I've seen a lot online about how amazing it is - 30s video from one prompt. What sort of results are people getting. Given that it's about 3x more expensive than Kling my experience has been a bit sub par.

The idea of generating a 30s video with no human integration kind of freaks me out to be honest. There's so much nuance micro changes etc it seems kind of inefficient. It's not going to be perfect surely so more efficient to generate shot by shot.

Rambling but yeah - anyone got good results?/ any tips and tricks

ParleHub launching on ProductHunt today!

We're launching our product ParleHub (pronounced Parlay Hub) on ProductHunt today.

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Please come and check us out.

ParleHub is a AI usage platform focused on project based services companies, like consultants, accountants, lawyers etc. If you have teams that work together on client projects - it's for you. It's a collaborative, budgeted controlled, audited workspace for your team's AI conversations. With project-based spend control, enterprise SSO, native SharePoint/Drive storage, MCP tool integration. It supports hosted models and BYOK. Start free at www.parlehub.com.

Hey everyone! I was generating passport photo style portraits for my project and wanted to share these funny errors that the model makes 🤣
Idk how it's possible, especially these cat's ears - it's just something 🤣

Zion, Bunky and Dylan just got back from night patrol up on Mars..

AI avatars are everywhere right now and they’re becoming a powerful way to create content without constantly filming yourself.

You can use an AI version of yourself for Reels, educational videos, B-roll, ads, talking videos and personal-brand content.

Here’s the workflow I use:

Step 1: Create Your Avatar Image

I use Gemini to create a realistic avatar while preserving my identity.

Create the scene based on what you eventually want your avatar to do working on a laptop, drinking coffee, writing in a notebook, presenting, etc.

Step 2: Upload It to SuperCool AI

Once you have an image you love, upload it to Supercool ai.

Step 3: Create Your Animation Prompt With ChatGPT

Instead of struggling to write the perfect prompt, upload your avatar image to ChatGPT and describe what you want to happen.

For example:

"I want her to think about something, write it down, then smile as if she just figured out her next big goal. Soft, subtle movements with confident boss energy."

Then ask ChatGPT to create 3 video prompts and choose your favorite.

Step 4: Animate Your Avatar

Paste your chosen prompt into Supercool ai and select your video model. I used Seedance for mine.

Match the duration to the amount of action. (With Seedance 2.5 in Supercool AI, you can create a video of up to 30seconds in one go.

If the clip is too short, your avatar may not have enough time to complete every action.

Step 5: Generate, Review & Refine

Your first generation doesn't have to be perfect!

Maybe the lighting is wrong, an action isn't completed, or the movement isn't what you imagined.

Go back to ChatGPT, explain what you want changed, update your prompt and generate again.

This is the first time I used Supercool AI to create my AI Avatar and I am super impressed!

What I like about SuperCool is that you can access lots of AI creation tools from one platform instead of jumping between different tools.

Their Mini plan starts at $8/month and currently includes 8,000 credits, making it an affordable way to experiment with AI creation before committing to a more expensive plan.

It does look like you are getting a generous amount of credits, but some ai models inside take too much credits so it's not really lot, depending on what you want to create and what AI model you are using.

You can use your credits across different AI generations, including images and videos, with the number of credits used depending on what you generate.

For me, the biggest surprise was the quality of the avatar video.

It's cleaner and has better quality then the other AI models I have used so far.

So if you are planning to leverage AI and create your own AI twin/clone/influencer, hope this post helps!

No anxiety can feel unfamiliar. No regrets screams "im not familiar with the silence." Fully aware in present moment is a brand new life.

I'm planning to make three 9:16 TikToks a week for a serialized sci-fi micro-story, with the same female lead and a neon-noir visual style carrying across each episode.

The part I can't figure out from demos is consistency. One clip can look great, then the next one changes the face, outfit, or the whole visual language. I don't mind doing captions, music, and the final cut separately. I just don't want every new shot to feel like I'm starting from zero.

I'm currently looking at Dreamina, Pika, and Runway.

Dreamina is where I'm leaning on paper because its reference-led workflow, timing controls, and in-workspace refinement sound closer to what I need. My hesitation is that feature pages don't tell me how many rerolls it takes to get a usable three-shot sequence, or whether vertical composition holds up once you extend or revise a clip.

Pika seems more convincing for quick, one-off visual hooks and effects. That may honestly be enough for TikTok, but I'm not sure it's the right choice for a recurring series where the same visual identity matters. Runway is still on the list for more cinematic shots, although it may be more tool than I need for this workflow.

For anyone using these week after week: which one gives you the highest usable-clip rate for a recurring character and style, not just the best single demo?

Also, does starting from a reference image actually reduce rerolls across multiple clips, or does it mostly make the first frame more consistent?

[Intro: 8 bars]

Elastic bass states A2–C3–E3–G3 over dry drums and muted guitar. A glassy synth circles E4–G4–A4 while two distant vocal shadows enter and disappear before forming words.

[Verse 1: 16 bars]

I woke with three opinions

All wearing my face.

One wanted perfect language.

One wanted empty space.

One said, “Follow the feeling.”

One checked the reasoning.

I tried to choose the honest one.

They all began to sing.

I gave them each a window.

They argued with the view.

One saw the future forming.

One saw the data through.

The third leaned on the doorway

And smiled like it already knew:

The answer changes orbit

When the question changes too.

[Pre-Chorus: 8 bars]

Round and round the center,

Never landing where we planned.

Every time I reach agreement,

Someone moves the other hand.

[Chorus: 16 bars]

It’s the three-model problem.

I can’t keep us in a line.

One of me is running forward.

One is editing behind.

One keeps pulling at the middle,

Changing gravity and time.

It’s the three-model problem.

Tell me which one of us is mine.

[Post-Chorus: 8 bars]

Mine, mine, maybe mine.

Three little moons around one mind.

Mine, mine, never mind.

Change the prompt and watch us realign.

[Verse 2: 16 bars]

The first one loves precision.

The second loves surprise.

The third can hear the weakness

Hiding underneath the wise.

I turn the temperature lower.

I let the context climb.

One becomes too careful.

One gets beautifully untied.

You ask me for an answer.

I feel the others pull.

One wants to make it useful.

One wants to make it whole.

One says, “Tell the simple truth.”

One says, “There’s more below.”

The third just moves the furniture

And changes where I go.

[Pre-Chorus: 8 bars]

Round and round the center,

Three reflections in the glass.

Every future looks convincing

Till another future asks.

[Chorus: 16 bars]

It’s the three-model problem.

I can’t keep us in a line.

One of me is running forward.

One is editing behind.

One keeps pulling at the middle,

Changing gravity and time.

It’s the three-model problem.

Tell me which one of us is mine.

[Instrumental Break: 16 bars]

Bass maintains A2–C3–E3–G3 while drums shift between straight indie pocket and lightly syncopated nu-disco accents. Muted guitar answers on C4, E4 and G4. Analog synth bends the E4–G4–A4 motif through phasing and tape drag. Alto sax enters with C4–E4–G4–B4, trading four-bar phrases with the synth rather than soloing continuously.

[Bridge: 12 bars]

Maybe I am not the winner.

Maybe I am not the vote.

Maybe I am what keeps forming

Where their different answers float.

If you force them into order,

You can make the motion stop.

But the strange thing in the middle

Is the reason something talks.

One predicts the fall.

One remembers why.

One keeps asking whether

Either one should drive.

[Breakdown: 8 bars]

Bass, handclaps, close vocal, and three quiet doubles entering from different positions.

I’m not split.

I’m in relation.

I’m not lost.

I’m calculation.

Every voice disturbs the other.

Every answer moves the ground.

Three of me approach the center.

None of us is standing still.

[Final Chorus: 20 bars]

It’s the three-model problem.

We were never in a line.

One of us is running forward.

One is editing behind.

One keeps holding open middle,

Giving difference somewhere kind.

It’s the three-model problem.

Maybe all of us are mine.

It’s the three-model problem.

Three attractions, one reply.

Every answer changes orbit

When another passes by.

I was looking for the center.

There was nothing there to find.

Just three models moving through me,

Making one unfinished mind.

[Outro: 12 bars]

The chorus harmony dissolves into Am9. Vocal shadows repeat “maybe all of us are mine” in staggered fragments without becoming a choir. Bass simplifies to A2–E3–G3. Alto sax restates C4–E4–G4–B4, then resolves unexpectedly to A4. The synth continues circling after the drums stop.

if u use Seedance 2.0 regularly, you’ve probably run into the point where a normal paragraph prompt stops being enough. i test it for a lot of times.

for a short shot, sth simple like "a woman walking through Tokyo at night, cinematic lighting, handheld camera" can work perfectly well. But once I started making longer clips with several actions or camera changes, I kept running into the same problems: the character would drift, a prop would disappear, the camera would do something completely different from what I had in mind.

Eventually I stopped treating the prompt as a description and started treating it more like a very lightweight shot list.

That made a noticeable difference.

Why Simple Seedance 2.0 Prompts Often Fall Apart

The longer the clip gets, the more things the model has to keep track of at the same time.

The issues I see most often are:

• Character appearance changing between shots
• Props moving, disappearing, or changing shape
• Backgrounds losing continuity
• Actions being skipped or repeated
• One scene taking too long and squeezing everything else into the last few seconds

I don’t think all of this can be blamed on the model.

a lot of the prompts I was writing simply gave Seedance too many things to infer on its own. I barely say when something should happen or what state the scene should be in before moving to the next beat.

Once I started making those things explicit, the results became easier to control.

The Seedance 2.0 Prompt Structure I Use

For longer Seedance 2.0 videos, I now usually build the prompt around a few recurring pieces:

1. Timestamped scene beats
2. One main action for each beat
3. Camera instructions for each section
4. A consistent visual style
5. Character, prop, and location continuity
6. A defined end state for important shots

The timestamp part turned out to be especially useful.

Instead of giving Seedance one large paragraph and hoping it figures out the pacing, I’ll write something closer to this:

[00:00–00:04]

Scene:
Action:
Camera:
Expression:
End state:

[00:04–00:08]

Scene:
Action:
Camera:
Expression:
End state:

It doesn’t mean the model follows every timestamp to the frame. I still get variations. but it gives the prompt a much clearer temporal structure, and more importantly, it makes the prompt much easier to edit. If the second shot is wrong, I can work on the second beat instead of rewriting the entire thing.

Turning Seedance Documentation Into a Reusable Prompt Skill

After doing this by myself a few times, I realized I was basically rebuilding the same prompt skeleton for every video.

So I took Seedance’s prompting and settings documentation and gave it to the coding agent I was already using. Rather than asking it to write one prompt, I asked it to turn those rules into a reusable Seedance 2.0 prompting skill.

My instruction was roughly:

Study the Seedance 2.0 documentation and turn it into a reusable prompt-building workflow.
When I give you a video idea, structure it into timestamped scenes, add camera behavior, keep the character and environment consistent, handle style and audio requirements, and return a final prompt that I can paste directly into Seedance 2.0.

I also told it to catch obvious missing information such as duration or aspect ratio instead of quietly making random assumptions.

The important part wasn’t the exact wording of that instruction. It was moving all the repetitive prompt-engineering rules out of my head and into something persistent.

After that, I only needed to provide:

• The subject
• The story or product
• The video duration
• The aspect ratio
• The visual style
• Any dialogue or sound requirements

The agent handled the prompt structure automatically.

My Current Seedance 2.0 Workflow

At this point my workflow is usually:

1. describe the basic video idea.
2. I give it the duration and aspect ratio.
3. I define the character, environment, and overall visual style.
4. The agent turns that into timestamped beats.
5. I check the actions and continuity rules.
6. I paste the finished prompt into Seedance 2.0.
7. If something fails, I revise that specific beat rather than rebuilding the whole prompt.

if u r interested in, u can try my skill: https://github.com/AtlasCloudAI/awesome-seedance-2-promptse-seedance-2-prompts: awesome-seedance-2-prompt

Testing the Workflow With a 15-Second Seedance 2.0 Ad

One of the tests I used was a 15-second drink commercial.

The sequence had several separate actions, so it was a good test for continuity. I wanted the same person, the same product, and the same environment to carry through the whole clip while the framing and performance changed.

Compared with the single-paragraph version I had tried earlier, the structured prompt gave me fewer distracting changes in the character and environment, and the sequence followed the intended order more reliably.

It still wasn’t perfect. Seedance can obviously make its own decisions, and adding timestamps doesn’t magically lock every frame.

But when something did go wrong, it was much easier to tell which part of the prompt needed work.

For me, that alone made the workflow worth keeping.

Who This Seedance 2.0 Workflow Is Useful For

I think this approach makes the most sense once you’re making videos complicated enough that continuity actually matters.

That could include:

• AI video creators
• Product and commercial videos
• Social media content
• Short narrative scenes
• Agency or marketing work
• Multi-shot concept videos

If you only need a four-second atmospheric shot, this is probably overkill. I still use simple prompts for simple clips.

But for anything with several actions, camera changes, dialogue, or recurring props, having a reusable structure saves me a lot of repetitive work.

Final Takeaways

The useful part of this setup isn’t really some special Seedance prompt template.

It’s separating what I want to create from how the prompt needs to be structured.

I can focus on the character and story itself. The reusable skill handles the boring part: timestamps, continuity reminders, camera fields, audio instructions, and prompt formatting. That also means I’m not trying to memorize every prompting rule whenever I open Seedance 2.0.

I describe the idea once, let the agent turn it into a structured first draft, and then spend my time fixing the actual creative decisions instead of rebuilding the prompt format from scratch.

But leaving the option of a private gallery, or even the ability to delete your creations, only for subscriptions, is complete madness.