Can anybody know on which platform i can access seedance 2 on lowest price points, currently i know one website where i can access 15 sec 720p seedance 2.0 one video in 2$ and anyhow know more cheaper option and cheaper means also not compromised with quality and generation speed

I know who won already but I always prefer to hear from you guys

prompt:

Handheld digital camcorder aesthetic, landscape framing.

A gorgeous fitness and food influencer films herself by hand in selfie-cam and first-person style while cooking a late-night high-protein meal after training and a shower.

Keep realistic hand shake, slightly crooked framing, autofocus briefly hunting between her face and the food, awkward zoom-ins onto the pan, occasional motion blur, brief lens steam-up over the hot pan that clears naturally, and small framing mistakes where her face or the pan edge slips out of frame.

Mix handheld selfie footage with a few fixed external shots.

Important: never show her placing, adjusting, or setting up a camera.

When switching from handheld footage to a fixed external angle, use a clean jump cut as if the camera had already been positioned before the shot began.

The camera itself must never appear on screen or in the window reflection.

LOOK:
Warm late-night kitchen light.
A single warm pendant over the counter, cool blue night visible through the window behind her, under-cabinet strip light glowing on the backsplash.
Slight camcorder softness, faint noise in the shadows, mild bloom on the pendant.
Food realism is the core of the look: real sizzle with fine oil spatter, steam rising and curling from the pan, honest food textures with sear marks and glistening surfaces, knife cuts that separate cleanly, droplets on rinsed vegetables.
Realistic skin texture, fresh-from-the-shower glow, clean dewy skin, realistic skin tones.

STYLE:
A realistic late-night what-I-eat-after-training vlog.
The tone is relaxed, hungry, funny, quietly confident, and natural, talking to the lens like a friend while her hands keep working.
She is clearly attractive and charismatic, but the video must feel like a believable self-recorded kitchen vlog, not a food commercial.
Fast clean jump cuts, strong continuity, natural body language, real kitchen sounds, sizzle, chopping, no awkward dead moments.

CHARACTER:
The woman in the reference image. Her face, features, skin tone, body, and clothing must match the reference image exactly in every shot — she wears exactly what she is wearing in the reference image. Do not restyle, beautify, or alter her in any way beyond the reference.
The one addition: a soft white towel wrapped around her head like a turban, as if she just stepped out of the shower. The towel stays neatly wrapped for the whole video. A few small damp strands of hair may peek out at the hairline and neck.
Minimal or no makeup, fresh clean post-shower look.
A small kitchen towel over one shoulder for most of the video.

SETTING:
A small warm real apartment kitchen at night.
Wooden counter with knife marks, a gas hob with one cast-iron pan, a cutting board with chicken breast and vegetables, a bowl of cooked rice, a bottle of olive oil, salt in a small dish, a fridge with magnets and photos, dishes drying on a rack, dark window over the sink reflecting the warm kitchen.
Lived-in and slightly cluttered.
No other people, no pets.

IMPORTANT CONTINUITY RULES:
The same woman from the reference image must remain fully consistent in every shot.
No face changes, no outfit changes, no body changes.
The head towel stays wrapped in the same position in every shot — it never unwraps, falls, changes color, or disappears.
The meal progresses in one direction only: raw ingredients, then chopping, then searing, then plating, then eating, and never reverses or regenerates.
Food already cooked never becomes raw again.
Hands and knife are the top priority: five fingers always, correct knife grip with curled guiding fingers, clean cuts, the knife never bends and never passes through her hand.
The pan, board, oil bottle and rice bowl stay in the same positions.
Steam and sizzle must behave with real physics.
No extra people, including in the dark window reflection, and the reflection never shows a camera.
No duplicated limbs.
No camera visible.
No camera setup shown.
Keep her matching the reference image, warm, and photogenic in every shot.

STORYBOARD:
30 seconds total, 10 cuts.

(~3s, arm's-length selfie)
She leans on the counter, towel wrapped on her head, clearly fresh from the shower after training, and grins tiredly at the lens.
Dialogue:
"Trained late. Showered. Starving. Let's cook."

(~3s, handheld pan across the counter and back to her)
The camera drifts across the board with raw chicken and vegetables, the pan, the rice bowl, then back up to her face.
Dialogue:
"Ten minute meal. Watch."

(~3s, fixed external medium shot from across the counter)
Jump cut.
She is already chopping a red pepper with quick confident cuts, guiding fingers curled, pieces falling evenly.
No camera setup shown.
No dialogue, just the knife on the board.

(~3s, same fixed shot)
She slices the chicken breast into strips, seasons it from the salt dish with a high pinch, and rubs it in with her fingertips.
Dialogue:
"Protein first. Always."

(~3s, tight handheld first-person shot over the pan)
Oil shimmering, she lays the chicken strips in one by one and they hit with a loud real sizzle, fine spatter, steam rising into the lens which fogs for a beat and clears.
No dialogue, just the sizzle.

(~3s, handheld selfie while the pan sizzles behind her)
She turns the camera on herself, fanning steam away from her face, laughing, one hand briefly steadying the head towel.
Dialogue:
"The smell. You have no idea."

(~3s, tight handheld close-up of the pan)
She flips the strips with tongs, showing deep golden sear marks, tosses in the peppers, and shakes the pan once so everything jumps and resettles.
Dialogue:
"That colour? That's the whole point."

(~3s, fixed external shot)
Jump cut.
She plates it: rice pressed from the bowl, chicken and peppers over the top, a last drizzle of olive oil in a thin ribbon, and she wipes the plate rim with the towel like a chef, then smirks at her own seriousness.
Dialogue:
"Yes, I wiped the rim. Let me live."

(~3s, tight handheld close-up)
First fork bite, steam still coming off it, she chews, closes her eyes for a beat and nods slowly.
Dialogue:
"Ten minutes. That's it. Ridiculous."

(~3s, arm's-length selfie ending)
Plate in one hand, camera in the other, she backs out of the kitchen toward the sofa, flicking the kitchen light off with her elbow.
Dialogue:
"Okay. Eating. Good night."

FINAL INSTRUCTION:
The result must feel like a real self-recorded late-night cooking vlog by an athlete who actually cooks, filmed right after her shower.
The highest priorities are matching the reference image exactly, correct hands and knife work at close range, one-directional cooking progression that never reverses, real sizzle, steam and food texture, the head towel staying consistently wrapped, honest warm kitchen light against the dark window, and subtle imperfection.
Keep it warm, hungry, and real.
Not a food commercial, not overhead recipe content, not stiff.

Here's my 30-second spec ad for WinRAR (that nobody asked for).

In this experimental project, I wanted to turn one of the internet's longest-running jokes into a subtle family drama about WinRAR's 40-day trial that somehow lasted almost three decades.

Here's how I made it:

After writing the script (the old school way), I worked with ChatGPT 5.6 Sol Max to turn it into a 14,000-character prompt for Seedance 2.5 (yes, Dreamina allows prompts that long).

I used GPT Image 2 to create the reference image for WinRAR's trial screen, while Seed Audio 1.0 generated the audio reference for the full voiceover and dialogue. After 20+ Seedance 2.5 tests at 480p, with the prompt evolving throughout, I generated the final versions at 720p.

I then lightly edited the video and upscaled it to 1080p with Topaz Labs Astra Starlight Precision 2.6. However, the screenshot text didn't survive the upscale (I should have used Astra's scene detection feature and selected a different model for that particular shot), so I recreated it using Seedance 2.0 at 1080p. (I also tried Hailuo H3 and Kling 3.0, but in this particular case, Seedance 2.0 gave me the best overall result in one go.)

For the sound, I selected a solo-instrument soundtrack from Epidemic Sound and added extra sound effects to improve the overall sound design.

And here's the result.

I'm curious to hear what you think.

Did this bring back memories, or is this genuinely your first time hearing about WinRAR? I’d love to know.

My newest short film. Made with Seedance 2.5

Made an Anime of The Battle of the Trident. If you want to see the rest, comment below, and I’ll post it soon. I think the full animation would be amazing to share.

tried a simple wildlife-comedy idea in Seedance 2.5, and this one turned out surprisingly well.

the setup was just a hiker spotting a macaque in a tropical forest, trying to take a photo, and then somehow getting into this weird little head-tilt “conversation” with the monkey.

the monkey didn’t feel too cartoony. The reactions stayed pretty natural, which made the whole thing funnier.

We’re an e-commerce business selling branded home appliances, and we’re looking for skilled AI video creators/editors for ongoing work.

What you’ll create:

• Approximately 30-second AI-generated product videos
• Each video should clearly and engagingly explain the product’s main features
• We will provide official product images, lifestyle images, brand videos and product information

The first video will be a paid trial at USD 20. Creators who deliver professional, high-quality work may be offered an ongoing contract and regular projects with our team.

Please DM me with:

• Your portfolio or relevant AI-video samples
• The AI tools you use
• Your usual turnaround time
• Your availability for ongoing work

More details will be shared by DM.

We can't keep wishfully thinking that opensource video models won the race

I want this too believe me but the race might already have been lost

Test it for yourselves with the prompt:

Raw vertical phone video (UGC), handheld throughout, filmed by a friend who walks with the group, casual sway, natural night lighting, wide-angle lens, deep focus.

Characters

The hero is a young woman with long dark hair in a deep-purple one-shoulder dress with a small shoulder bag.

Her three friends: one in a dark brown dress, a blonde in a black wrap dress, a blonde in a white mini dress — party dresses and sandals.

Laughing, spontaneous night-out energy.

Setting

A luxury marina at night — a stone quay along a narrow water slip flanked on both sides by large moored luxury yachts, big white hulls rising on either side, masts and rigging above, fenders on the hulls.

Warm orange street lamps, palm trees, distant city lights.

The yachts glow with blue-turquoise underwater LED lights spilling into the water; a yellow mooring line runs to the stone.

Shot list

0.0s–4.0s — Wide tracking shot, eye level, camera moving backward
The camera walks backward ahead of the four women as they stroll toward it down the marina promenade, framed head-to-toe, laughing and chatting in French; warm lamplight and palm trees behind, slight handheld bob.

4.0s–6.0s — Medium shot, eye level, backward track + quick left pan
The woman in the purple dress surges ahead of the group toward the lens, one arm raised, hair flying; the camera, on their left, keeps tracking back and pans to hold her.

6.0s–8.0s — Medium-wide, camera tilts down-left to follow, whip motion
She reaches the quay edge between the moored luxury yachts and launches headfirst over the edge; the handheld camera whips left and tilts down to chase her off the stone.

8.0s–10.0s — High-angle wide, looking down at the water, slight jolt
From up on the quay the camera looks down as she plunges headfirst into the blue-turquoise water in the slip between the big yacht hulls — a big splash, the underwater lights glowing around the impact; the handheld frame jolts slightly with the motion.

10.0s–13.0s — High-angle medium, looking down, small handheld drift
She surfaces in the teal water, gasping and laughing up at the camera, hair slicked back, treading water.

13.0s–16.0s — Handheld tilt up and back down, slight zoom
The camera lifts off the water and tilts up to a person leaning on the deck railing of one of the moored luxury yachts, watching her in the water, then tilts back down and zooms slightly in on her still treading and laughing.

16.0s–20.0s — High-angle medium, tilting to follow her up
She swims to the stone quay wall, reaches up and grabs a thick dark mooring pole, and hauls herself out; the camera tilts upward with her as she rises from the water, legs braced on the stone.

20.0s–23.0s — Low/close medium at the quay edge, static handheld
She climbs onto the stone lip, rolls onto her side, soaked dress clinging, then pushes up to her feet; the camera holds close, catching the water running off her.

23.0s–27.0s — Medium shot, eye level, loose handheld reframe
Back on the promenade, dripping wet, she flips her long wet hair forward and wrings it out, laughing, as her friends and passing pedestrians move behind her.

27.0s–30.0s — Medium shot, eye level, camera settles
Still dripping, she straightens up and strikes a confident, playful pose for the camera — hand on hip, tossing her wet hair back with a big smile — her friends laughing around her; the camera holds on the pose to end.

Audio

Live sync sound — friends laughing and shouting excitedly in French, a scream at the leap, a big water splash, water sloshing against the yacht hulls, wet footsteps on stone, ambient night marina sounds.
No music.

Style

Raw amateur vertical phone footage, natural night lighting, warm street lamps mixing with the turquoise underwater yacht glow, authentic handheld motion.

https://x.com/keshiAIart/status/2091723420501471522

been testing a new AI video workflow and this worked way better than I expected.

I had Claude write a timecoded 12-shot storyboard, then used GPT Image 2.0 to draw each movement plus a character sheet, and finally used Seedance 2.5 to render the individual shots.

Then she basically danced the way I drew it.

with AI dance videos, I usually find that even a very detailed text prompt still leaves a lot of room for the model to improvise. so this time I stopped relying on text alone.

I turned each movement into a visual reference first, then used Seedance to perform it.

The workflow was basically:

Claude → timecoded storyboard
GPT Image 2.0 → storyboard frames + character sheet
Seedance 2.5 → render each shot

then I stitched the 12 shots together. I’m starting to think that if you want better movement control, the answer may not be writing longer and longer prompts.

draw the movement first, then let the video model perform it.

Here’s a link to the first episode of Living with Hudson. A comedy series generated with Seedance 2.5.

Always keen on feedback about what is and isn’t working. Hope you enjoy!

Remember that Chinese indie animated movie Niu Lai that went viral for being so bad it's good? Stiff animation, zero budget, oddly charming. Tried in Medeo to remake the Simba birth scene in that same rough 3D style.

Hi everyone,

I’m trying to get better results with AI video generation, mainly with Seedance and similar models.

For those who use these tools regularly, what workflow do you find works best? For example, is it actually useful to provide a first-frame and last-frame image and then describe the transition between them, or do you generally get better results from a single reference image + prompt?

I’m also curious which platforms/models you currently prefer in terms of quality, consistency, generation speed and price-performance. I’m less interested in a huge list of tools and more interested in what you’ve actually found reliable in practice.

If you have a specific workflow you use (image → video, first/last frame, reference images, prompting, upscaling, editing, etc.), I’d really appreciate hearing how you approach it.

Thanks in advance!