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Stop choosing between speed, cost & quality! Dreamina Seedance 2.0 Mini just dropped: • 2× faster generation • ~30-50% lower cost • Still cinematic, consistent, high quality output Perfect for short dramas, marketing ads, viral shorts & rapid testing. Limited-time promo live big credit discounts! Generate more. Spend less....

222,712 views • 1 month ago •via X (Twitter)

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This one was made with Seedance 2.0 Fast via Dreamina. This is pure Omni-Reference. The only character sheet I used was for these girls, Sari and Ploy. The dude with sarung here and the location were 100% prompted. I didn’t use a character sheet or reference for either of them. Even in Fast mode, Seedance 2.0 is bloody good and it still nails the hyper-vernacular vibe that I always aim for in my work. Seedance 2.0 is both exciting and scary for me 😆 It’s exciting because it is undoubtedly the best model currently available on the market. Trust me, you’ve seen the videos I’ve made so far right? The performance of the model It’s simply the best, period. It has helped me tremendously in creating a shit ton of stories about the region where I live, Southeast Asia. It has been the most exciting thing ever. The scary part is whenever a platform or company comes to me saying, “Hey, we have this new video model. Blah blah blah. We’ll let you know more soon.” It scares the shit out of me because the big question is whether it will be better than Seedance 2.0??? 😆😆 If not, I don’t even want to bother using it. I’ve come this far and achieved this level of quality with Seedance 2.0. That’s why I skipped Happy Horse, which I already tested. It’s also why I’m not bothering with Wan or anything else for now. Their current models are still far inferior to what we already get with Seedance 2.0. I don’t want to downgrade the visual quality. This is also why I need to be really honest. There are certain platforms that host their own in-house models and i'm still part of their CPP. However, because those models are still far behind the quality of Seedance 2.0, I haven’t used them that much. Seedance 2.0 has simply become the benchmark for me. The type of output I’m looking for is also extremely specific, so I can immediately feel it when a model cannot deliver what I need. Seedance 2.0 is definitely not cheap, but it gives me so much creative satisfaction and allows me to make whatever I want. I even have a team that low-key makes softcore erotic videos in the style of Vivamax 😆 I think I’ve trimmed down so many things in my AI workflow because my main goal is to focus on the content itself. If Seedance 2.0 Mini is released soon, I’m dead curious to test it. I think I want to create more stories that revolve around drama rather than highly technical cinematic shots. Seedance 2.0 Fast has been incredibly helpful, but I’m definitely curious to check out the Mini version. But the truth is that I’m completely tool-agnostic. I don’t care which company makes the model. I only care about the quality. You might remember when I praised Grok Imagine Video so damn hard because it was genuinely amazing back then. Then the quality kept getting worse and worse, so I stopped using it. But if it gets better again, I’ll definitely want to use it again. At the end of the day, quality is the only thing that matters.

DAN · MXVDXN

15,865 views • 1 month ago

Seedance 2.0 1080p Infinite Fight Scenes From One Prompt Created a parametric prompt for epic fight scenes. You can generate unlimited variations just by changing the parameters. Tested one generation in 1080p with Seedance 2.0 on Higgsfield. More examples with prompts are in the replies. Prompt Template: FORMAT: 15s / continuous fight CHARACTERS A: [character_A] B: [character_B] ENVIRONMENT [short description] FIGHT PROFILE STYLE: [brutal / elegant / tactical / chaotic / cinematic] ENERGY: [low / medium / high / explosive] WEAPONS: [none / melee / mixed] INTENT: [duel / assassination / survival / dominance / training] VISUAL Cinematic realism, physical lighting, shallow DOF, subtle grain, natural motion blur. DIRECTIVE No fixed choreography. Fight emerges dynamically from characters, environment, and momentum. BEHAVIOR - Use environment freely (walls, ground, objects) - Allow verticality (climb, wall-run, elevation shifts) - Encourage unexpected but physically valid actions RULES - Momentum chain only, no isolated actions - Clear positioning at all times - Continuous, motivated camera (POV / OTS / wide / low-high as needed) - Environment actively reacts (splashes, debris, sparks) IMPACT Strong contacts: 2-frame hold + brightness spike + micro shake resume MOTION Secondary delay (~2 frames) on hair, fabric, environment. RHYTHM Fast exchanges + micro pauses + 1–2 slow-motion beats (0.5–1s) ESCALATION Intensity rises. Include: - one vertical/environment-driven move - one decisive high-impact action HERO MOMENT (CRITICAL) Generate one standout finishing beat: - visually dominant, clearly readable - uses environment or full-body motion - slow-motion entry → sharp impact → brief aftermath hold - ends with strong silhouette or positional advantage GUARDRAILS - Keep character identity and position consistent (no teleporting) - Respect weight and inertia (no floaty or impossible motion) - Ensure clear cause → effect in every action - Keep camera readable and motivated (no random spins or cuts) - Use environment logically (no clipping or mismatch) - Prioritize clarity and physical realism over complexity OUTPUT Fluid, physical, cinematic fight with clear spatial logic, dynamic camera, environmental interaction, and a memorable final highlight moment.

Kōda

44,598 views • 3 months ago

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

Alok

12,962 views • 29 days ago

Wait? Is this Seedance 2 Mini? The mystery Seedance 2 model IS HERE! No wait this time. About 55% of the cost of the 2.0 Fast is about 75% Quality wise they say to expect Fast level output and that seems fair? Thoughts? Left is Seedance 2 Mini Right is Seedance 2.0 Full Prompt Image To Video Use the uploaded images as identity, costume, and lighting reference. Same naturally confident charismatic age 25 woman throughout performing a sold-out arena concert. Real concert documentary feel, handheld camera energy, practical stage lighting only. gritty, real, fun, clean editing, english language high energy modern concert performance 0: 00–0:01 — Open tight on her face mid-performance, eyes bright, genuine laugh breaking through a lyric, hair catching stage light. Crowd noise swells under faint mic hum. 0: 01–0:06 — She steps forward to the edge of the stage, singing into the mic with playful energy, she frowns, sad "Wait! Is this Seedance 2 Mini?" and then smiles and laughs free hand reaching out toward the crowd, fingers brushing toward raised phones and hands. The crowd repeats the lyric back to her as she laughs. Warm stage lights and lens flares in the background, slight handheld camera sway following her movement. 0: 06–0:09 — Wide shot from a low angle near the crowd barrier — she's framed against haze and colored stage lights, band visible in soft focus behind her (guitarist stage left, keyboard player stage right). She throws her free arm out wide, laughing between lines, hair whipping slightly as she turns. 0: 10–0:12 — Cut to a closer three-quarter shot — she playfully points the mic toward the crowd for a sing-along moment, grinning, eyes scanning the audience with real warmth and connection. Visible sweat sheen, natural skin texture, slight camera shake as if shot from the pit. — Final beat: close-up, she looks directly into the lens with a bright, genuine smile Camera: handheld documentary-style movement throughout, natural focus pulls, no perfectly smooth gimbal shots, slight shake and imperfection consistent with a real concert film crew. Practical stage lighting only — no CGI glow, no artificial bloom, no glossy skin, visible natural texture and sweat under hot lights. Audio: live arena ambience — crowd roar, cheering, phone-camera flash pops, her voice carrying clearly over a full live band mix (electric guitar, keys, drums, bass). No studio polish — natural live-mix dynamics, slight room reverb. No on-screen text, no logos, no subtitles, no watermarks, no identity drift, no extra performers beyond the band already in frame, no slideshow stillness, no overly smooth or glossy rendering, no jarring cuts, no akward moments, no jerky moves, no duplicates, no clones

Brent Lynch

12,501 views • 1 month ago