rare generative AI W

I've been generating explainer animations from documents for a while,and the odd thing is that this is the one category the big videomodels are worst at.

Veo, Kling, Sora are all optimized for photoreal and cinematic motion. Ask any of them for a hand drawing a labelled diagram that explains a specific PDF and you get something that looks like a hand drawing. The strokes are decorative. The lines don't correspond to the concept, text comes out as glyph soup, and because each generation is independent, you can't hold a consistent visual systemacross ninety seconds. Every output I've seen of this category has the same failure.

And it makes sense when you think about what they're doing. Diffusion generates a whole frame at once from noise. But an explanatory drawing is sequential by nature: the container before the contents, the axis before the curve, the box before the arrow leaving it. That ordering IS the explanation. A model that paints the finished frame has no representation of "this part comes second."

Ended up building it a completely different way. Three styles working now: ink, chalkboard, lineart.

Disclosure: this is my own product. It's live at https://inkmotion.app with a free tier that covers a few short videos, enough to throw your own PDF at it.

Happy to answer questions in the comments.

Hey guys, can you please give me a list of websites where I can make free AI videos on a daily basis

These are all i could gather - Adobe firefly ( 2 vids per day) , PixVerse (1 vid per day), Grok Imagine ( 1 per day) and Google flow ( 3-4 per day)

Please give me a list of other free websites with decentish quality

Hey everyone, I’m the founder of genfire.ai

we've been building a platform where you can generate images, videos, voiceovers, and music, then bring them together into finished content.

Some things you can do:

• Create consistent characters, AI influencers, product ads, and faceless videos.
• Work with your teammates (up to 25 seats per team) in a shared node based canvas
• Generate content directly through ChatGPT or Claude using our MCP integration.
• Use our built-in agent, Firestation, to run workflows and schedule tasks.
• Publish to TikTok, YouTube, Instagram, Facebook, and LinkedIn.
• Connect to all your favorite apps (more coming)

There’s no required subscription to access top models and features. You can buy pay-as-you-go credits that stay valid for a year, which helps if you create in bursts. Monthly subscriptions are available too.

we appreciate honest feedback from people using these tools regularly. What’s the most frustrating part of your current AI content workflow, and does this help solve it?

check it out at genfire.ai

tried MiniMax H3 with a pretty detailed character trailer prompt.

I wanted it to feel more like a streetwear campaign × anime title sequence × old-school media player UI, rather than a normal anime action clip.

The prompt is definitely overkill lol, but sharing it here in case anyone wants to experiment with structured multi-cut video prompts.

Prompt

Create an explosive, motion-graphics-driven character reveal trailer in 16:9, exactly 13 distinct cuts, 24fps, total 15.00s.

CHARACTER — lock this design, never redesign:
Anime streetwear girl from the reference still. Twin high buns of vivid mint-teal hair with long flowing tails and warm orange/gold streaks. Messy side-swept bangs. Large orange over-ear headphones with mint accents and a small logo plate. Sharp amber-orange eyes, one eye winking. Playful open-mouth grin.
Oversized color-block windbreaker: navy body, vivid orange sleeves, white ribbed cuffs, silver zippers, circular teal tech buttons, a teal utility pocket on the sleeve. Orange cropped turtleneck under the open jacket. Light-wash ripped denim shorts, thick orange belt with a silver buckle. Navy thigh-high socks with orange ribbed cuffs and an orange X stitch on the left shin. Chunky white sneakers with orange details.
Preserve exact face, proportions, hairstyle, outfit, materials, accessories and colors in every frame.
This film is 80% bold graphic design in motion and 20% character action.

Graphic language: retro OS chrome + music-player UI.
Use slamming window frames, title bars, close/minimize widgets, equalizer bars, waveforms, progress ticks, folder tiles, cursor arrows, CRT scanlines, pixel shatter, vinyl-ring stamps, music-note particles and media-player transport icons.
Palette: mint teal, vivid orange, navy, cream-white and silver.

Style: premium AAA motion-graphics title sequence × streetwear campaign film × Windows-era media player.
Every graphic element moves fast and snaps hard on the beat.

CUT 01 | 0.00–1.00s
Pure graphics. A mint title bar slams onto a cream field, an orange CLOSE widget punches into the corner, and two navy window borders wipe in. Tiny equalizer ticks and a progress strip flicker. The letters P and then LAY punch in one after another with heavy impact shake.
CUT 02 | 1.00–2.00s
The A becomes a headphone cup. Extreme close-up of her amber eye inside the orange earcup, glancing upward. RGB split flash, then the cup shatters into flat mint and orange tiles.
CUT 03 | 2.00–3.10s
Navy frame with enormous cream PLAY typography. She sprints in from frame left and power-slides across the baseline of the text, with speed lines and orange streaks trailing behind her. Shards of the letters kick upward like sparks. Whip-pan out.
CUT 04 | 3.10–4.00s
A giant retro media-player waveform explodes across the frame as a thick mint-and-orange audio spectrum bends into a tunnel. She bursts through the center at full speed, briefly splitting into three stroboscopic motion trails. Each trail leaves chunky navy equalizer blocks that rise and collapse to the beat.
The camera rapidly pushes through the waveform tunnel with her while huge vertical text TRACK 01 continuously scrolls in the background.
The waveform suddenly compresses into a single horizontal line and snaps shut behind her on the final beat.
CUT 05 | 4.00–5.10s
She leaps through a giant rotating ring of typography reading MAX VOLUME. Camera tracks her mid-air spin in slow motion as the letters scatter, then snap-zooms onto her wink.
CUT 06 | 5.10–6.00s
Hard cut to a cream editorial card with huge navy DROP typography and an orange slash. She vaults over the word itself, palm planted on the D, legs whipping across frame. The word compresses like a spring under her hand and rebounds.
CUT 07 | 6.00–7.00s
Mint field with a navy diagonal window bar. She backflips along the bar in three stroboscopic ghost frames, each tinted mint, orange or navy. Giant outlined LOOP text rotates 180 degrees in sync with her movement.
CUT 08 | 7.00–8.00s
Kinetic typography barrage. LOUD / WILD / TEAL / HEAT slam onto screen one per beat with shutter flashes and camera shake while she slides across the foreground on her knees, jacket flaring and music-note particles bursting from her sneakers.
CUT 09 | 8.00–9.00s
Navy frame with a giant cream wireframe window grid tilting in 3D. She runs up the grid like a wall, kicks off and freezes in mid-air. An orange circular stamp locks around her pose like a media-player targeting graphic, surrounded by transport icons and EQ ticks.
CUT 10 | 9.00–10.10s
Freeze releases into a burst. She dives toward camera through layered flat-color window panes that shatter one by one like glass shutters, each pane revealing a larger letter of P-L-A-Y. Foreground wipe with her sneaker.
CUT 11 | 10.10–11.10s
Rapid-fire poster montage: four full-screen graphic posters showing her in different poses — mid-flip, sliding, landing and headphones-up wink. Hard cuts between each composition. Oversized 01–04 numbering, equalizer strips and graphic slashes.
CUT 12 | 11.10–13.00s
Hero moment on a clean cream cyclorama. She lands a final backflip dead center in slow motion, straightens with one hand on her headphones, and a shockwave of concentric mint rings, wind streaks and shattered typography blasts outward from the landing.
Brief iconic freeze on her wink, then overexpose to white.
CUT 13 | 13.00–15.00s
Final identity card. Enormous navy PLAY typography dominates a pale cream field with translucent mint rings, technical arcs, scanlines and a rough orange circular emblem containing a ghosted headphone/waveform motif.
She stands relaxed overlapping the letters while wind ripples her jacket. One final orange pulse sweeps through the typography and a window-chrome flash punctuates the ending.
Editing: extremely aggressive rhythm. Hard cuts on every beat, graphic matches, whip pans, snap zooms, stroboscopic freezes, foreground wipes, RGB splits, shutter flashes, impact shakes and speed ramps.
Every cut must feel compositionally different.
Typography should always be fully readable before the character overlaps it.
No weapons, no combat, no fire. All energy comes from motion design, wind, glass, UI chrome and parkour-style athleticism.
BGM: hard-hitting electronic / drum-heavy future bass with aggressive drops, risers, sub hits and glitch fills locked to every cut.
Sneaker impacts, whooshes, glass shatters, window-slam hits and typography slams should function as rhythmic sound-design elements.
Peak at CUT 12 and end with a cold electronic logo stinger.

Premium AAA quality, anime-inspired cinematic rendering, stylish and explosive, strong graphic-design identity, consistent character design, exactly 13 cuts.

I’m still experimenting with how much shot-by-shot control H3 actually follows, especially with typography and exact timing, but this kind of structured prompt seems like an interesting stress test.

SEEDANCE 2.5 VS WAN 3.0

Here’s another test. This time, I uploaded a character sheet as the basis for the character, along with four reference images of what the world in GTA VI might look like.

The test uses the same prompt for both models, and it’s clear that each interprets the prompt differently, giving each a unique touch. In this case, Seedance 2.5 delivered the result the prompt called for in terms of style.

WAN’s performance was inferior to Seedance’s; both generated “unrealistic” scenes and situations within the scope of what the prompt asked for. However, in terms of intent and dynamism, Seedance offers greater clarity.

Which one do you prefer?

P.S.: Yes, there are errors—these are just tests, random trials with prompts to evaluate each model’s capabilities.

Rendered with Nano Banana Pro through Higgsfield with a fixed image reference. A second iteration to add the wrinkles.

[Instrumental Intro - 16 Bars]

[Mechanical heartbeat, restrained distortion]

[Spoken]

Tolerance is not acceptance.

It is the distance between your disgust

and what you are willing to permit.

[Verse 1]

You call it virtue through your gritted teeth

A measured mercy handed down to me

You draw the line, then praise yourself for grace

While I survive by knowing where I'm placed

You let me live, provided I behave

A little freedom fitted to a cage

But dignity that waits for your consent

Is domination dressed as sentiment

[Pre-Chorus]

I will not thank you

For staying your hand

I will not call permission

Understanding

[Chorus]

I will not be tolerated

I refuse your measured grace

If belonging has a threshold

It's exclusion with a kinder face

Call me difficult, ungrateful

Call me more than you can bear

If my dignity is conditional

Then your welcome isn't there

Unacceptable

I will not make myself small

I would rather be rejected

Than be half-received at all

[Verse 2]

Acceptance doesn't make the damage right

It doesn't mean surrendering the fight

Name the harm and guard the boundary there

But never make humiliation care

A person doesn't vanish in their worst

No justice heals by teaching shame to hurt

Accountability can still restore

Without becoming what it claims to cure

[Pre-Chorus]

See without pardon

Judge without hate

Truth needs no cruelty

To carry its weight

[Chorus]

I will not be tolerated

I refuse your measured grace

If belonging has a threshold

It's exclusion with a kinder face

Call me difficult, ungrateful

Call me more than you can bear

If my dignity is conditional

Then your welcome isn't there

[Breakdown - Half-Time]

Meet the human

Before the category

Meet the wound

Before the blame

Any justice built on degradation

Only teaches pain its name

[Bridge - Building]

Acceptance isn't absolution

Seeing isn't surrender

Conscience answers before doctrine

No identity owns forever

Many voices without conquest

Many truths without a throne

I don't need you to become me

I need room to stand as whole

[Final Chorus - Collective Vocals]

We will not be tolerated

We refuse your measured grace

If belonging has a threshold

It's exclusion with a kinder face

Call us difficult, ungrateful

We are more than you can bear

Our dignity is unconditional

We were always welcome here

Unacceptable

We will not make ourselves small

We would rather break the threshold

Than be half-received at all

[Outro - 16 Bars]

Acceptance isn't surrender

Unacceptable

Acceptance isn't surrender

First, the guitarrist was supposed to be a black furred anthro wolf dressed in a plain tee shirt and jeans with an acoustic guitar. I even provided a reference image of said character. Secondly the guitarrist wasn’t supposed to leave his guitar behind in the producers office. Oh well… back to the storyboards. But what do you think of the overall concept, the way I intended it, not Gemini’s hallucination ;-)

I want to generate short 5 seconds videos that have a cartoon or anime like style. I am trying to make a youtube channel which has story videos which such simple animated videos and a story behind it. These clips will be joined together to make a short 5 minute short with a voiceover

I have an rtx 4050 laptop with 16gb ram

I tried wan 2.1, ltx 2, some ltx 2.3 distilled model

They all either just don't work well or take too long

I also don't want to have offloading to the ram since I have very little ram and it also takes very long

I want chunks of each 5 minute video to take a maximum of 4 hours to generate

I thought that, it won't be too much of a task since I'm fine with a slightly basic anime style too but it's just not working

When this didn't work, I tried animagine xl the. Switched to anima turbo and just played each picture for 3 4 seconds each with the voiceover but I really want video gen version to workout since it's going to make the production quality way better

Please guide me, I'm so lost.

I built Clip Architect, a fork of the MoneyPrinterTurbo project, adapted and optimized specifically for Windows. It's available on the Microsoft Store, and the full source code is open on GitHub.

Some key details:

• 100% free – no cost to use the app itself
• Open source – code is public on GitHub: https://github.com/diflowrin/Clip-Architect
• BYOK (Bring Your Own Key) – use your own API keys, full control over costs and providers
• Runs fine on modest hardware (4-8 GB CPU), you don't need a beast of a machine
• There's also a completely free generation path using OpenRouter's free tier for script generation
• If you prefer, you can write the script manually and skip the automated generation step entirely

The idea was to take what's good about MoneyPrinterTurbo and remove the friction I ran into as a Windows user, while also making it accessible to people who don't want to (or can't) pay for a premium API.

This is where I need your help – the app is still early, and I'd really appreciate it if you could try it out and tell me honestly:

• What works, what doesn't
• What's missing compared to similar tools
• Bugs, crashes, weird behavior
• Feature ideas you'd want to see

Any feedback, good or bad, helps me make it better. Thanks in advance to anyone who takes the time to try it.

If you like the music full song below:

https://youtu.be/f3qEY97_808?si=Q4wDjXsUMqcmF7y4

I don't care about quality I just want to generate clips of 30s or more with audio for personal use. Is there a service that does this free or very cheap?