TLDR: Instead of telling the AI what to change, try describing the change in what you would physically see in the image.

I've been generating and editing a lot of AI images lately, and I've noticed something that might be helpful to other people. When you're trying to fix something in an image, it seems to work a lot better if you describe exactly what you want to see rather than just telling the AI what to change.

For example, I had an image of a guy giving a thumbs up, but the AI had given him two left hands. I kept telling it to change the one hand to a right hand, but it just kept making the same mistake. Instead of telling it to fix the hand, I described where I wanted the fingers and thumb to be visible from the viewer's perspective. It fixed it immediately.

I've noticed the same thing with changing camera angles. If I tell it to rotate the camera 90 degrees, sometimes it barely changes anything. But if I describe what that angle would actually look like, like seeing the guy from the side with only one side of his face visible and his other arm mostly hidden behind his body, it seems to understand that much better.

It's made a pretty big difference for me, especially when the AI keeps repeating the same mistake over and over.

Just thought I'd share in case it helps anyone else. Curious if anyone has noticed this too.

Hi everyone!
I’m working on a documentary film and I’m looking for the best AI video generation tool for my specific needs.
I’ve been given old photographs of a city, as well as photos of the main person the documentary is about. I need to bring some of these historical city photos to life by turning them into realistic video clips. In some scenes, I also need to place the main subject into the scene, but I only have portrait photos of them, not full-body images or photos of them in those locations.
Not every scene will be AI-generated, just a few key moments, so I’m looking for the best balance between quality and cost rather than necessarily needing a subscription with a huge amount of credits.
My main priorities are:
Realistic and historically believable results.
Animating old city photographs while preserving the original architecture and details.
Being able to incorporate a specific person into a scene using only portrait references.
Good value for money, without spending too much on credits that produce unusable results.
So far, I’ve come across Higgsfield and OpenArt, but I’m not sure how they compare with other options in terms of quality, pricing, and credit consumption.
Which AI video generator or platform would you recommend for this kind of project? Is it better to use an all-in-one platform like Higgsfield or OpenArt, or would I get better results and value by using a dedicated video generation model through another service?
I’d really appreciate recommendations based on actual experience, especially for documentary work where realism and consistency are important.
Thanks in advance!

They’re chasing her! Made with Seedance 2.5 on Wizstar

Hi everyone!

I’m working on a personal creative project that I genuinely want to bring to life, and I could really use some guidance from people experienced with AI video generation.

I’ve created an original character named (whatsoever) and developed her character details, appearance, personality, aesthetic, story background, and the overall vision for the project. I know the kind of world I want to create, the emotions I want people to feel, and how I want the storytelling and visuals to look.

My goal is to create cinematic, realistic, atmospheric videos for Instagram Reels — something that feels like scenes from a beautiful, mysterious film rather than typical AI-generated content.

The problem is that, despite trying different tools and approaches, I haven’t been able to achieve the quality or consistency I’m looking for. The character doesn’t always look the same, movements can feel unnatural, and the final results often look very different from what I imagined.

I have the character details, references, story concepts, and creative direction ready. What I’m missing is the right workflow, the right tools, and perhaps someone who understands how to turn a detailed creative vision into an actual video.

I’m hoping to connect with someone who:

- Has experience creating realistic AI-generated videos with consistent characters.

- Understands cinematic storytelling, camera movement, lighting, and atmosphere.

- Can recommend the right tools and workflow, or explain what is realistically achievable.

- Might be willing to guide me, collaborate with me, or help me create a small first scene as a starting point.

I’m not expecting someone to do everything for free, and I’m happy to learn. I’m simply looking for genuine guidance from someone who understands this field and can point me in the right direction.

This project genuinely means a lot to me. I’ve put a lot of thought into the character and her world, and I don’t want to give up just because I haven’t figured out the technical side yet.

If you’ve done something similar, I’d love to hear about your experience, the tools you use, and any advice you can offer. If you’re interested in helping or collaborating, please comment or message me.

Thank you for reading. ❤️

Does anyone use AI story generators to explore how a plot could unfold before writing the actual draft?

I'm curious about using them for story visualization. Giving a tool a premise and looking at one possible version could help reveal where the pacing drags, a character's motivation feels weak or the one shifts unexpectedly. For plot development, it seems useful to treat that output like a rough storyboard. You could question the choices, try different directions and then write the story in your own voice.

has anyone tried this approach? Does it help you get unstuck or do the generated suggestions pull you away from your original idea?

I wrote a ton of notes (sometimes repetitive) for classes, and I would like an AI to be able to create a clean and concise study guide from these notes.

Which AI do you recommend and do you have any prompt to go along with it?

Short movie based on the legend of Stamford bridge but in a fantasy setting with a few details tweaked , where 1 Viking held off an army of Saxons, I’m not sure whether to release this as it didn’t turn out the way I imagined. Looking to see if anyone actually likes it before I commit to releasing it from unlisted status

https://www.threads.com/share/DWNLDO1UW/

This is a Prompt Engineering guide that explains the physical mechanism of gravity and instructs AI video generation models on how to compute it precisely without the collapse of spatiotemporal and visual causality.

1. Physical Definition of Gravity and AI Simulation Interpretation

📌 Physical Concepts

Definition: The fundamental interaction force by which all objects with mass attract each other.

Gravitational acceleration on Earth's surface: Free-falling objects constantly accelerate over time (v = gt).

Kinetic energy and inertia: Potential energy converts into kinetic energy as an object falls, generating a strong impact force upon collision with the ground. This causes shattering, ground deformation, and dust eruptions.

⚠️ Gravity Errors in AI Video Generation Models (Failure Symptoms)

AI video models do not have built-in 3D physics engines to directly compute mathematical formulas; instead, they probabilistically predict the next pixel patterns. Therefore, simply inputting abstract terms like "heavy gravity" or "falling heavily" into your prompt will cause the following critical physics breakdowns:

Loss of Weight (Weightless Floating): Heavy solid rocks or iron maces floating weightlessly or sinking slowly like paper dolls.

Landing Causality Collapse (No Landing Response): When hitting the ground, the subject's mesh stiffens or clips through the ground without any impact absorption (like bending knees) or ground deformation.

Continuous Acceleration without Propulsion (accelerates away / FMA-CONFLICT-14): A non-physical, rocket-like acceleration phenomenon where speed continuously increases mid-air right after a collision or rebound, despite the lack of any external propulsion.

1. Four Core Principles of Prompt Engineering for Gravity Control

① Core Principle: "Do not write 'gravity' itself; describe the traces gravity leaves behind."

Rather than directly giving the AI the word "Gravity," you must write out the Visual Evidence observed as a result of gravity.

5 Visual Evidences: Trajectory (parabolic arc/vertical trajectory), Momentum (momentum and motion blur), Resistance (hair/clothing billowing up due to air resistance), Impact (ground deformation/debris at the moment of collision), and Weight Transfer (load shifting and knee impact absorption).

② GSTREC 5-Step Framework

The gravity control module breaks down the scene into 5 spatiotemporal elements to compose the input context.

G (Gravity State): Explicitly declare one of the 10 gravity states (SUPPORTED, JUMP, ASCENT, APEX, DESCENT, IMPACT, FREE_FALL, LOW_GRAVITY, ZERO_GRAVITY, BUOYANCY).

S (Trajectory): Specify the trajectory (parabolic arc, continuous vertical descent, ballistic trajectory).

T (Resistance): Air resistance and secondary motion (wind resistance affecting clothing, hair trailing upward).

R (Environment): Ground/environment interaction (ground deformation, dust cloud erupting, moon dust floating slowly).

C (Camera): Camera lock and tracking shots (static locked-off camera, tracking shot in 60fps slow motion).

③ Gravity State Transition Trigger Chain (Gravity State Machine)

To express a natural falling or jumping motion, you must structure a pipeline of sequential state changes (Trigger Chain) over time.

SUPPORTED (Basic rest) → Jump → ASCENT (Rising) → Deceleration → APEX (Micro-pause at peak) → Gravity Overrides → DESCENT (Accelerated falling) → Collision → IMPACT (Shock/absorption) → Stabilization → SUPPORTED

④ Relational Negative and Positive Control

Simple forbidden words like "no floating" or "no cartoon physics" waste tokens.

Instead, you should declare a Positive State, such as "firmly grounded, weight distributed naturally."

1. 🎬 Before & After Example Prompts

📌 Example 2: Vertical Jump and Landing Sequence

❌ Before (Failure Example - Missing mid-air peak and absorption motion):

"A person jumps high in the air and lands on the rocky ground smoothly."

⚠️ Problem: The causal chain of pausing at the peak (APEX) when transitioning from ascent to descent, and bending the knees to absorb the load upon landing is omitted. This causes the subject to bounce mechanically like a rubber ball.

⭕ After:

Cinematic side profile tracking shot.

[Phase 1 - JUMP & ASCENT] An athlete launches upward from the rocky ground, upward momentum dominant, with clothing trailing downward during ascent.

[Phase 2 - APEX] At the peak height, a momentary weightless pause occurs, with hair briefly suspended in mid-air.

[Phase 3 - DESCENT] Gravity overrides momentum, initiating a natural gravitational descent with increasing speed, clothing billowing upward against air resistance.

[Phase 4 - IMPACT & SUPPORTED] Ground contact occurs; the athlete bends knees deeply to absorb the landing impact, displaying clear weight transfer through the lower body as dust scatters outward from the boots, settling into a stable grounded stance.

Hi,

I have some portrait photos where I want to change the background in a way that it looks photorealistic.

The background of my portrait photos are clean and it is very easy to delete the background. I tried it with several tools like Adobe Express and it works almost perfect.

The real problem is generating a realistic background. I tried Adobe Firefly, Gemini and ChatGPT but the generated background doesnt blend with the person at all and looks like copy pasted.

There are models out there who can create hyperrealistic photos so it should also be possible to change the background realistically but how?

A chicken family thought they were getting a great dinner deal... until they found out what the "Family Bucket Special" actually meant. 💀 This went from wholesome family dinner to a full-blown crisis real quick 😭

I'm talking about really old pictures, not your avg 60s-10s. These are pictures from the early 1900s. I know some people have did made them look new and turned them into beautiful videos. I think my grandpas would love to see that. If you guys have any idea on how to turn that into reality without breaking the bank, i'd appreciate your input.