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Wan 3.0 is live on Magnific. One generation now takes 20 references at once: 10 images, 5 audio, 5 videos. Not one style ref. Twenty. What that actually changes: Length : 2 to 30 seconds in a single pass. No stitching, no extending clip by clip and praying the...

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LudovicCreator

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24,012 views • 4 days ago •via X (Twitter)

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Seedance 2.5 hits ComfyUI today 30 seconds. One pass. No stitching, no seams to hide. → up to 50 reference assets per run (30 images, 10 videos, 10 audio) → second-level shot control - write the prompt as a timeline and it holds the schedule → edit or extend existing footage in plain language → native dialogue + lip sync in 10+ languages
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Seedance 2.5 hits ComfyUI today 30 seconds. One pass. No stitching, no seams to hide. → up to 50 reference assets per run (30 images, 10 videos, 10 audio) → second-level shot control - write the prompt as a timeline and it holds the schedule → edit or extend existing footage in plain language → native dialogue + lip sync in 10+ languages

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AI video is moving beyond "generate a clip". We're entering the era of directing entire scenes. With MiniMax H3 on Magnific, you can combine: → Text → Images → Videos → Audio in a single workflow. Then control: → Character → Camera → Motion → Sound with far more consistency than a prompt alone. That's what makes this model interesting. 50% OFF until September 1.

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gemini omniflash is actually f*cking cracked. you can animate/edit any video with a text prompt. character swaps, object transforms, full environment changes without regenerating/rotoscoping. everyone using AI to to animate and edit videos right now hits the same wall. the clip comes out 90% right and you regenerate from scratch hoping the 10% fixes itself. it never does. the fix is using your video as the input. omniflash edits what's already there instead of rolling the dice again. here's what's in the system: > the two-layer premiere trick: generate the same shot twice (one with background removed), stack them, cut at one frame, instant scene change > character swap with a single reference image (plus the one line you need or the model keeps the original's features) > object transforms that leave the rest of the frame untouched: stone into glowing sphere, candles into flowers > style transfer from an image reference instead of text, way more accurate > why stacking edits in one prompt breaks everything and the exact step order that doesn't > the audio limitation nobody mentions and how to work around it i packaged every prompt, the edit sequence, and the premiere layering setup. RT + reply "OMNI" and i'll send it over.

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Wiro AI — Ship AI Faster

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📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

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TIMED DIALOGUE IN A NIGHTCLUB. THREE WALLS FALL AT ONCE. Nightclub sketch, cut in two halves. Black-and-white first - a couple making out on a couch, someone laughing off-camera. Then color reveals the setup: guy walks up with a drink, delivers a line, she gives him a one-sentence answer that changes the picture, he pauses, then kisses her anyway. None of them exist. It's fully generated, both halves. - What used to be four problems is now one clip Character consistency across a cut - same two faces in B&W and in color. Two-person dialogue with alternating lip sync - three separate English lines, all on time, all matching mouth shapes. Nightclub lighting - low light, saturated color wash, moving sources - was the last hard lighting environment for AI video to render without collapsing into noise. And a kiss - two faces contacting without merging into each other, which has been one of the persistent tells. Any one of these has been solvable for maybe six months. All four in one sketch was still a demo-reel problem in early 2026. - The B&W cut is doing two jobs The editing choice isn't style. It's engineering. Splitting a 15-second sketch into two 5-7 second clips means the model only has to hold consistency inside each segment, not across the whole thing. Monochrome also hides small differences between the two generations - if the girl's face is 3% off between the halves, B&W flattens the delta. Color grading in the second half does the reverse job. Two seams, both hidden by the aesthetic. - The comic beat is the actual craft Generating a kiss is one problem. Generating a kiss that lands as a punchline is a different one. The half-second where he pauses, processes, and decides not to care - that timing has to be prompted specifically. The default output of every current model is a rushed sequence with no beats. Deadpan comic delivery out of AI video means the operator wrote the prompt the way a screenwriter would - pauses, reactions, holds, all specified frame by frame. - What it costs Two 5-7 second clips at $3-5 each with in-model audio. Locked character references for both actors so the faces match across the cut. Prompt structured as a mini-script with beat notation. Realistically 40-60 rerolls to land the timing on all three spoken lines and the kiss. Under $200 in compute. A weekend from concept to publish-ready. - What this actually opens Short-form comedy has been the one segment of content nobody was making with AI video yet, because you can't fake comic timing when your output has drift and glitches. That barrier just came down. Which means every sketch account, every meme page, every stand-up clip factory now has a pipeline that doesn't require booking actors, renting a location, or getting a laugh out of a live crew. That's a real shift in a market that produces billions of views a month.

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The world-first global launch of Dreamina Seedance 2.5 is live on Dreamina while US creators are expected to wait roughly one more week. AI video has had the same frustrating problem for years: You generate one short clip. Then another. Then another. And suddenly, the character, lighting, camera language, and story no longer match. Seedance 2.5 is built to reduce that fragmentation with up to 50 multimodal references and 30-second single-generation video. And Dreamina is currently the lowest-cost way to access the full Seedance family with no waitlist and no queuing.

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🎉 Congrats to MiniMax (official) on releasing the open weights for MiniMax H3! Day-0 support in vLLM-Omni! One model reads text, images, video, and audio as a single context and returns video with native stereo audio. Text-to-video, first/last-frame, and multi-reference generation, 4 to 15 seconds at up to 2K and 24 FPS. The MP4 comes back with H.264 video and a synchronized stereo track already muxed in. It serves over the OpenAI-compatible /v1/videos endpoint, synchronous or async with job polling. 🔊 The video ⬇️ was made with H3, served on vLLM-Omni.

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A 22-YEAR-OLD IN CHINA SOLD HER VIRAL AI REELS TO 6 LOCAL BUSINESSES AND CLEARED $11,900 LAST MONTH She never filmed a thing. She tracked 40 faceless channels in one sheet and scored every clip that beat its own channel. One line ran the sort: views over the channel's median. Anything past 30 was a format she could reskin that week. The AI-video look was blowing up on Douyin, so she took the shape and ran it in english first. For $50 a month in apps she found the format on Monday and shipped by Wednesday. Claude prompted each format into 30 shot lists. CapCut generated the whole clip, a photoreal AI girl in a full scene, with AI voice and captions. Make posted to 3 platforms and fed the numbers back into the same sheet, so her own hits fed the next batch. She walked into a boutique with a phone and a page of outlier scores. She left with a retainer for 20 AI videos a month. A studio needs a model, a crew, and a shoot day for one clip. She generated hers overnight. Every prompt and the scenario are in the article.
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A 22-YEAR-OLD IN CHINA SOLD HER VIRAL AI REELS TO 6 LOCAL BUSINESSES AND CLEARED $11,900 LAST MONTH She never filmed a thing. She tracked 40 faceless channels in one sheet and scored every clip that beat its own channel. One line ran the sort: views over the channel's median. Anything past 30 was a format she could reskin that week. The AI-video look was blowing up on Douyin, so she took the shape and ran it in english first. For $50 a month in apps she found the format on Monday and shipped by Wednesday. Claude prompted each format into 30 shot lists. CapCut generated the whole clip, a photoreal AI girl in a full scene, with AI voice and captions. Make posted to 3 platforms and fed the numbers back into the same sheet, so her own hits fed the next batch. She walked into a boutique with a phone and a page of outlier scores. She left with a retainer for 20 AI videos a month. A studio needs a model, a crew, and a shoot day for one clip. She generated hers overnight. Every prompt and the scenario are in the article.

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82,152 views • 1 month ago

The #1 AI video model on LMArena isn't Sora. It's Seedance 2.0, and it just went fully live with a feature nobody else has. You can feed it image + video + audio at once. Not one. All three. Here's why that changes everything: 🧵
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The #1 AI video model on LMArena isn't Sora. It's Seedance 2.0, and it just went fully live with a feature nobody else has. You can feed it image + video + audio at once. Not one. All three. Here's why that changes everything: 🧵

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61,322 views • 4 months ago

You don't understand... Higgsfield MCP + Claude just automated AI film making. Every single step you used to grind through to make an AI movie, you can now do 10x faster. Drop the script into Claude Opus 4.8 and say: "Here's my script. Break it into a full shotlist. Shot number, scene, shot type, camera move and the action in each frame." Now the whole film is mapped, shot by shot. - Pull your assets. Ask Claude: "From this shotlist, list every character, every location and every prop across the whole film." That's your build list. The stuff you would need to generate and give as references in next steps. - Build the character sheets. Higgsfield MCP is connected, so Claude has hands now to do stuff directly. It generates the images itself. Have the full body, back view and close up in the character sheet. One per character. Each sheet becomes the locked reference for that face. Same move for locations, generate the empty plate for each one before anyone steps into it. - Generate the frames. Feed Claude the references plus the shot and have it write and fire the Seedance 2.0 prompt. "Using the lead's character sheet and the alley plate, generate shot 4 in Seedance 2.0. Low angle, slow push-in, rain." Claude builds the prompt, calls Seedance 2.0 and the frame lands back in chat. Use a Seedance 2.0 skill to teach Claude how to prompt it properly. Now, there are 3 ways to make the shots. Pick one per scene. - Pure prompting. Fastest one. You describe the action in words and let Seedance interpret it. For consistency across a sequence, feed it a frame from the previous shot so the look carries. - Storyboarding. You hand it a panel and it matches that composition exactly. Way more control over how the shot is framed. The tradeoff is that it can introduce more cuts than you actually want. - Path Control System This is the latest technique Seedance 2.0 technique. Generate a still base plate of the scene. Draw a red line across it to mark the exact path of the movement, then describe what's happening. Seedance follows that line for the action. Also ask Claude to remove the red line when animating. This is the one for anything where motion has to land precisely. The output reads like real live action. - Lastly, generate every clip you need, then cut them together. Get it to Capcut for editing and audio design. And that's it. The pipeline that used to need a full crew and a studio can now run from one Claude chat. 2026 is gonna be wild
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You don't understand... Higgsfield MCP + Claude just automated AI film making. Every single step you used to grind through to make an AI movie, you can now do 10x faster. Drop the script into Claude Opus 4.8 and say: "Here's my script. Break it into a full shotlist. Shot number, scene, shot type, camera move and the action in each frame." Now the whole film is mapped, shot by shot. - Pull your assets. Ask Claude: "From this shotlist, list every character, every location and every prop across the whole film." That's your build list. The stuff you would need to generate and give as references in next steps. - Build the character sheets. Higgsfield MCP is connected, so Claude has hands now to do stuff directly. It generates the images itself. Have the full body, back view and close up in the character sheet. One per character. Each sheet becomes the locked reference for that face. Same move for locations, generate the empty plate for each one before anyone steps into it. - Generate the frames. Feed Claude the references plus the shot and have it write and fire the Seedance 2.0 prompt. "Using the lead's character sheet and the alley plate, generate shot 4 in Seedance 2.0. Low angle, slow push-in, rain." Claude builds the prompt, calls Seedance 2.0 and the frame lands back in chat. Use a Seedance 2.0 skill to teach Claude how to prompt it properly. Now, there are 3 ways to make the shots. Pick one per scene. - Pure prompting. Fastest one. You describe the action in words and let Seedance interpret it. For consistency across a sequence, feed it a frame from the previous shot so the look carries. - Storyboarding. You hand it a panel and it matches that composition exactly. Way more control over how the shot is framed. The tradeoff is that it can introduce more cuts than you actually want. - Path Control System This is the latest technique Seedance 2.0 technique. Generate a still base plate of the scene. Draw a red line across it to mark the exact path of the movement, then describe what's happening. Seedance follows that line for the action. Also ask Claude to remove the red line when animating. This is the one for anything where motion has to land precisely. The output reads like real live action. - Lastly, generate every clip you need, then cut them together. Get it to Capcut for editing and audio design. And that's it. The pipeline that used to need a full crew and a studio can now run from one Claude chat. 2026 is gonna be wild

Rez Karim

10,951 views • 2 months ago

AI video is moving from one-off experiments to repeatable production workflows. Dreamina Seedance 2.5 is coming soon to the Dreamina platform. For creative and marketing teams, the upcoming model will bring: 1. Up to 50 multimodal references Combine images, videos, audio, and other creative directions in one generation. 2. Up to 30 seconds of continuous video Create longer scenes with more room for product stories and brand narratives. 3. White-model and green-screen references Improve control over movement, composition, and visual direction. 4. Multilingual creation Adapt content for more global markets. 5. Precise local editing Refine specific parts without recreating the entire video. The result: a more flexible path from creative brief to finished content. 👉 #dreamina #dreaminapartner #seedance #dreaminaseedance25
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AI video is moving from one-off experiments to repeatable production workflows. Dreamina Seedance 2.5 is coming soon to the Dreamina platform. For creative and marketing teams, the upcoming model will bring: 1. Up to 50 multimodal references Combine images, videos, audio, and other creative directions in one generation. 2. Up to 30 seconds of continuous video Create longer scenes with more room for product stories and brand narratives. 3. White-model and green-screen references Improve control over movement, composition, and visual direction. 4. Multilingual creation Adapt content for more global markets. 5. Precise local editing Refine specific parts without recreating the entire video. The result: a more flexible path from creative brief to finished content. 👉 #dreamina #dreaminapartner #seedance #dreaminaseedance25

codemarch

78,823 views • 1 month ago

Introducing Muse Image and Muse Video, the first media generation models developed by Meta Superintelligence Labs. Muse Image is our most advanced image generation model yet. It follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. It also brings agentic tool use capabilities to image generation and integrates with Muse Spark. You can try Muse Image in the Meta AI app and web, as well as in Instagram Stories and WhatsApp – starting in limited countries with more locations on the way. Today we’re also previewing Muse Video, which is built upon the same pretraining base as Muse Image to deliver exceptional visual fidelity with native audio support. Learn more about both models:
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Introducing Muse Image and Muse Video, the first media generation models developed by Meta Superintelligence Labs. Muse Image is our most advanced image generation model yet. It follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. It also brings agentic tool use capabilities to image generation and integrates with Muse Spark. You can try Muse Image in the Meta AI app and web, as well as in Instagram Stories and WhatsApp – starting in limited countries with more locations on the way. Today we’re also previewing Muse Video, which is built upon the same pretraining base as Muse Image to deliver exceptional visual fidelity with native audio support. Learn more about both models:

AI at Meta

848,051 views • 1 month ago

Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)
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Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)

Mike Futia

24,589 views • 7 months ago

MiniMax H3 + Suno Beat-Synced Character Showcase Across 5 Environments First create a 15-seconds Suno track with style "punchy 4/4 beats" Then use your character reference sheet and generated audio track as references. MiniMax H3 Prompt: Use @[char ref] as the strict character reference and @[audio ref] as the timing, rhythm and editing reference. Keep the character’s exact identity, proportions, hairstyle, outfit, colors and overall style consistent throughout. Create a 15-second cinematic burst-cut video showcasing the character across 5 different environments that naturally fit their design, vibe and world. AUDIO SYNC Synchronize the entire edit to @[audio ref]. Cuts, camera accents, transitions and environment changes should land precisely on strong beats, half-beats and musical accents. Let audio1 control the pacing and intensity of the montage. STRUCTURE - 5 environments total - 3 seconds per environment - 6 burst-cut shots per environment - 30 shots total Each environment must be clearly different in atmosphere, lighting, scale and visual language. Show each environment through rapid cinematic angles: wide establishing shots, aerials, low angles, side views, tracking shots, close environmental details, medium shots and hero frames. Every cut must reveal a new angle, distance, composition or spatial relationship. Avoid repeated framing. Mix static shots, push-ins, pull-backs, tracking, orbit and crane-like movement. Keep character movement subtle and natural. The focus is environmental variety, cinematic framing and tight synchronization with audio1. Hard constraints: - exactly 5 environments - exactly 6 shots per environment - exactly 30 shots total - environment changes must follow audio1’s musical phrasing - cuts and motion accents synchronized to audio1 - no outfit changes - no character duplication - no morphing - no text or UI - no blurry unreadable frames - maintain strict character consistency
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MiniMax H3 + Suno Beat-Synced Character Showcase Across 5 Environments First create a 15-seconds Suno track with style "punchy 4/4 beats" Then use your character reference sheet and generated audio track as references. MiniMax H3 Prompt: Use @[char ref] as the strict character reference and @[audio ref] as the timing, rhythm and editing reference. Keep the character’s exact identity, proportions, hairstyle, outfit, colors and overall style consistent throughout. Create a 15-second cinematic burst-cut video showcasing the character across 5 different environments that naturally fit their design, vibe and world. AUDIO SYNC Synchronize the entire edit to @[audio ref]. Cuts, camera accents, transitions and environment changes should land precisely on strong beats, half-beats and musical accents. Let audio1 control the pacing and intensity of the montage. STRUCTURE - 5 environments total - 3 seconds per environment - 6 burst-cut shots per environment - 30 shots total Each environment must be clearly different in atmosphere, lighting, scale and visual language. Show each environment through rapid cinematic angles: wide establishing shots, aerials, low angles, side views, tracking shots, close environmental details, medium shots and hero frames. Every cut must reveal a new angle, distance, composition or spatial relationship. Avoid repeated framing. Mix static shots, push-ins, pull-backs, tracking, orbit and crane-like movement. Keep character movement subtle and natural. The focus is environmental variety, cinematic framing and tight synchronization with audio1. Hard constraints: - exactly 5 environments - exactly 6 shots per environment - exactly 30 shots total - environment changes must follow audio1’s musical phrasing - cuts and motion accents synchronized to audio1 - no outfit changes - no character duplication - no morphing - no text or UI - no blurry unreadable frames - maintain strict character consistency

Kōda

18,006 views • 20 days ago

Seedance 2.5 is LIVE on Higgsfield UNLIMITED for 33 days at zero credit cost. You'd be INSANE to waste this window: 1. Seedance 2.5 dropped on Higgsfield today 2. Unlimited generations for 33 days 3. Zero credit cost. Read that again. 4. No rationing. No credit anxiety. No choosing between experiments. 5. That constraint is the #1 reason people never master AI video 6. It just disappeared for a month 7. Generate 10 versions of every shot. Keep the winner. Delete the rest. 8. Up to 30 seconds of continuity in ONE pass 9. Up to 50 references per generation 10. Physics that actually behaves like physics 11. Advanced CGI + production-ready editing built in 12. The clip attached? That's what a single pass looks like now 13. 33 days is enough runway to build a full film 14. The $1M Higgsfield Global Film Festival is running right now 15. Unlimited practice + a $1M prize pool = the math does itself 16. In 33 days there will be two groups: people who mastered this and people who "meant to" Open Higgsfield tonight and generate until your ideas run out because for the next 33 days, your credits won’t. (clip attached: one single pass, untouched)
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Seedance 2.5 is LIVE on Higgsfield UNLIMITED for 33 days at zero credit cost. You'd be INSANE to waste this window: 1. Seedance 2.5 dropped on Higgsfield today 2. Unlimited generations for 33 days 3. Zero credit cost. Read that again. 4. No rationing. No credit anxiety. No choosing between experiments. 5. That constraint is the #1 reason people never master AI video 6. It just disappeared for a month 7. Generate 10 versions of every shot. Keep the winner. Delete the rest. 8. Up to 30 seconds of continuity in ONE pass 9. Up to 50 references per generation 10. Physics that actually behaves like physics 11. Advanced CGI + production-ready editing built in 12. The clip attached? That's what a single pass looks like now 13. 33 days is enough runway to build a full film 14. The $1M Higgsfield Global Film Festival is running right now 15. Unlimited practice + a $1M prize pool = the math does itself 16. In 33 days there will be two groups: people who mastered this and people who "meant to" Open Higgsfield tonight and generate until your ideas run out because for the next 33 days, your credits won’t. (clip attached: one single pass, untouched)

ALEX SUZUKI

378,498 views • 22 days ago

Most AI video comparisons are too easy. One prompt. One short clip. One carefully selected frame. The real test is much harder: Can the model handle dozens of references, sustain a longer shot, and still preserve the creative direction? Dreamina has officially launched Dreamina Seedance 2.5 on its platform. With up to 50 reference materials and 30-second single-generation video, it’s time to test Seedance 2.5 against Omni and Kling under more demanding conditions.
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Most AI video comparisons are too easy. One prompt. One short clip. One carefully selected frame. The real test is much harder: Can the model handle dozens of references, sustain a longer shot, and still preserve the creative direction? Dreamina has officially launched Dreamina Seedance 2.5 on its platform. With up to 50 reference materials and 30-second single-generation video, it’s time to test Seedance 2.5 against Omni and Kling under more demanding conditions.

Pradeep Pandey

43,084 views • 1 month ago