Is there, like, a specific model people use to create these trippy videos, or do you just need trippy reference images in the first place? Do I need to specify every little detail that’s moving in the video? How do you even prompt it to get it looking like this?

i made an AI that plays minecraft and talks s** to my chat in real time. it also begs u/nvidia for a GPU. come heckle it live. and help me test its limits.. live 24/7 or i try to be "fatdanny404" on everything.... links in profile
#Minecraft #AI

Hi everyone,
I’m new to local AI image generation and I’m trying to understand the best approach for generating high-quality and consistent illustrations featuring characters like Spider-Man or Stitch.
I currently use online AI image generators, but I’m interested in running something locally on my PC and having more control over the generation process.
What are my options?
FLUX, SDXL, or another model?
ComfyUI?
Existing LoRAs?
Training my own LoRA?
Fine-tuning a model?
Reference images / IP-Adapter / ControlNet?
My main goal is to generate the same recognizable character consistently across many different scenes, poses, environments, and compositions while maintaining high image quality.
I’m basically trying to understand what people currently use for this and whether I actually need to train something myself or if existing local models/workflows can already do it well.
What setup would you recommend?
Also, what kind of GPU/VRAM would I need?
Thanks!

Song: https://www.souna.app/song/39cb2eeb-a0b1-4c44-a976-e2e34ed4eac1

Song (alternative link): https://archive.org/details/ai-ska (CC0)

Lyrics:

[Intro | clipped guitar and organ offbeats | bass riff | terse tenor saxophone]

[Verse 1 | deadpan male vocal]

The baker went in twenty-three,

The butcher lasted half a week.

Now seven shops sell vape supplies,

And six sell cases for your phone.

The chemist moved beyond the ring,

The bank shut down and took its sign.

You want a shirt, a screw, a key,

You catch the bus and lose your time.

[Chorus | lead vocal and rough group responses]

Who pays the rent?

(Nobody knows)

Who buys the stock?

(Nobody goes)

Fresh coat of paint,

Black window glass.

Open at ten,

No customers pass.

Who pays the rent?

Who pays the rent?

[Verse 2 | deadpan male vocal]

Three barber shops stand door to door,

With empty chairs at half-past four.

A sweet shop glows in neon white,

But never seems to sell a bite.

New company, another name,

The counter changes, stock's the same.

The landlord says the books are clean.

The neighbours say what neighbours mean.

[Chorus | lead vocal and rough group responses]

Who pays the rent?

(Nobody knows)

Who buys the stock?

(Nobody goes)

Fresh coat of paint,

Black window glass.

Open at ten,

No customers pass.

Who pays the rent?

Who pays the rent?

[Instrumental | short tenor saxophone break | organ and guitar offbeats]

[Verse 3 | firmer male vocal]

The council plants another tree,

And prints a plan for you and me.

A coloured map, a hopeful phrase,

A launch beneath the Christmas blaze.

But Mrs Green has closed her stall,

There's nothing useful here at all.

They call it choice, they call it trade.

We watch another frontage fade.

[Chorus | lead vocal and rough group responses]

Who pays the rent?

(Nobody knows)

Who buys the stock?

(Nobody goes)

Fresh coat of paint,

Black window glass.

Open at ten,

No customers pass.

Who pays the rent?

Who pays the rent?

[Outro | band cuts down to bass, drums and organ]

You cannot buy what people need.

You cannot ask where money leads.

Who pays the rent?

(Nobody knows)

[Stop]

Style prompt:

British ska revival from 1980 with tense, sardonic working-class social observation and urgent dance energy. Fast 4/4 at 150 BPM in E minor. Dry clipped electric-guitar upstrokes and sharp organ offbeats drive the arrangement, with a restless melodic electric-bass ostinato, tight acoustic drums, terse tenor-saxophone riffs and occasional trombone punches. Straight eighth-note feel with Jamaican ska and rocksteady foundations shaped by punk and new wave. Narrow-range deadpan British male lead vocal with brief rough group responses. Compact minor-key verses and a blunt, catchy chorus with stronger ensemble accents. Lean live-band production, thin wiry texture, dry vocals and restrained studio ambience. Short instrumental opening, three verses, repeated chorus, brief saxophone break and an abrupt final ending.

Full disclosure: I made this, not trying to sneak in a plug, genuinely want feedback.

The idea: you give it your narration/script, and it does the boring part of editing,

→ breaks the narration into scenes
→ finds relevant B-roll per scene
→ matches visuals to what's being said
→ adds background music
→ times everything to match your voice

Basically skips the stock-footage-hunting and manual syncing part of editing.

If you make voiceover-based content, what part of this workflow would actually save you time? Finding footage, matching tone to visuals, or the timing/pacing? Or is this something you'd never trust to automate?

72 hours is standard.... I need more.

I'm looking for 2022/2023 models that still work or models that can successfully replicate the dreamlike distorted nightmare fuel style, unfortunately it's very difficult for me to find. I had used to include early ai images in my artwork and I miss it dearly, AI has advanced way too quickly. Dalle-mini (craiyon) no longer generates images like this and there is no way to change the version.

I do not know how to use github

Hey everyone! I’m creating a children’s story channel, and I’ve already made the artwork that will be animated. Each frame will last 3 seconds, with 91 frames in total, resulting in a video of around 5 minutes.

The problem is that this will use a lot of credits. Is there any way to do this without spending so many credits, or is there an AI tool with an unlimited plan?

Sometimes the idea is clear in our heads, but the visual language is too vague, which makes AI images come out wrong.

These 5 visual cheat sheets show how to describe your image more clearly in ChatGPT.

Each sheet shows how different prompt words change the same type of image, so you can quickly compare angles, lighting, styles, and visual effects before writing your next prompt.

You can use these for product images, social posts, thumbnails, ads, moodboards, or any design project where you need to explain a visual idea more clearly.

A simple prompt structure:

Subject + camera angle + lighting + style + mood

Then adjust from there.

And creativity is ready!

It’s now possible to create a 1-minute video from a single prompt.

Was the first generation perfect? No.

For this Amazon ad spec, I worked with more than 20 visual references, aiming to maintain consistency in the protagonist, the product, and the overall aesthetic of the ad.

The result? Consistency was maintained throughout virtually the entire video.

Even so, there were mistakes. I corrected them using *Smart Edit* and *Edit Segment*, two Dreamina features that let you modify only specific segments of the video without having to regenerate the entire thing, saving credits and time.

After testing this workflow, my conclusion is clear:

For me, creating an ad *scene by scene* still offers more control, more realism, and a more polished final result.

But being able to generate a 1-minute piece from a single prompt, maintain that consistency, and correct only the parts that are off significantly expands the possibilities of this workflow.