Episode Transcript
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Speaker 1 (00:00):
Happy Thursday, September twenty fifth, twenty twenty five. You're listening
to the Blue Lightning AI Daily podcast. I'm Zan your
residence settings tweaker and render killer, and.
Speaker 2 (00:09):
I'm Pippa here for vibes and velocity. Also quick psa.
This episode was made with AI. If my voice glitch
cuts like a TikTok transition, we're keeping it.
Speaker 3 (00:19):
It's part of the art.
Speaker 1 (00:20):
Today's headline cling AI just dropped its two point five
Turbo video model, less drift, cleaner frames, better prompt fidelity,
and more stable camera moves. Basically, it's the stop ruining
my tracking shot update.
Speaker 2 (00:32):
Yeah, this is a stability glow up, stronger physics, less jitter,
more consistency across frames. If two point one was the
warm up, two point five Turbo is the cardio day.
Speaker 1 (00:41):
No one skips what's actually new. Four things creators will
feel One motion and camera stability. Those weirdwarps and dynamic
shots are down. Two temporal coherence characters persist over long sequences.
Three prompt and style fidelity, color lighting textures lock in better,
four artifacts, less clean up and post net affect, fewer
(01:03):
do overs, faster.
Speaker 2 (01:04):
Approvals and aspect ratios are covered sixteen nine one nine
nine nine sixteen vertical fam you're good plus thirty fps,
longer clips up to ten ADP on pro tier outputs
not four K yet, So if you're delivering UHD commercials,
bring your upscaler.
Speaker 1 (01:19):
Bestie availability wise, it's live in the Cling app. API
is rolling out in stages. Accounts can request access, then
generate keys and settings once approved. Rate limits and credits
vary by plan and region, so check your dashboard before
you Q one hundred shots.
Speaker 2 (01:34):
Hold up pricing press materials say it's cheaper to run now.
A release yesterday claimed two point five turbo cut costs
nearly thirty percent versus two point one, down to roughly
twenty five credits per five second ten ADP shot from
thirty five. That's from industry press coverage. We'll treat it
as vendor data for now right.
Speaker 1 (01:53):
Those numbers come from Cling's promo channels picked up by
financial news aggregators. Takeaways, more efficient runs, fewer off prompt wastes.
If you're a solo creator that can shave real time, how.
Speaker 2 (02:04):
Much time If your typical clip took say five prompts
and three reruns to land, you might cut that in half,
and if you were doing after the fact cleanup for
flicker or color drift, those minutes add up like twenty
to forty percent. Faster to usable cut depends on your style.
Speaker 1 (02:18):
Who's it four fast turn. Creators and teams add sequences, music, visuals,
branded assets, pre viz social series. Beginners can ride the defaults.
Pros get steadier baselines and better style control. The reliability
jump matters more than flashy features.
Speaker 2 (02:32):
It's very production, brain less chaos, more control. Also, the
physical reasoning is nicer characters actually interact with environments without
turning into spaghetti. That's good for VFX handoffs. Plates don't
fight you as much quick.
Speaker 1 (02:45):
Compared to earlier versions Versus two point one two point five,
Turbo Titan's prompt adherents improves temporal coherence and reduces artifacts. Noticeably,
two point one made strides over two point zero but
still drifted on long shots. This one feels like a
stability pass across the board.
Speaker 2 (03:00):
Okay, competitive t how does this stack up? We've got
open ais sore in the mix. Google's vo lines, Runway
Gen three, Pica Luma, and byte Dance's Chiming for social
workflows Reuter's reported byte Dance launched that text to video
app last year aimed squarely at creators on mobile.
Speaker 3 (03:16):
So this is a sprint.
Speaker 1 (03:17):
Vendor Benchmark's grain of salt claim. Cling two point five
turbo is preferred over some rivals in blind tests, including
vs VO fast variants. Internal tests can be biased, but
the direction of travel is clear. Everyone's racing to be
the reliable daily driver, not just the flashy demo reel.
Speaker 2 (03:34):
And context Quashow, Cling's parent has legit momentum. Their investor
materials this year flagged creator uptake and revenue contribution from
Cling AI.
Speaker 3 (03:43):
That backs up the not just hype narrative.
Speaker 2 (03:45):
Also, platform wars are real byteedance building tools for TikTok pipelines,
Quoashow bundling, creation and distribution. Reuter's coverage called this broader platform.
Speaker 1 (03:54):
Race out, workflow impact. Would I slot this into a
pro stack? Yes. If two point five turbo reduces style,
drift and artifacts, it can replace some patchwork tools, Fewer
stabilization fixes, fewer color regrades, less frame by frame painouts.
You still grade in Resolve or Premiere, do sound and
maybe upscale, but the base is stronger.
Speaker 2 (04:13):
So is it nice to have or must have for
high volume social shops and agencies.
Speaker 3 (04:18):
Leaning must have for hobbyists.
Speaker 2 (04:20):
Still nice to have, but the new prompt fidelity means
you'll waste fewer credits, cheaper experiments, happier wallets.
Speaker 1 (04:26):
Limitations to watch resolution is capped at ten ADP today,
with protier needed for full HD. API access is staged
with rate limits that vary by plan. Guardrails. Expect the
usual safety filters that might block certain prompts. If your
pipeline depends on four K master delivery, you'll need an
upscaler or a hybrid approach.
Speaker 2 (04:44):
Also, if you're in a region with limited API availability,
plan your deadlines accordingly. Don't lock a client date if
your apikey is still pending.
Speaker 1 (04:52):
Use cases TikTok TikToker Batch nine sixteen hooks with tighter
style fidelity, your character's hair color won't morph mid scene.
Pecaster generate visualizers or sceneesetter b roll that actually stays
on brand. Designer iterate brand vignettes with consistent lighting and
texture across shots. Filmmaker previs tricky camera moves with better
physics so the production crew trusts the storyboard.
Speaker 2 (05:14):
And music folks lyric videos with stable typographic motion, not
that wobbly smear. I'd use this for a Doja Cat
style dance cut and trust the camera hold meme caption.
Speaker 3 (05:24):
For this update, Fast and Furious eleven drift.
Speaker 1 (05:27):
Eliminated the multi image reference feature clings Bin touting lately
helps with character consistency too, feeding multiple angles looks so
the model locks onto identity across shots. That's been called
out in their press updates as a way to tackle
video consistency.
Speaker 2 (05:40):
On the developer side, the API docs include text to
video and image to video endpoints, plus best practices for preview.
Veer's final it's a closed ecosystem with an API, not
open source, but enough hooks for studios to automate looks
and batch runs.
Speaker 1 (05:54):
Bigger trend check the markets shifting from wow demos to
dependable outputs. Speed matters, but reliability and cost predictability are
the story. Quaho's own financial notes earlier this year highlighted
Kling's revenue traction signal that enterprises are paying.
Speaker 2 (06:08):
For stability, and Bite Dance's Chi Mang push per Reuter's
shows the social giants want intol creation. You can feel
the gravity, make it where you post it. Kling's edge
is the production lean flavor like we know your producer
is going to nitpick, continuity.
Speaker 1 (06:22):
Benchmarks and third party evals still sparse outside vendor claims.
If you run new Bench or any creator test suites
across Sora, Vo, Runway, Pica, Cling, send us your findings.
We're watching for independent bakeofs.
Speaker 2 (06:34):
Day to day changes for you, Fewer do overs, faster approvals,
cleaner frames, better multishot continuity, the boring stuff that makes
deadlines not scary, honestly, Chef's kiss.
Speaker 1 (06:45):
Practical tips before you try it. Start with shorter previews
to validate style and motion than upscale to ten eightp finals.
Lock your color palette in the prompt. If you're doing
a series, reuse seeds and references to capitalize on that
temporal coherence.
Speaker 2 (06:58):
And don't forget aspect ratios. If the endgame is vertical,
prompt and frame for nine to sixteen from the jump.
Saving a wide screen crop later is not the move.
Speaker 1 (07:06):
What would we use it for? This week? I do
a branded bumper series five second intros with consistent motion,
grammar and color, then pipeline them straight into premiere with
batch renders via API wants our key lands.
Speaker 2 (07:17):
I'm doing a fashion lookbook, real multi image reference to
keep hair and makeup continuity. Then a steady dolly in
with moody lighting. If my earrings teleport, I'm rage quitting,
but two point five Turbo says it's.
Speaker 1 (07:28):
Got me quick reality check. Credits, rate limits and regional
access still govern your throughput plan for that, especially on
client work. And remember four K is not native.
Speaker 2 (07:37):
Yet, but as a baseline upgrade, this slaps. It's not
the fireworks update, it's the fewer reshoots, more story.
Speaker 1 (07:43):
Update sources worth skimming. Reuter's on byte Dance's CHIMANNG launch
and the platform race, Quasho's investor releases showing Kling's traction
and Kling's own two point five Turbo press materials with
cost and benchmark claims. We'll keep watching for third party tests.
Speaker 3 (07:58):
That's the show.
Speaker 2 (07:59):
If our ai edits left a robot hiccup in there,
congrats you met our intern. For more news and hands
on tutorials, hit blue lightningtv dot com. We've also covered
the recent model bumps across Runway and Pica on the
blog good Context.
Speaker 3 (08:12):
If you're shopping.
Speaker 1 (08:12):
Tools, thanks for hanging with us on the Blue Lightning
AI daily podcast, Go Make Something Wild, and on brief
Speaker 3 (08:19):
Catch you next time.