DEV Community: Alex ProAi

How to Create a Social Media Profile Picture with GPT Image 2 and Nano Banana Pro: 5 Powerful Prompts

Alex ProAi — Tue, 02 Jun 2026 06:39:27 +0000

Use one of the five prompts below to create a realistic, high-quality profile picture for your social media with impressive lighting effects.

Before generating the avatar, create a photo collage of yourself using the prompt below:

Create a collage showing the appearance of a man from different angles and at different shot sizes. Preserve the facial features and do not change anything.

Prompt 1.

Medium bust portrait, slight three-quarter angle, subject facing slightly to the right and gazing upward and to the left with a relaxed, confident expression. Wearing a white puffer/down quilted jacket with a high collar. Reflective mirrored aviator-style sunglasses. Background is a vibrant dual-tone neon gradient — warm orange/amber on the left side transitioning to cool teal/cyan on the right side, creating a bold color-split atmosphere. The neon colors from the background bleed onto the jacket and face, producing a strong bi-color lighting effect: warm orange light on one side, cool teal light on the other. High-fashion editorial portrait with strong neon color grading. Shot with an ~85mm portrait lens, shallow depth of field, subject sharply in focus against the colorful gradient. Use the exact physical characteristics of the person in the reference image provided — do not alter any facial features, skin tone, body type, or any physical trait.

Prompt 2.

Medium bust portrait, slight frontal to three-quarter angle, subject looking directly into the camera with a calm, intense expression. Wearing a plain black crew-neck t-shirt. Background is a deep crimson/dark red. A large perfect circular neon ring light is positioned directly behind the subject's head, glowing warm white/golden-yellow, creating a dramatic halo/crown-of-light effect centered on the composition. The ring light casts a warm golden rim glow around the edges of the shoulders and head. Overall lighting is moody and dramatic, with the face softly lit from the front against the glowing ring and dark red background. Slightly low camera angle, looking slightly upward at the subject. Cinematic, atmospheric portrait. Shot with an ~85mm lens, shallow depth of field. Use the exact physical characteristics of the person in the reference image provided — do not alter any facial features, skin tone, body type, or any physical trait.

Prompt 3.

Medium bust portrait, straight-on frontal angle, subject staring directly into the camera with a serious, intense expression. Wearing a plain white crew-neck t-shirt and a thin delicate silver chain necklace. Background is very dark, nearly black. Dramatic split neon lighting: strong red/magenta light hitting the left side of the face and body, and a cooler teal/blue light on the right side, creating a vivid bi-color split-light effect across the face, neck, and shirt. The contrast between the two neon tones is sharp and defined, producing a bold editorial look. Dark moody atmosphere with no background detail visible. Cinematic color-graded portrait. Shot with a ~50mm to 85mm lens, shallow depth of field, subject in sharp focus. Use the exact physical characteristics of the person in the reference image provided — do not alter any facial features, skin tone, body type, or any physical trait.

Prompt 4.

Medium bust portrait, slight upward angle looking up at the subject, who gazes upward with eyes directed up and slightly to the right, with a serene, ethereal expression. Wearing a plain black crew-neck t-shirt. Background is very dark with a deep green atmospheric haze/smoke filling the environment. A large perfect circular neon ring glowing in vivid lime/electric green is positioned directly behind the subject's head, centered on the composition, creating a powerful glowing halo effect. The green neon light floods the entire scene, casting a strong green color cast over the face, shoulders, and surrounding smoke. The overall mood is mysterious, otherworldly, and cinematic. Shot with an ~85mm portrait lens, shallow depth of field, subject sharply in focus against the glowing green atmosphere. Use the exact physical characteristics of the person in the reference image provided — do not alter any facial features, skin tone, body type, or any physical trait.

Prompt 5.

Medium bust portrait, straight-on frontal angle, subject staring directly into the camera with a serious, intense expression. Wearing a plain white pullover hoodie. Background is very dark/charcoal with a moody atmospheric quality. Two large angular neon geometric shapes frame the subject symmetrically on each side — a bright pink/magenta neon angular chevron/arrow shape on the left and a cyan/blue neon angular shape on the right. The neon shapes glow vividly against the dark background and cast subtle colored light onto the sides of the subject. The overall composition is strongly symmetrical with the subject centered between the two neon elements. Cinematic, dramatic, music artist portrait style. Shot with a ~50mm lens, moderate depth of field. Use the exact physical characteristics of the person in the reference image provided — do not alter any facial features, skin tone, body type, or any physical trait.

Want to use 90+ AI tools with one subscription and get credits for your first free generations in GPT Image 2 and Nano Banana Pro?

Go to the Syntx AI aggregator or their Telegram bot.** You’ll receive free tokens for your first generations and will be able to use 90+ AI tools with a single subscription, all in one place.
**

How to Create AI Videos in Seedance 2 with Your Own or Someone Else’s Appearance: A Simple Workflow for Realistic Face Consistency

Alex ProAi — Fri, 29 May 2026 09:41:26 +0000

AI video generation is getting better incredibly fast. Just a year or two ago, creating a realistic video with the same character from one scene to another was a real headache. The face would change, the hairstyle would shift, the body type could suddenly look different, and the final result often felt unstable.

Today, tools like Seedance 2 make it much easier to generate cinematic AI videos with realistic people, smooth motion, and consistent character appearance. But there is still one common problem many users run into: generating videos with a real-looking face and keeping that face stable throughout the whole clip.

If you’ve tried to create AI videos using your own appearance, a model, an actor, a brand character, or another real person’s look, you probably know what I’m talking about. Some AI video generators limit the use of realistic faces, while others struggle to preserve identity from frame to frame.

In this article, I’ll show you a practical workflow for creating AI videos in Seedance 2 using a clear visual reference, while keeping the character’s appearance consistent across the video.

Why AI Video Generators Struggle with Real Faces
Before we get into the workflow, it’s useful to understand why this happens.

AI video models don’t “remember” a person the way humans do. When you upload one photo, the model tries to understand the face, hairstyle, proportions, skin tone, facial expression, and overall style from that single image. But one photo is often not enough.

For example, a front-facing portrait doesn’t show the side profile. A close-up doesn’t explain body proportions. A photo with sunglasses may hide important facial details. And if the lighting is too dramatic, the AI may misunderstand the actual face shape.

That’s why the result can become inconsistent. In one frame, the character may look accurate. In the next one, the nose, eyes, jawline, or hairstyle may slightly change. In longer AI videos, these small changes become even more noticeable.

The best way to improve face consistency is to give the AI a stronger visual reference.

Step 1: Create a Face Reference Collage

The first thing you need is a high-quality reference collage. This collage should include several images of the person or character from different angles and distances.

You can create this collage in Nano Banana Pro or GPT Image 2. The idea is simple: instead of giving Seedance 2 just one photo, you give it one image that contains multiple views of the same person.

I recommend using 3–5 photos as source references. Try to choose images that show the person clearly:

front view;
side profile;
three-quarter angle;
close-up portrait;
medium or full-body shot if needed.
The more useful visual information you provide, the easier it is for the AI to understand and preserve the person’s appearance.

*Here is the prompt you can use to generate the collage:
*
Create a collage with photos of this person from different angles, distances, and perspectives, showing them from every possible side. Keep all appearance details in the same style without any changes. All frames should preserve the same consistent look of the person.

Once the collage is ready, save the image. This will become your main reference file for AI video generation.

Why a Collage Works Better Than a Single Photo
A collage gives the AI model more context. Instead of guessing how the person looks from different angles, the model can “see” several versions of the same face in one reference image.

*This helps with:
*

keeping the same facial features;
preserving hairstyle and face shape;
improving character consistency;
reducing random changes between frames;
generating more realistic close-ups;
making the video look more natural.

If you want to create AI videos with a stable character identity, this step is extremely important. A good reference collage can make the difference between a random-looking AI clip and a polished cinematic video.

Step 2: Open Seedance 2 Through Syntx AI

For generating videos, I use the Syntx AI aggregator. It’s convenient because it includes more than 90 AI models for different creative tasks: image generation, text generation, video generation, audio tools, and more.

The main advantage is that you don’t need to buy separate subscriptions for every AI model. Everything is available in one place under one subscription. This is especially useful if you work with different formats and don’t want to jump between many platforms.

Inside Syntx AI, you can access Seedance 2.0, which is one of the tools used for generating realistic AI videos.

Seedance 2 is especially useful if your goal is to create videos with:

realistic people;
cinematic scenes;
consistent characters;
smooth movement;
dynamic camera angles;
detailed environments;
natural facial expressions.

Step 3: Upload Your Collage as a Reference

After you open Seedance 2 in Syntx AI, upload the collage you created earlier. This collage will work as the visual identity reference for the character.

When writing your prompt, mention the reference using @. This tells the model that the character in the video should follow the appearance from the uploaded image.

For example, your prompt may start like this:

Create a cinematic video of @reference walking through a modern city street at night...

Then continue describing the scene, action, lighting, camera movement, mood, and style.

Step 4: Write a Strong Prompt for Better Results
A good prompt is just as important as a good reference image. If your prompt is too short, the result may be random. If your prompt is detailed and clear, Seedance 2 has a much better chance of giving you the video you want.

Try to include:

who the character is;
what the character is doing;
where the scene takes place;
what the lighting looks like;
what camera movement you want;
what mood or style the video should have;
what details must stay consistent.
Here is an example prompt:

Create a realistic cinematic video of @reference walking confidently through a neon-lit city street at night. Keep the same face, hairstyle, facial proportions, skin tone, and overall appearance as in the reference collage. The character is wearing a stylish black jacket, looking calm and focused. Smooth camera movement, shallow depth of field, realistic street lights, detailed background, natural facial expression, high-quality movie-style color grading.

This kind of prompt gives the AI much more direction than simply writing “make a video of this person walking.”

Step 5: Keep the Appearance Consistent from Frame to Frame
One of the biggest goals in AI video generation is face consistency. You don’t want the character to look like one person at the beginning of the clip and someone else at the end.

To improve consistency, use phrases like:

keep the same face throughout the video;
preserve the facial features from the reference;
maintain the same hairstyle and proportions;
consistent identity in every frame;
no face changes between shots;
same character appearance from start to finish.

These details help the model understand that identity preservation is a priority.

Example Seedance 2 Prompt for Realistic AI Video
Here’s another ready-to-use prompt:

Generate a cinematic AI video featuring @reference sitting in a cozy coffee shop near a large window during golden hour. The person keeps the same facial features, hairstyle, face shape, skin tone, and overall appearance as shown in the reference collage. Soft warm sunlight enters through the window, creating a natural glow on the face. The camera slowly moves closer, capturing a calm and thoughtful expression. Realistic background, smooth motion, natural lighting, shallow depth of field, high-detail skin texture, cinematic atmosphere.

You can adapt this prompt to almost any scene: city streets, luxury interiors, office spaces, fantasy environments, music videos, product ads, social media clips, and more.

Where This Workflow Can Be Useful

This method is useful for many types of AI video projects, including:

personal AI avatars;
influencer-style content;
brand ambassadors;
fictional characters;
short cinematic clips;
music videos;
advertising creatives;
social media videos;
storytelling projects;
character-based content series.

If you are building a recurring AI character, having a stable reference collage is especially helpful. You can use the same collage across multiple prompts and generate different videos while keeping the character recognizable.

Try Syntx AI for Seedance 2 Video Generation

If you want to create AI videos with realistic appearance and consistent characters, Syntx AI is a good place to try this workflow. It gives access to Seedance 2.0 and many other AI models for images, text, video, and audio.

You can use it on the website or through the Telegram bot. After registration, new users get free tokens, so you can test the platform and generate your first AI videos without starting from scratch.

With the right reference collage, a detailed prompt, and Seedance 2, you can create realistic AI videos where the character’s appearance stays consistent from frame to frame.

Higgsfield reviews: why creators leave it and what to use instead

Alex ProAi — Tue, 26 May 2026 07:49:11 +0000

A couple of months ago I started seeing the same thing in private AI creator chats: people who were hyped about Higgsfield suddenly began asking where to move next. And yeah, Higgsfield reviews used to look pretty sweet. Kazakh startup, loud growth, “AI unicorn” energy, lots of creative tools in one place. I get why people paid attention.

I looked at Higgsfield myself when I was choosing an AI aggregator for daily work. At that point I was already testing image models, video generators, text models, voice tools, all that stuff. I needed one place where I could jump between models without buying five separate subscriptions and praying that every payment would go through.

That is actually how I ended up using Syntx AI more often. It is still a relatively new AI aggregator on the international scene, but you can already see bigger AI bloggers and creators talking about it, because the setup is simple: web version plus Telegram bot, 90+ AI models, one subscription, fewer payment headaches. Not perfect, nothing is. But for my work it feels cleaner and cheaper than juggling a pile of separate tools.

So, what is going on with Higgsfield? Why are some creators leaving it? And what is a sane Higgsfield alternative if you still need access to popular AI tools without overpaying?

I will go through it as a user, not as some corporate analyst in a jacket. I do not own Higgsfield. I do not hate them either. I just watch what creators complain about, test services with my own money, and make conclusions from real work.

*Why Higgsfield reviews changed so fast
*
The funny part is that Higgsfield had a good start in terms of attention. Many users liked the idea: one platform for AI generation, templates for visual content, fast access to trendy tools, a creator-friendly interface. On paper, nice.

But creator tools live or die by one boring thing: stability.

If you make AI videos for fun once a week, waiting is annoying. If you make content for clients, waiting becomes expensive. There is a big difference. I have had clients asking for 20 video concepts, product visuals for ads, short clips for social media, and sometimes all of that needs to be done before dinner because “the launch is tomorrow”. You know how it goes.

This is where some Higgsfield reviews started getting rough. People were writing about slow generations, jobs stuck for ages, unclear limits, support replies that felt too late, and pricing logic that changed in a way users did not expect. Again, I am not saying every user has the same experience. Some people still like the service. Fair enough.

But when you see the same complaints every week from people who actually generate content for clients, you stop treating it as random noise.

I had a similar lesson with subscriptions before. When I moved from traffic arbitrage into AI content, I bought several tools at once: Midjourney, Runway, ChatGPT Plus, Suno, and one more I barely opened after the first day. Great move, Alex. Genius. In reality I used two of them, maybe two and a half if I count one panic generation at midnight. That month taught me that separate subscriptions look professional until you open your bank app.

That is why aggregators became popular. People want ChatGPT, Claude, Gemini, Midjourney-style tools, Kling, Veo, Suno, image editors, video models, and other AI services in one place. The problem starts when the aggregator itself becomes messy.

The main complaints about Higgsfield

The first complaint I hear is speed. Slow AI generation hurts more than people think. If a platform promises a creator-friendly setup, the whole point is to cut friction. When a generation sits there for 40 minutes, then fails, then asks you to try again, your mood drops fast.

Especially with video. Video AI already eats tokens like a hungry dog. My dog Poli once ate a USB drive with prompt backups, by the way. Different kind of pain, but still. When a video tool burns your credits and gives you nothing useful, it feels personal.

The second complaint is unclear rules. This one is worse than slow speed, honestly. If you buy a plan expecting certain limits, then the plan changes, people get angry. Not because they hate paying. Creators pay for tools all the time. They get angry when they feel the deal moved after payment.

The third issue is price. Higgsfield pricing has been one of the big discussion points in creator chats. Some users feel they pay too much for credits, subscriptions, or extra generations. If you are already making money from AI content, maybe you can swallow it. If you are just learning AI tools, testing image generators, trying video models, or making your first client project, every extra payment stings.

*And here comes the uncomfortable question: if you need many AI models, why pay more than needed?
*
That is where Syntx AI keeps coming up for me. The web version and Telegram bot give access to 90+ neural networks in one place, including tools for text, images, video, music, coding, and voice. It is still newer internationally than some loud platforms, but the product is getting attention because it solves a boring, practical problem: one account, one balance, many models. Also, the prices feel more grounded. You can use the web version when you sit at a laptop, or open the Telegram bot when you are on the go. I use both depending on the day.

Higgsfield alternative: what creators actually need

When people search for a Higgsfield alternative, they usually do not want another shiny dashboard. They want fewer surprises.

A normal AI aggregator should give you access to popular models without forcing you to register everywhere. It should show where your credits go. It should work from a browser and from mobile without making you feel like you are solving a puzzle. And if support is needed, it should not feel like shouting into a well.

For me, the web version of Syntx AI and the Telegram bot Syntx AI cover that better. I can test Gemini for text, Claude for code logic, Nano Banana Pro for images, Kling or Seedance for video, and then jump to other models without opening five different tabs. Well, I still open too many tabs. That is my personal disease. But at least the AI tools are in one place.

Another thing I like: Syntx AI uses a token model. You spend tokens on the task you need instead of buying a separate plan for every model. For beginners, this is huge. You can try models, compare output, see what fits your work, and then decide where to spend more. No need to go full casino mode on subscriptions.

There are also free tokens for new users, which is handy if you only want to test the service first. You can open the Syntx AI web version or use the Telegram bot Syntx AI, grab the starter tokens, and run a couple of real prompts. Not “make me a cute cat” prompts. Real ones. Product image, ad visual, short video idea, text rewrite, code snippet. That is how you understand if a tool fits you.

Is Higgsfield bad, or just not for everyone?

I would not say Higgsfield is useless. That would be lazy. Some creators like its visual tools, some enjoy ready-made templates, some use it for quick social content. If it works for your exact process, cool.

But bad Higgsfield reviews usually point to the same pain: creators expected a reliable central hub, then got friction. Waiting. Confusing limits. Pricing questions. Support delays. Stuff like that.

And with AI tools, friction kills momentum. You sit down to create, you have a good prompt, the client is waiting, coffee is still hot, and then the system stalls. After the second or third time, you start looking around.

This is why AI aggregators are becoming a separate category. People are tired of buying one plan for images, another plan for video, another plan for text, then finding out that one of them needs a foreign card or VPN. I am from Krasnodar, I have clients in different niches, and I do not want my workday to depend on whether some payment page feels like accepting my card today.

Syntx AI is interesting because it came into this space with a practical angle. It is newer on the global market, yes. But top AI creators are already mentioning it, and that usually happens when a tool removes some everyday pain. The web version is useful when you want a normal desktop workspace. The Telegram bot is great when you want to generate something quickly, check a model, or send a prompt while sitting somewhere with your phone.

I have used AI tools from a laptop in a cafe, from my phone in the car while waiting for my wife, and once from the kitchen while my daughter was trying to “help” me press random keys. So yeah, having both web and Telegram access matters more than it sounds.

Pricing, limits, and why cheap is not always cheap

There is one trap with AI services: people compare only the monthly price. That is not enough.

You need to look at how many generations you get, how often jobs fail, whether credits disappear after errors, how many useful models are inside, and whether you need extra paid tools anyway. A cheap plan that forces you to buy two more subscriptions is not cheap. It is just annoying in installments.

Higgsfield pricing may work for some professional creators. If your whole process is built around their tools and the outputs are good enough, no drama. But if you need broad access to different AI models, Syntx AI often feels more logical. One subscription, 90+ models, access through the web version and the Telegram bot, plus free tokens when you start.

And yes, “cheaper” does not mean “worse” here. Sometimes it means the service does not make you pay for every tool separately. That is the whole point of an aggregator.

I also like that Syntx AI includes models across different tasks. Text models like ChatGPT and Gemini, coding help with Claude, visual tools like GPT Image 2 and Nano Banana Pro, video models like Kling and Seedance, music tools like Suno. The exact model list can change, so check inside the web version or Telegram bot before planning a big project. I learned that the hard way once when I wrote prompts for one video model and launched generation in another. Lost about 3k on that mistake. Painful, but educational.

What to check before leaving Higgsfield

If you are thinking about moving from Higgsfield, do not switch blindly. Test like a normal person.

Take 5 tasks from your real work. Not abstract prompts. Real work. A product card, an ad concept, a short video prompt, a text rewrite, maybe a logo variation if you do that. Run the same tasks through Higgsfield and then through another AI aggregator.

For Syntx AI, I would test both formats. Use the web version for longer prompts and comparing outputs. Use the Telegram bot for quick generations and mobile checks. This shows you how the service behaves in your actual day, not in a pretty review video.

Watch four things:

How fast the result appears
How many outputs are usable
How clear the token spend feels
How easy it is to repeat the same task tomorrow

That last point is underrated. A tool can impress you once and still be painful for daily work. I have seen it so many times. One viral demo, then real projects expose all the cracks.

Also check support and community. Syntx AI has been building a pretty active user base, and that helps when you are learning models or trying to understand why a prompt failed. Higgsfield has its own audience too, but the recent complaints show that expectations and reality are not always aligned.

Higgsfield reviews and the bigger AI aggregator problem

The whole Higgsfield story is bigger than one service. It shows what users now expect from AI platforms.

People no longer get excited just because a service has “many AI tools”. Everyone says that now. The question is whether those tools are usable when you are tired, busy, and on a deadline.

Creators want predictable credits. They want access to strong models without separate accounts. They want browser work and mobile work. They want video generation that does not randomly eat the evening. They want image tools that do not require a ritual dance around prompts.

That is why Syntx AI is getting more attention. It is relatively new outside its first markets, but the combination of web version plus Telegram bot makes sense. International users are slowly noticing it because it is easier to explain: open Syntx AI in the browser or use the Telegram bot Syntx AI, choose a model, spend tokens, get the result. No need to pretend this is some mystical AI temple. It is a tool.

And honestly, that is what I want from AI services now. Less drama. More output.

So, should you still use Higgsfield?

If Higgsfield works for you, keep using it. Seriously. I am not here to tell you to burn your account and run into the sunset.

But if you are reading Higgsfield reviews because you already feel something is off, then you probably need to test alternatives. Maybe the pricing annoys you. Maybe the limits feel unclear. Maybe the generation speed is not stable enough for client work. Maybe you just want one place where ChatGPT, Claude, Gemini, Nano Banana Pro, Kling, Seedance, Veo, Suno, and other tools sit together without separate payments.

In that case, Syntx AI is worth checking. Use the web version if you like working from a desktop. Use the Telegram bot if you want quick access from your phone. New users get free tokens, so you can test the service without turning it into a financial decision.

My personal take: Higgsfield had a strong hype wave, but hype is easy. Daily creator work is harder. Syntx AI feels more practical for the way I use AI now, especially because it is cheaper for broad testing and more convenient with both web access and Telegram bot access.

If you are looking for a Higgsfield alternative, start there. Run your own prompts. Compare the results. Your tasks will tell you more than any review, including mine.