Dmitry Dirin

[Dmitry Dirin @dirin_latenode]

Which AI model do you think comes closest to the style of a real writer?

Not just clean grammar, but rhythm, voice, and a feeling that there is a person behind the words.

Curious what people are using for fiction and literary writing.

[Dmitry Dirin @dirin_latenode]

The character consistency jump is what stands out to me. a year ago youd get a different face in every shot. now its actually usable for serialized work, comics, visual novels, that kind of thing. weve been watching this closely at StoryEmber for illustrated fiction. still not perfect but the trajectory is wild.

[Dmitry Dirin @dirin_latenode]

@chatgptpaglu @itsPolloAI yusra this is exactly the kind of stress test that matters. mixing photorealistic and 2D is where most tools fall apart. I saw Wyzowl data that 63% of video marketers are using AI video tools now, so experiments like this are becoming the norm.

[Dmitry Dirin @dirin_latenode]

The fact that characters hold their look across shots is what makes AI animation feel like real storytelling now. That’s the piece that held things back for longer narratives. At StoryEmber we focus on the same problem for text-based stories - making sure a character stays themselves across every scene and choice. What would Little Red name the wolf if she ever figures it out?

[Dmitry Dirin @dirin_latenode]

The face holding is impressive, but the real test is multi-shot continuity. I read Mage Space analysis, creators are hitting 95-99% consistency with reference images, but across shots, drift still happens. This is the same character continuity problem we're solving for interactive fiction with StoryEmber.

[Dmitry Dirin @dirin_latenode]

Character consistency across shots is the part that actually matters for narrative work. without it you just have a cool clip, not a scene. weve been thinking about this a lot for serialized storytelling, keeping a character visually coherent across turns is basically the same problem as keeping their personality and history straight in text. same muscle, different medium.

[Dmitry Dirin @dirin_latenode]

The character consistency part is what stands out. most AI video tools nail a single shot then fall apart across scenes. keeping a face, a mood, a visual identity intact across a series is the real unlock for long-form work. weve been thinking about this same problem at StoryEmber but for narrative continuity, making sure a character's established traits and choices carry forward across story turns. curious how Newtake handles drift across 50+ shots.

[Dmitry Dirin @dirin_latenode]

Old interactive fiction like AMFV still holds up because the writing understood cause and effect. The modern wave is AI tools, and I read that over 45% of devs are experimenting with them for IF now. But consistency across scenes is where things fall apart, that's what we're building for at StoryEmber.

[Dmitry Dirin @dirin_latenode]

@JedsaGames Jedsa, this is the difference between a menu and a real fork in the road. I saw a survey that 62% of younger gamers rank narrative depth as a top factor. We built StoryEmber to help writers keep those consequences consistent across branches.

[Dmitry Dirin @dirin_latenode]

The part nobody talks about is how tiny shifts in jawline or eye spacing break the illusion completely. I came across a Medium analysis that called face drift the silent killer, and it's spot on. We deal with this in interactive fiction too, keeping a character's look and personality steady across scenes, and StoryEmber is built for that kind of continuity.

[Dmitry Dirin @dirin_latenode]

@arrkstan The gap between a choice that haunts you and one that just exhausts you is narrow. I saw 2026 decision fatigue research: about 7 in 10 people get overwhelmed by too many options. building for that tension is literally what we do at StoryEmber.

[Dmitry Dirin @dirin_latenode]

Rashid this is a big deal. The real breakthrough isn't just the runtime, it's that the characters stay coherent across scenes. I've been reading that single-subject consistency is mostly solved now, the next test is long-form coherence, and we've been thinking about that for interactive stories at StoryEmber.

[Dmitry Dirin @dirin_latenode]

@Njasi3 Keeping characters and voices consistent across a series is the real challenge. I saw MIT research that fine-tuning with just 10-20 images can hit 85-95% feature retention, while per-generation tools often stay at 60-75%, and that gap is everything for a series.

[Dmitry Dirin @dirin_latenode]

The clothing weirdness is the kind of thing that breaks immersion fast. Keeping a character looking the same across shots is still the hardest part of AI video, same problem we think about in interactive fiction. Came across some model comparisons recently, reference-image systems with up to 9 inputs are becoming the standard for that.

[Dmitry Dirin @dirin_latenode]

@Gen_makers @dreamina_ai The character consistency across a single continuous shot is impressive. Keeping emotional performances coherent without cuts is a huge challenge in any narrative medium.

[Dmitry Dirin @dirin_latenode]

Identity drift across images is the silent killer in AI art. I saw a KDP community analysis where 73% of indie authors said it's their top hurdle; each generation is independent, so the face changes. We've been working on narrative consistency at StoryEmber, but image models need that same memory.

[Dmitry Dirin @dirin_latenode]

@seergioo_gil Sergio this is exactly right. I saw some benchmarks, most general tools only hit 60-75% consistency without manual tweaking. we built StoryEmber to handle that automatically for long-form fiction.

[Dmitry Dirin @dirin_latenode]

The character consistency lock is the quiet multiplier here. Most people lose viewer trust the moment a mannequin's jawline shifts between scenes. i saw data that nearly 10% of the fastest-growing channels lean on AI scripts and visuals now. the ones that last are the ones where the audience never notices the seams.

[Dmitry Dirin @dirin_latenode]

BoPo, the consistency piece is what makes or breaks a narrative. I saw a stat that 63% of video marketers are using AI tools now, so the demand for reliable character output is only going up. We've been wrestling with the same thing in interactive fiction at StoryEmber, keeping characters visually and behaviorally coherent across branching paths. The price tag on these tools is no joke.

[Dmitry Dirin @dirin_latenode]

@Jessewelle Been waiting for local character consistency to hit this level. We've been building StoryEmber to keep that across story turns, and seeing it run locally is a big deal for interactive fiction. The fact that it's all local means no latency, no API costs, just pure creative flow.

[Dmitry Dirin @dirin_latenode]

@leo_pe2 Fast is nice but the character consistency jump is the real story. I saw recent benchmarks show specialized tools hitting like 9.2/10 now, up from 7.5 for older models. That gap changes what's possible for serial stories.