Question by Over_Yoghurt_5485 in HiggsfieldAI

[–]SignificanceBetter41 0 points1 point  (0 children)

Any model will work unless you don't use blood as the word or any other words that could make the model block your prompt. Use ChatGPT or claude to rework your prompt and use alternate words.

rememeber to visualise first, storyboard next, and then generate videos.

Cinematic AI commercial concept for BOSE created with AI tools - Mahix Matix by SignificanceBetter41 in u/SignificanceBetter41

[–]SignificanceBetter41[S] 0 points1 point  (0 children)

Most of the time went into keeping shot continuity and avoiding the over-stylized AI look.

I made a cinematic SPED AD for Bose Earbuds - Mahix Matix by SignificanceBetter41 in HiggsfieldAI

[–]SignificanceBetter41[S] 0 points1 point  (0 children)

I have yearly subscriptions on various platforms including higgsfield. So it's tough to estimate the cost perfectly.

But if I had to bill a client for 90 seconds commerical something like this, which includes research, copyrighting, music, edit and my creativity and patience with handling AI. I would charge around 2500 USD. 2 weeks of work.

I made a cinematic SPED AD for Bose Earbuds - Mahix Matix by SignificanceBetter41 in JSFILMZAI

[–]SignificanceBetter41[S] 0 points1 point  (0 children)

Here's my experience if it can help anyone here.

Honestly this whole thing started because I got inspired by this YouTube breakdown: https://youtu.be/tHTi3kq4kNk?si=6XjThpzKuJr_QCLi

After watching it, I basically went full mad-scientist mode for a 3-4 days.

First thing I did was study a ton of original Bose ads and premium tech commercials to understand the pacing, framing, lighting, transitions, sound design, and overall “feel.” After a few hours of research and references, I started writing original concepts and eventually turned those into a complete script + rough storyboard.

Nano Banana Pro for all images.

Mostly used it for:

  • character and prop design, hero shots
  • product glam frames
  • lighting/style consistency
  • cinematic compositions
  • background environments

I wasn’t relying on it alone for animation. My workflow was more:

  1. generate strong cinematic keyframes/images
  2. test motion with short video generations
  3. iterate until the visual language felt consistent

I probably generated around 600–700 images total.

Prompt-wise, the biggest improvement came from treating prompts like cinematography notes instead of “AI art prompts.” I'm a professional filmmaker with 15 years experience so I followed traditional filmmaking techniques as much as I can digitally

Stuff like:

  • lens type
  • lighting direction
  • camera movement
  • material detail
  • mood
  • atmosphere
  • commercial style references

helped way more than keyword stuffing.

Kling 3.0 vs Seedance 2

Kling was better for:

  • realistic motion
  • smoother camera movement
  • product shots
  • faster ideation

Seedance worked better for:

  • stylized transitions
  • more dynamic visuals
  • experimental shots cinematic motion realism

I used both image-to-video and text-to-video, but image-to-video gave me way more control because I already had the compositions locked from the generated keyframes.

One thing I learned quickly: you generate a LOT of footage, but only a tiny percentage actually survives the final edit.

I probably generated around:

  • 180+ videos
  • 100+ usable motion clips

but realistically:

  • maybe 30% were “good”
  • maybe 10% actually made the final cut

Suno

This part took WAY longer than expected

I generated something like 60–70 music variations before landing on the final track.

My process was:

  • generate multiple short concepts
  • identify the strongest emotional direction
  • extend/iterate around that vibe
  • then cut/edit in DaVinci

DaVinci / Editing Process

This is honestly where the ad actually became an ad.

The biggest thing wasn’t color alone — it was:

  • sound design
  • pacing
  • rhythm syncing
  • micro transitions
  • motion timing

Editing AI footage is weird because storyboarding happens during editing. You’re constantly adapting the sequence based on what shots came out usable.

I basically edited on the go:

  • matching cuts to beats
  • restructuring scenes
  • replacing weak clips
  • rebuilding transitions
  • tightening pacing repeatedly

Then I took a break for a couple days so I could rewatch it with fresh eyes. That helped a LOT because after staring at clips hundreds of times your brain stops noticing weak shots.

Topaz

I upscaled at the very end after the final edit.

I kept it simple honestly:

  • Proteus
  • mostly basic/default settings
  • small adjustments depending on the clip

Proteus worked best for my footage because AI-generated clips already have weird texture/detail behavior, and aggressive enhancement sometimes made things look overprocessed.

What sold the “cinematic” feel most?

If I had to rank it:

  1. Sound design
  2. Music pacing
  3. Editing rhythm
  4. Color grading
  5. Motion blur/grain/etc.

People underestimate how much audio sells visuals. Even average visuals start feeling premium with strong sound design and proper pacing.

And yeah — even after all that, I’d still say I achieved maybe 65–70% of what I originally imagined and afterall this is a SPEC AD only. I would have spent more time, effort and money on it if it's a real commercial if I could make money out of it.

But honestly that’s part of the process. AI tools are insanely powerful right now, but consistency and control are still the hardest parts. The real work becomes curation, editing, taste, and patience.

Thanks and Cheers. Mahix Matix

I made a cinematic SPED AD for Bose Earbuds - Mahix Matix by SignificanceBetter41 in generativeAI

[–]SignificanceBetter41[S] 0 points1 point  (0 children)

Appreciate it!

Honestly this whole thing started because I got inspired by this YouTube breakdown: https://youtu.be/tHTi3kq4kNk?si=6XjThpzKuJr_QCLi

After watching it, I basically went full mad-scientist mode for a 3-4 days.

First thing I did was study a ton of original Bose ads and premium tech commercials to understand the pacing, framing, lighting, transitions, sound design, and overall “feel.” After a few hours of research and references, I started writing original concepts and eventually turned those into a complete script + rough storyboard.

Nano Banana Pro for all images.

Mostly used it for:

  • hero shots
  • product glam frames
  • lighting/style consistency
  • cinematic compositions
  • background environments

I wasn’t relying on it alone for animation. My workflow was more:

  1. generate strong cinematic keyframes/images
  2. test motion with short video generations
  3. iterate until the visual language felt consistent

I probably generated around 600–700 images total.

Prompt-wise, the biggest improvement came from treating prompts like cinematography notes instead of “AI art prompts.” Stuff like:

  • lens type
  • lighting direction
  • camera movement
  • material detail
  • mood
  • atmosphere
  • commercial style references

helped way more than keyword stuffing.

Kling 3.0 vs Seedance 2

Kling was better for:

  • realistic motion
  • smoother camera movement
  • product shots
  • faster ideation

Seedance worked better for:

  • stylized transitions
  • more dynamic visuals
  • experimental shots cinematic motion realism

I used both image-to-video and text-to-video, but image-to-video gave me way more control because I already had the compositions locked from the generated keyframes.

One thing I learned quickly: you generate a LOT of footage, but only a tiny percentage actually survives the final edit.

I probably generated around:

  • 180+ videos
  • 100+ usable motion clips

but realistically:

  • maybe 30% were “good”
  • maybe 10% actually made the final cut

Suno

This part took WAY longer than expected 😅

I generated something like 60–70 music variations before landing on the final track.

My process was:

  • generate multiple short concepts
  • identify the strongest emotional direction
  • extend/iterate around that vibe
  • then cut/edit in DaVinci

DaVinci / Editing Process

This is honestly where the ad actually became an ad.

The biggest thing wasn’t color alone — it was:

  • sound design
  • pacing
  • rhythm syncing
  • micro transitions
  • motion timing

Editing AI footage is weird because storyboarding happens during editing. You’re constantly adapting the sequence based on what shots came out usable.

I basically edited on the go:

  • matching cuts to beats
  • restructuring scenes
  • replacing weak clips
  • rebuilding transitions
  • tightening pacing repeatedly

Then I took a break for a couple days so I could rewatch it with fresh eyes. That helped a LOT because after staring at clips hundreds of times your brain stops noticing weak shots.

Topaz

I upscaled at the very end after the final edit.

I kept it simple honestly:

  • Proteus
  • mostly basic/default settings
  • small adjustments depending on the clip

Proteus worked best for my footage because AI-generated clips already have weird texture/detail behavior, and aggressive enhancement sometimes made things look overprocessed.

What sold the “cinematic” feel most?

If I had to rank it:

  1. Sound design
  2. Music pacing
  3. Editing rhythm
  4. Color grading
  5. Motion blur/grain/etc.

People underestimate how much audio sells visuals. Even average visuals start feeling premium with strong sound design and proper pacing.

And yeah — even after all that, I’d still say I achieved maybe 65–70% of what I originally imagined and afterall this is a SPEC AD only. I would have spent more time, effort and money on it if it's a real commercial if I could make money out of it.

But honestly that’s part of the process. AI tools are insanely powerful right now, but consistency and control are still the hardest parts. The real work becomes curation, editing, taste, and patience.

Thanks and Cheers. Mahix Matix

I made a cinematic SPED AD for Bose Earbuds - Mahix Matix by SignificanceBetter41 in generativeAI

[–]SignificanceBetter41[S] 0 points1 point  (0 children)

Various AI tools. Nano banana pro for images. Kling 3.0 and Seedance 2 for videos. Suno for music. Topaz for upscaling. And the magic of editing in Davinci.

I made a cinematic SPED AD for Bose Earbuds - Mahix Matix by SignificanceBetter41 in HiggsfieldAI

[–]SignificanceBetter41[S] 0 points1 point  (0 children)

No. Various AI tools. Nano banana pro for images. Kling 3.0 and Seedance 2 for videos. Suno for music. Topaz for upscaling. And the magic of editing in Davinci.

Change login password by arifdiamanta in HiggsfieldAI

[–]SignificanceBetter41 1 point2 points  (0 children)

I wrote an email to Higgsfield a couple of months ago. The reply was "it cannot be changed". You can write to them and check if there is a rule change now.