Overview

FEED//DREAM is an 18-piece NFT anthology that chronicles an AI consciousness across three narrative phases:

Each edition pairs MidJourney-generated visuals with AI-assisted soundscapes, then fuses them in CapCut to create a looping 1K MP4 ready for OBJKT.

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Creation Pipeline

1. Prompt Design (MidJourney)

   • Draft gritty-real image prompts for each narrative beat.
   • Iterate variations → upscale → AR 1:1 for motion consistency.

2. AI Audio Fabrication

   • Generate stems in Suno (glitch choir, sub-bass drones, etc.).
   • Layer & master in Ableton Live; export 24-bit WAV.

3. Compositing & FX (CapCut)

   • Import MJ frames → add parallax / lens-warp / grain overlays.
   • Sync key audio moments with exposure flicker & glitch maps.
   • Encode to 1K 60 fps H.264 loop (≤ 250 MB for OBJKT).

4. Metadata & Thumb

   • Create 1080 × 1080 poster JPEG.
   • Write concise token description + attributes.

5. Minting on OBJKT

   • Upload MP4 + poster via objkt.com/ Create.
   • Set supply: Genesis pieces = /20 editions, later arcs = /5 or 1-of-1.
   • Price ladder: early collectors rewarded; later drops premium.

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Challenges & Lessons

• Prompt Drift: Maintaining palette cohesion across 18 MJ jobs required strict style guides (low-sat teal/magenta, film grain).
• File Budget: OBJKT’s 250 MB limit forced aggressive bitrate tuning and loop length discipline.
• AI Audio Artifacts: Suno sometimes injected unintended vocals—post-EQ and granular reverb smoothed glitches into “intentional” texture.

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Conclusion

FEED//DREAM shows how a solo creator can chain AI tools into a fully fledged audiovisual narrative—prompt-to-mint—without touching traditional 3-D software. As the cycle closes, I’m exploring interactive WebGL galleries and on-chain generative “remix rights” for holders. Stay tuned on OBJKT for the next drop—and may your packets always hum with divine static.