ControlNet), Kling 1.6, and custom video-to-video workflows for character animation, stylized scenes, and narrative transitions.
We also leveraged interpolation, local frame editing, and post-production in Premiere Pro for the final assembly.
Character consistency, emotional continuity, and cultural authenticity were key to every step.

Challenges we ran into

  • Maintaining character consistency across scenes with AI-generated outputs
  • Balancing emotional subtlety with limited control over facial nuance and body language
  • Technical limitations in video generation, requiring workarounds through interpolation and post-processing
  • Time pressure: we pushed to deliver a layered, high-emotion story while juggling other ongoing projects

Accomplishments that we're proud of

  • Creating a complete AI-powered narrative music video with emotional weight and cultural specificity
  • Achieving a sense of queer intimacy and urban realism that rarely exists in AI media
  • Pushing our visual workflow into more cinematic and story-driven territory
  • Raising the bar for what @Homopolitan_AI can do — and what our audience can expect

What we learned

  • AI can tell emotional stories — but it takes intentionality, iteration, and real-world grounding
  • Storytelling is more powerful when it reflects voices and places that are often unseen
  • Realism and vulnerability can resonate just as much as spectacle
  • A one-minute look or silence can say more than a thousand words

What's next for Now People Say

We’re currently developing short-form expansions of the video for reels and platforms like TikTok, while preparing to integrate Josh and Brandon’s story into a larger narrative universe.
@Homopolitan_AI will continue blending music, video, and AI storytelling — next with a lighter tone, but always rooted in queer truth.
This is just one chapter in a growing catalog of stories that make space for all kinds of love.

Built With

  • comfyui
  • elevenlabs
  • flux-dev
  • hailuoai
  • hidream
  • klingai
  • riffusion
  • udio
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