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LTX2.3 Black Magic LoRA. transforms dark/underexposed footage into visually rich scenes - preserves composition/motion while imagining plausible details; built for creative VFX and night shots, not for forensic recovery

Wildminder

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We’re not generating images anymore… We’re generating scenes 🎬 This started as a single frame made in GPT Image 2. Then I dropped it into Seedance 2.0 via Pollo AI… And it turned into a full moving shot: Camera motion Lighting shifts Real depth No editing No timeline No VFX team Just image → motion Built for brands, ads, and content teams that want to turn ideas into production-ready videos Faster and at lower cost This is what creation looks like now. Follow for more.

We’re not generating images anymore… We’re generating scenes 🎬 This started as a single frame made in GPT Image 2. Then I dropped it into Seedance 2.0 via Pollo AI… And it turned into a full moving shot: Camera motion Lighting shifts Real depth No editing No timeline No VFX team Just image → motion Built for brands, ads, and content teams that want to turn ideas into production-ready videos Faster and at lower cost This is what creation looks like now. Follow for more.

marium

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On the auspicious celebration of SHIVRATRI, our new bhajan “Bhola Bhandari” is out on Youtube. Link in bio Har Har Mahadev ✨🙏 I’d like to thank each and everyone who’ve worked on this project tirelessly, starting from recce to the release of the bhajan. ♥️✨😁 Thank you, @kartikdevofficial and Gaurav Singh for thoughtful musical creativity throughout the music production process. Patel Sandeep p , our Director for exceptional direction ,visionary leadership and creative composure on the entire project. @sanxsin for adding creative flair and aesthetics ✨ Thank you shadab.rayeen for mixing and mastering ✨ @chetnasharmaa , beautiful music composition and heartfelt lyrics ♥️ mr.sammy_boy , DOP with a keen eye for lighting turning the scenes to cinematic masterpieces. Daiana Santana.a , meticulous editing and VFX adding magic with color grading ✨ Special thanks to whistlingwoods💜💜 Photos of novos fake.rd the drone shots were amazing! Thanks to the entire crew, Assistant cinematographers @kunaldhakephotography , Ashwani Thurwal great work on enhancing cinematic experience. Great creative and line production by Jaya Kishori Productions and assistant producers @chetnasharmaa @iam_janejennifer Thank you for the lovely outfit Kritika Todi ♥️ Together, we have crafted a music video that exceeds all expectations and stands as a true testament to your talent and dedication. I am incredibly grateful for the opportunity to collaborate with such a remarkable team of individuals.

On the auspicious celebration of SHIVRATRI, our new bhajan “Bhola Bhandari” is out on Youtube. Link in bio Har Har Mahadev ✨🙏 I’d like to thank each and everyone who’ve worked on this project tirelessly, starting from recce to the release of the bhajan. ♥️✨😁 Thank you, @kartikdevofficial and Gaurav Singh for thoughtful musical creativity throughout the music production process. Patel Sandeep p , our Director for exceptional direction ,visionary leadership and creative composure on the entire project. @sanxsin for adding creative flair and aesthetics ✨ Thank you shadab.rayeen for mixing and mastering ✨ @chetnasharmaa , beautiful music composition and heartfelt lyrics ♥️ mr.sammy_boy , DOP with a keen eye for lighting turning the scenes to cinematic masterpieces. Daiana Santana.a , meticulous editing and VFX adding magic with color grading ✨ Special thanks to whistlingwoods💜💜 Photos of novos fake.rd the drone shots were amazing! Thanks to the entire crew, Assistant cinematographers @kunaldhakephotography , Ashwani Thurwal great work on enhancing cinematic experience. Great creative and line production by Jaya Kishori Productions and assistant producers @chetnasharmaa @iam_janejennifer Thank you for the lovely outfit Kritika Todi ♥️ Together, we have crafted a music video that exceeds all expectations and stands as a true testament to your talent and dedication. I am incredibly grateful for the opportunity to collaborate with such a remarkable team of individuals.

Jaya Kishori

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Sora 2 is now built into HeyGen. We were granted early access by the OpenAI team to explore how Sora 2 could live inside a platform designed for storytelling. That trust gave us the chance to bring something new to our users: not just another model integration, but a way to expand what video creation can be. Inside HeyGen, Sora 2 becomes a creative layer that turns ideas into expressive motion. Scenes, visuals, and B-roll that give every message more depth and every story more dimension. For creators, knowledge experts, entrepreneurs, and businesses, this unlock means more freedom to visualize, teach, and communicate, all within the same space where they already create. Free your story. Now with more power. See what's possible below.

Sora 2 is now built into HeyGen. We were granted early access by the OpenAI team to explore how Sora 2 could live inside a platform designed for storytelling. That trust gave us the chance to bring something new to our users: not just another model integration, but a way to expand what video creation can be. Inside HeyGen, Sora 2 becomes a creative layer that turns ideas into expressive motion. Scenes, visuals, and B-roll that give every message more depth and every story more dimension. For creators, knowledge experts, entrepreneurs, and businesses, this unlock means more freedom to visualize, teach, and communicate, all within the same space where they already create. Free your story. Now with more power. See what's possible below.

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Claude Cowork + Seedance 2.0 is f*cking wild 🤯 I built a skill inside Claude Cowork that generates UGC video ads on demand using Seedance 2.0, the best AI video model. One product image + one prompt = a full UGC ad with multiple shots, dialogue, and on-brand pacing. All inside Claude Cowork. Perfect for DTC brands and agencies who need UGC creative at volume without hiring creators or paying per-video SaaS fees. If you're briefing creators every week, waiting days for footage, paying $150–$300 per UGC video, and still getting ads that miss the brand vibe... This skill eliminates the entire loop: → Drop a product image into Claude Cowork → Tell it the ad angle (unboxing, review, lifestyle, demo) → Claude writes the dialogue, shot list, and pacing → Fires it to Seedance 2.0 via FAL AI API → Downloads finished clips into organized folders → Stitches multiple shots into one finished ad No creator briefs. No waiting for footage. No $200/video platform fees. What you get: → UGC video ads generated in minutes, not days → Full control over dialogue, pacing, and shot composition → Your product photos as reference so Seedance matches your real packaging → A reusable skill: new product, new folder, same pipeline Built 100% in Claude Cowork with the Seedance 2.0 API. I put together a full playbook with the Claude Cowork skill file, the exact prompts, and the FAL AI setup to get this running yourself. Want it for free? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Mike Futia

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One of the workflows I helped advance and lead for Destiny 2 was our static compositing pipeline for marketing visuals. When we were creating marketing content for #Destiny2, we always needed strong key visuals for weapons, characters, abilities, and other in-game elements. Unlike a traditional gameplay screenshot, where everything is baked into one static image, composited shots let us isolate individual elements and light them more precisely. That gave us a lot more flexibility to build scenes with better legibility, clearer focus, stronger lighting, improved contrast, and a more intentional overall look. One of the biggest strengths of compositing is having access to individual layers in Photoshop. That layered approach not only makes the editing process easier, but also makes the final artwork much more flexible. Images can be adapted for trailer motion graphics, reworked for print, or pushed further as creative needs evolve. Destiny 2 composites are built using Adobe Photoshop alongside in-game captures. Using advanced development tools, we light, capture, and isolate characters, weapons, and props directly from the game environment, all of which were originally created by the talented Bungie 3D art teams. Those assets are then brought into Photoshop, where they’re cut out and assembled into custom scenes using layered compositions and visual effects. The composites highlighted below are a few of the Destiny 2 pieces I’ve worked on that are meaningful to me. Let me know what your favorite is!

One of the workflows I helped advance and lead for Destiny 2 was our static compositing pipeline for marketing visuals. When we were creating marketing content for #Destiny2, we always needed strong key visuals for weapons, characters, abilities, and other in-game elements. Unlike a traditional gameplay screenshot, where everything is baked into one static image, composited shots let us isolate individual elements and light them more precisely. That gave us a lot more flexibility to build scenes with better legibility, clearer focus, stronger lighting, improved contrast, and a more intentional overall look. One of the biggest strengths of compositing is having access to individual layers in Photoshop. That layered approach not only makes the editing process easier, but also makes the final artwork much more flexible. Images can be adapted for trailer motion graphics, reworked for print, or pushed further as creative needs evolve. Destiny 2 composites are built using Adobe Photoshop alongside in-game captures. Using advanced development tools, we light, capture, and isolate characters, weapons, and props directly from the game environment, all of which were originally created by the talented Bungie 3D art teams. Those assets are then brought into Photoshop, where they’re cut out and assembled into custom scenes using layered compositions and visual effects. The composites highlighted below are a few of the Destiny 2 pieces I’ve worked on that are meaningful to me. Let me know what your favorite is!

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Created this race using GPT Image 2 and Seedance 2.0 on TapNow Prompt Follow the storyboard strictly in exact order from Panel 1 to Panel 9. Do not skip, merge, or rearrange scenes. Keep the SAME female cyclist identity across the entire film. No face changes, no hairstyle changes, no helmet changes, no body proportion inconsistencies. Baby pink must remain the dominant apparel color throughout all cycling scenes. Avoid black wardrobe replacements. Preserve realistic nighttime lighting continuity between shots. Maintain the same cool blue tones and subtle red light reflections. Heavy rain intensity must stay visually consistent across all scenes. Water physics must look physically accurate: droplets, splashes, mist, wheel spray, and runoff should behave naturally. Avoid artificial AI motion. Camera movement should feel like real cinema rigs, FPV drones, mounted bike cameras, or stabilized tracking systems. Drone shots must maintain locked framing and smooth movement without random drifting or orbiting. Use subtle cinematic motion only — no excessive shaking or jitter. Keep realistic breathing, body fatigue, pedaling mechanics, and fabric reactions to wind and rain. Preserve shallow depth of field in macro shots and atmospheric haze in wide shots. Keep the environment dark, moody, and cinematic with strong contrast between wet reflections and darkness. Ensure all reflections on asphalt, water droplets, and bike components react naturally to changing light sources. Maintain premium commercial pacing: slow controlled preparation and macro shots transitioning into aggressive high-speed riding sequences. Final output should resemble a high-budget Nike / Rapha night cycling commercial shot during a real mountain storm. Ultra-realistic cinematic night cycling commercial about female endurance cyclists riding through an intense rainstorm in the mountains at night. Premium Nike / Rapha aesthetic with baby pink performance cycling apparel as the dominant accent color. Hyper-realistic documentary look, no stylization, no anime look, no beauty filters. Natural skin texture, realistic rain interaction, physically accurate water behavior, cinematic low-key lighting, cool blue night tones mixed with subtle red rear-light reflections. Heavy rain, fog, wet asphalt reflections, cinematic motion blur, high dynamic range, shallow depth of field, premium sports commercial quality. The film follows a strict 9-panel storyboard structure with seamless cinematic transitions and continuity preserved across every scene. The SAME female cyclist identity must remain consistent throughout the entire video: same face, helmet, glasses, body proportions, baby pink apparel, lighting style, and overall appearance. Maintain continuity of rain intensity, wetness, fog density, and environmental lighting between all shots. Panel 1: Extreme macro close-up of the female cyclist’s eyes and face in heavy rain at night. Focus on soaked eyelashes, wet skin texture, raindrops streaming across the face, baby pink helmet and baby pink face mask visible. Red rear bike light flickers dynamically across her eyes and skin while cool blue night tones dominate the scene. High contrast cinematic lighting, shallow depth of field, subtle breathing motion, intense determined expression. Panel 2: Cinematic medium close-up frontal shot of the cyclist riding aggressively through heavy rain at night. She pedals hard with strong effort and forward-leaning posture. Baby pink waterproof cycling jacket soaked with rainwater. Front bike light cuts through fog and rain with subtle flickering illumination. Wet asphalt reflects red and white lights. Smooth cinematic tracking shot with controlled stable motion and slight natural float. Panel 3: Ultra-realistic macro shot of large raindrops impacting wet asphalt at night. Crown-shaped splashes and overlapping ripples in slow motion. Rough wet asphalt texture, cool blue cinematic tones, subtle reflections from bike lights.

Created this race using GPT Image 2 and Seedance 2.0 on TapNow Prompt Follow the storyboard strictly in exact order from Panel 1 to Panel 9. Do not skip, merge, or rearrange scenes. Keep the SAME female cyclist identity across the entire film. No face changes, no hairstyle changes, no helmet changes, no body proportion inconsistencies. Baby pink must remain the dominant apparel color throughout all cycling scenes. Avoid black wardrobe replacements. Preserve realistic nighttime lighting continuity between shots. Maintain the same cool blue tones and subtle red light reflections. Heavy rain intensity must stay visually consistent across all scenes. Water physics must look physically accurate: droplets, splashes, mist, wheel spray, and runoff should behave naturally. Avoid artificial AI motion. Camera movement should feel like real cinema rigs, FPV drones, mounted bike cameras, or stabilized tracking systems. Drone shots must maintain locked framing and smooth movement without random drifting or orbiting. Use subtle cinematic motion only — no excessive shaking or jitter. Keep realistic breathing, body fatigue, pedaling mechanics, and fabric reactions to wind and rain. Preserve shallow depth of field in macro shots and atmospheric haze in wide shots. Keep the environment dark, moody, and cinematic with strong contrast between wet reflections and darkness. Ensure all reflections on asphalt, water droplets, and bike components react naturally to changing light sources. Maintain premium commercial pacing: slow controlled preparation and macro shots transitioning into aggressive high-speed riding sequences. Final output should resemble a high-budget Nike / Rapha night cycling commercial shot during a real mountain storm. Ultra-realistic cinematic night cycling commercial about female endurance cyclists riding through an intense rainstorm in the mountains at night. Premium Nike / Rapha aesthetic with baby pink performance cycling apparel as the dominant accent color. Hyper-realistic documentary look, no stylization, no anime look, no beauty filters. Natural skin texture, realistic rain interaction, physically accurate water behavior, cinematic low-key lighting, cool blue night tones mixed with subtle red rear-light reflections. Heavy rain, fog, wet asphalt reflections, cinematic motion blur, high dynamic range, shallow depth of field, premium sports commercial quality. The film follows a strict 9-panel storyboard structure with seamless cinematic transitions and continuity preserved across every scene. The SAME female cyclist identity must remain consistent throughout the entire video: same face, helmet, glasses, body proportions, baby pink apparel, lighting style, and overall appearance. Maintain continuity of rain intensity, wetness, fog density, and environmental lighting between all shots. Panel 1: Extreme macro close-up of the female cyclist’s eyes and face in heavy rain at night. Focus on soaked eyelashes, wet skin texture, raindrops streaming across the face, baby pink helmet and baby pink face mask visible. Red rear bike light flickers dynamically across her eyes and skin while cool blue night tones dominate the scene. High contrast cinematic lighting, shallow depth of field, subtle breathing motion, intense determined expression. Panel 2: Cinematic medium close-up frontal shot of the cyclist riding aggressively through heavy rain at night. She pedals hard with strong effort and forward-leaning posture. Baby pink waterproof cycling jacket soaked with rainwater. Front bike light cuts through fog and rain with subtle flickering illumination. Wet asphalt reflects red and white lights. Smooth cinematic tracking shot with controlled stable motion and slight natural float. Panel 3: Ultra-realistic macro shot of large raindrops impacting wet asphalt at night. Crown-shaped splashes and overlapping ripples in slow motion. Rough wet asphalt texture, cool blue cinematic tones, subtle reflections from bike lights.

Sharon Riley

72,716 Aufrufe • vor 4 Monaten

Introducing #DJIRS5, a lightweight commercial stabilizer built to lead the scene. Featuring touchscreen subject selection with the new Enhanced Intelligent Tracking Module, enabling precise tracking of people, vehicles, pets, and custom subjects. All-axis fine-tuning knobs deliver smooth, accurate balancing, while the Electronic Briefcase Handle offers direct, intuitive control for more creative angles. Faster charging and extended battery life keep creativity moving, turning ambition into cinematic results. Key features of the DJI RS 5: ✅ Enhanced Intelligent Tracking and Composition ✅ Briefcase Handle With Gimbal & Camera Control ✅ 1-Hour Full Charge, 15% Extended Runtime ✅ Fine-Tuning Knobs and Teflon™ Enhanced Balancing ✅ 2nd-Gen Automated Axis Locks ✅ New Z-Axis Indicator Learn more: Buy now: *The Enhanced Intelligent Tracking Module and Electronic Briefcase Handle are available for separate purchase or as part of a compatible combo. *The DJI RS BG33 Battery Grip is not available for purchase in India. #DJI #DJIRonin #DJIRS5 #RS5 #CameraGimbal #CameraStabilizer #Videography

Introducing #DJIRS5, a lightweight commercial stabilizer built to lead the scene. Featuring touchscreen subject selection with the new Enhanced Intelligent Tracking Module, enabling precise tracking of people, vehicles, pets, and custom subjects. All-axis fine-tuning knobs deliver smooth, accurate balancing, while the Electronic Briefcase Handle offers direct, intuitive control for more creative angles. Faster charging and extended battery life keep creativity moving, turning ambition into cinematic results. Key features of the DJI RS 5: ✅ Enhanced Intelligent Tracking and Composition ✅ Briefcase Handle With Gimbal & Camera Control ✅ 1-Hour Full Charge, 15% Extended Runtime ✅ Fine-Tuning Knobs and Teflon™ Enhanced Balancing ✅ 2nd-Gen Automated Axis Locks ✅ New Z-Axis Indicator Learn more: Buy now: The Enhanced Intelligent Tracking Module and Electronic Briefcase Handle are available for separate purchase or as part of a compatible combo. The DJI RS BG33 Battery Grip is not available for purchase in India. #DJI #DJIRonin #DJIRS5 #RS5 #CameraGimbal #CameraStabilizer #Videography

DJI

62,155 Aufrufe • vor 8 Monaten

The Lord of the Rings trilogy changed cinema forever, and much of it happened behind the scenes. Peter Jackson took a massive gamble by shooting all three films at once. The cast later returned for reshoots, shaping the trilogy into the epic we know today. Cinematographer Andrew Lesnie crafted the trilogy’s iconic look sweeping landscapes, mythic lighting, and a visual identity that instantly became cinematic history. The score by Howard Shore elevated every frame, turning Middle-earth into something that felt ancient, emotional, and alive. And while not every moment followed the books perfectly, screenwriter Fran Walsh helped shape a powerful, cohesive script that brought Tolkien’s world to modern audiences with heart and clarity. The trilogy also pushed filmmaking technology forward. Weta Workshop and Weta Digital built thousands of props, miniatures, and revolutionary visual effects, while actors like Andy Serkis delivered groundbreaking motion-capture performances that changed the industry forever.

The Lord of the Rings trilogy changed cinema forever, and much of it happened behind the scenes. Peter Jackson took a massive gamble by shooting all three films at once. The cast later returned for reshoots, shaping the trilogy into the epic we know today. Cinematographer Andrew Lesnie crafted the trilogy’s iconic look sweeping landscapes, mythic lighting, and a visual identity that instantly became cinematic history. The score by Howard Shore elevated every frame, turning Middle-earth into something that felt ancient, emotional, and alive. And while not every moment followed the books perfectly, screenwriter Fran Walsh helped shape a powerful, cohesive script that brought Tolkien’s world to modern audiences with heart and clarity. The trilogy also pushed filmmaking technology forward. Weta Workshop and Weta Digital built thousands of props, miniatures, and revolutionary visual effects, while actors like Andy Serkis delivered groundbreaking motion-capture performances that changed the industry forever.

LOTR Universe

19,506 Aufrufe • vor 6 Monaten

Creating an experimental anime film with Seedance 2.5 on CapCut has completely changed how I approach AI video production. For this project, I started with a character sheet to lock the character’s identity, costume, facial features, color palette, and hand-drawn ink style. From there, I built cinematic sequences around extreme close-ups, dynamic camera movement, expressive ink strokes, motion smears, typography, and editorial-style compositions. What makes this workflow especially powerful is that Seedance 2.5 is officially available on CapCut, giving creators first access to its full capabilities directly inside the creative workflow. Instead of generating a shot and moving to another tool for everything else, I can generate with Seedance 2.5 and continue refining the result in the same workflow and selecting the strongest moments, refining individual shots, making localized edits, and directing changes with natural-language commands. The long-form capability is also important for projects like this. Being able to create shots up to 30 seconds and extend scenes while maintaining character, scene, and motion consistency makes it possible to think beyond isolated AI clips and start building actual visual sequences. For this project, precision matters. Timestamp-based prompting, reference-based generation, localized editing, and more controlled creative direction allow me to design the sequence almost like a traditional production pipeline, while keeping the speed and flexibility of generative AI. The result I’m aiming for isn’t simply “an AI-generated anime video.” It’s a cohesive visual language: hand-drawn emerald ink, editorial Japanese typography, expressive animation, cinematic framing, and a consistent character moving through an evolving graphic world. This is where AI video becomes much more interesting to me, not just generating images that move, but directing an entire visual production from concept to final sequence. Seedance 2.5 + CapCut gives creators a much more complete environment to explore that workflow. And this is only the beginning. Powered by : CapCut CapCut Indonesia

Creating an experimental anime film with Seedance 2.5 on CapCut has completely changed how I approach AI video production. For this project, I started with a character sheet to lock the character’s identity, costume, facial features, color palette, and hand-drawn ink style. From there, I built cinematic sequences around extreme close-ups, dynamic camera movement, expressive ink strokes, motion smears, typography, and editorial-style compositions. What makes this workflow especially powerful is that Seedance 2.5 is officially available on CapCut, giving creators first access to its full capabilities directly inside the creative workflow. Instead of generating a shot and moving to another tool for everything else, I can generate with Seedance 2.5 and continue refining the result in the same workflow and selecting the strongest moments, refining individual shots, making localized edits, and directing changes with natural-language commands. The long-form capability is also important for projects like this. Being able to create shots up to 30 seconds and extend scenes while maintaining character, scene, and motion consistency makes it possible to think beyond isolated AI clips and start building actual visual sequences. For this project, precision matters. Timestamp-based prompting, reference-based generation, localized editing, and more controlled creative direction allow me to design the sequence almost like a traditional production pipeline, while keeping the speed and flexibility of generative AI. The result I’m aiming for isn’t simply “an AI-generated anime video.” It’s a cohesive visual language: hand-drawn emerald ink, editorial Japanese typography, expressive animation, cinematic framing, and a consistent character moving through an evolving graphic world. This is where AI video becomes much more interesting to me, not just generating images that move, but directing an entire visual production from concept to final sequence. Seedance 2.5 + CapCut gives creators a much more complete environment to explore that workflow. And this is only the beginning. Powered by : CapCut CapCut Indonesia

Kick Nost

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Every e-commerce store needs product photos… so I automated the entire process with AI + n8n. This end-to-end workflow turns one iPhone photo into 8–10 professional product shots, handling everything from model generation to final delivery. I just dropped a detailed breakdown covering: → How AI analyzes products and generates the right models → How meta-prompting creates dynamic scenes for each item → How the system maintains visual consistency across every image → How to customize this for any product category The real magic is the prompting strategy. Instead of static prompts, the system analyzes the uploaded product and generates contextually perfect scenes. Upload athletic wear → gyms and outdoor running shots Upload formal wear → office and event settings Upload winter gear → mountain lodges and snowy landscapes This has already helped e-commerce brands cut photography costs by up to 90% while drastically speeding up launches. Just think… there are 30M+ e-commerce stores, and all of them need high-quality product photos. I’m not saying this replaces professional photography entirely—but for product testing, rapid launches, and catalog builds, it’s a game-changer. (Especially when you’re generating variants while competitors are still booking shoots.) Want the exact n8n template + prompts behind this? Like & RT Follow me (so I can dm you) Comment “CATALOG” I’ll send the full n8n JSON for free + access to the YouTube walkthrough showing the full build.

Every e-commerce store needs product photos… so I automated the entire process with AI + n8n. This end-to-end workflow turns one iPhone photo into 8–10 professional product shots, handling everything from model generation to final delivery. I just dropped a detailed breakdown covering: → How AI analyzes products and generates the right models → How meta-prompting creates dynamic scenes for each item → How the system maintains visual consistency across every image → How to customize this for any product category The real magic is the prompting strategy. Instead of static prompts, the system analyzes the uploaded product and generates contextually perfect scenes. Upload athletic wear → gyms and outdoor running shots Upload formal wear → office and event settings Upload winter gear → mountain lodges and snowy landscapes This has already helped e-commerce brands cut photography costs by up to 90% while drastically speeding up launches. Just think… there are 30M+ e-commerce stores, and all of them need high-quality product photos. I’m not saying this replaces professional photography entirely—but for product testing, rapid launches, and catalog builds, it’s a game-changer. (Especially when you’re generating variants while competitors are still booking shoots.) Want the exact n8n template + prompts behind this? Like & RT Follow me (so I can dm you) Comment “CATALOG” I’ll send the full n8n JSON for free + access to the YouTube walkthrough showing the full build.

David Roberts

15,391 Aufrufe • vor 8 Monaten

Dark mode prevents myopia (nearsightedness). Dr. Alexander Wunsch, German physician studying the effects of light on health for 30+ years: "Whenever the opportunity arises to read text white on black, we should do so." Here's the mechanism: Your retina has two cell systems — ON cells and OFF cells. Black letters on white background activate the OFF cell system. Chronic activation of the OFF cell system promotes the development of myopia. Dark mode — white text on black background — activates the ON cell system instead. This is the preventive mechanism. There is also a significant difference in total light load: > Standard display (white background, black text): 95% of screen light is emitted to display the page. Only 5% is the actual text. > Dark mode (black background, white text): only 5% of total light is needed to convey the same information. Less light from the screen. The correct cell system is activated. Lower myopia risk. The first computer screens were dark mode by default — black background, green or amber text. That was optimal. The shift to white backgrounds was aesthetic, not biological. University of Tübingen, 2018 — researchers developed a mathematical model analyzing image content for myopia risk potential. Their finding? Natural outdoor scenes have a neutral effect on the eye. Conventional text on white background promotes myopia development. Dark mode presentation does not. They then tested this in subjects. Black letters on white background produced measurable changes in the eye that promote myopia. In Europe, half of all students are already nearsighted. Myopia is the most common visual impairment among young people. The more a child reads — the higher the risk. The mechanisms are not yet fully understood in all details. But the consequences are clear. Wunsch: "Dark mode is recommended wherever it does not impair the workflow during screen work." "In the evening and at night, this should be the mandatory setting in order to keep the disruption of the internal clock and the possible damage to the retina as low as possible." Wunsch's advice to parents: "If children discover the joy of reading and develop into bookworms, it is certainly a good investment to provide them with an e-book reader that enables text display on a dark background." The original screen setting was black background. We changed it for aesthetics. The biology didn't change with it.

Dark mode prevents myopia (nearsightedness). Dr. Alexander Wunsch, German physician studying the effects of light on health for 30+ years: "Whenever the opportunity arises to read text white on black, we should do so." Here's the mechanism: Your retina has two cell systems — ON cells and OFF cells. Black letters on white background activate the OFF cell system. Chronic activation of the OFF cell system promotes the development of myopia. Dark mode — white text on black background — activates the ON cell system instead. This is the preventive mechanism. There is also a significant difference in total light load: > Standard display (white background, black text): 95% of screen light is emitted to display the page. Only 5% is the actual text. > Dark mode (black background, white text): only 5% of total light is needed to convey the same information. Less light from the screen. The correct cell system is activated. Lower myopia risk. The first computer screens were dark mode by default — black background, green or amber text. That was optimal. The shift to white backgrounds was aesthetic, not biological. University of Tübingen, 2018 — researchers developed a mathematical model analyzing image content for myopia risk potential. Their finding? Natural outdoor scenes have a neutral effect on the eye. Conventional text on white background promotes myopia development. Dark mode presentation does not. They then tested this in subjects. Black letters on white background produced measurable changes in the eye that promote myopia. In Europe, half of all students are already nearsighted. Myopia is the most common visual impairment among young people. The more a child reads — the higher the risk. The mechanisms are not yet fully understood in all details. But the consequences are clear. Wunsch: "Dark mode is recommended wherever it does not impair the workflow during screen work." "In the evening and at night, this should be the mandatory setting in order to keep the disruption of the internal clock and the possible damage to the retina as low as possible." Wunsch's advice to parents: "If children discover the joy of reading and develop into bookworms, it is certainly a good investment to provide them with an e-book reader that enables text display on a dark background." The original screen setting was black background. We changed it for aesthetics. The biology didn't change with it.

no.mind

56,394 Aufrufe • vor 4 Monaten

Hollywood has a dirty secret. That perfectly clean green screen shot in your favorite Marvel movie? A human being sat in a dark room for 6 hours fixing it frame by frame. The AI keyer got the body. A person painted every strand of hair. By hand. At 2 AM. For 400 frames. The software costs $5,000 a year. And it still cannot key hair. Nuke: $4,988/year. Cannot key hair in motion blur. After Effects: $264/year. Cannot key transparent glass. Boris FX: $1,865. Cannot key fine edges without haloing. The industry's solution for 30 years has been the same: pay for expensive software, then pay a human to fix what the software couldn't. The YouTubers behind Corridor Crew looked at this and asked a different question. What if the AI didn't try to remove the green? What if it figured out what color was actually there before the green contaminated it? They trained a neural network on synthetic 3D data. Not scraped footage. Not stolen clips. Perfectly rendered scenes where every pixel's true color was already known. Hair strands. Motion blur. Transparent glass. All simulated with known ground truth. Then they fed it real green screen footage. It worked. They called it CorridorKey. Then they open sourced it. → Feed it raw green screen footage → AI reconstructs the true foreground color for every pixel → Hair stays perfect. Every strand. → Motion blur stays intact. Every frame. → Transparent glass stays transparent. → 16-bit and 32-bit EXR output. Nuke-ready. Resolve-ready. → Handles 4K natively → Runs on consumer GPUs. 6 GB VRAM minimum. → Runs on Apple Silicon via MLX → Auto-detects green or blue screen → Removes tracking markers automatically → DaVinci Resolve plugin live → Standalone GUI for non-technical users → One-click installer. No Python setup. Here's the wildest part: Within 2.5 months: 13,000+ GitHub stars. 787 forks. Active Discord. Community built a cloud render farm so you can process footage without owning a GPU. DaVinci Resolve plugin shipped. Nuke and After Effects plugins in development. VFX freelancers are already offering CorridorKey-powered services to production companies. One person. One GPU. Hollywood-quality keys. A business built on free software. Nuke: $4,988/year. Still needs manual cleanup. After Effects: $264/year. Still needs manual cleanup. Rotoscope artist: $50 to $150/hour. For the cleanup. CorridorKey: $0. No cleanup needed. One honest flag: the license is CC BY-NC-SA 4.0. Free forever for personal projects, students, indie films, and learning. Commercial use requires permission from Corridor Digital. They did not pretend it was MIT. A problem that plagued Hollywood for 30 years. Solved by YouTubers. Open sourced for free. 13,000+ stars. 787 forks. CC BY-NC-SA 4.0. Your footage. Your keys. No rotoscoping.

Hollywood has a dirty secret. That perfectly clean green screen shot in your favorite Marvel movie? A human being sat in a dark room for 6 hours fixing it frame by frame. The AI keyer got the body. A person painted every strand of hair. By hand. At 2 AM. For 400 frames. The software costs $5,000 a year. And it still cannot key hair. Nuke: $4,988/year. Cannot key hair in motion blur. After Effects: $264/year. Cannot key transparent glass. Boris FX: $1,865. Cannot key fine edges without haloing. The industry's solution for 30 years has been the same: pay for expensive software, then pay a human to fix what the software couldn't. The YouTubers behind Corridor Crew looked at this and asked a different question. What if the AI didn't try to remove the green? What if it figured out what color was actually there before the green contaminated it? They trained a neural network on synthetic 3D data. Not scraped footage. Not stolen clips. Perfectly rendered scenes where every pixel's true color was already known. Hair strands. Motion blur. Transparent glass. All simulated with known ground truth. Then they fed it real green screen footage. It worked. They called it CorridorKey. Then they open sourced it. → Feed it raw green screen footage → AI reconstructs the true foreground color for every pixel → Hair stays perfect. Every strand. → Motion blur stays intact. Every frame. → Transparent glass stays transparent. → 16-bit and 32-bit EXR output. Nuke-ready. Resolve-ready. → Handles 4K natively → Runs on consumer GPUs. 6 GB VRAM minimum. → Runs on Apple Silicon via MLX → Auto-detects green or blue screen → Removes tracking markers automatically → DaVinci Resolve plugin live → Standalone GUI for non-technical users → One-click installer. No Python setup. Here's the wildest part: Within 2.5 months: 13,000+ GitHub stars. 787 forks. Active Discord. Community built a cloud render farm so you can process footage without owning a GPU. DaVinci Resolve plugin shipped. Nuke and After Effects plugins in development. VFX freelancers are already offering CorridorKey-powered services to production companies. One person. One GPU. Hollywood-quality keys. A business built on free software. Nuke: $4,988/year. Still needs manual cleanup. After Effects: $264/year. Still needs manual cleanup. Rotoscope artist: $50 to $150/hour. For the cleanup. CorridorKey: $0. No cleanup needed. One honest flag: the license is CC BY-NC-SA 4.0. Free forever for personal projects, students, indie films, and learning. Commercial use requires permission from Corridor Digital. They did not pretend it was MIT. A problem that plagued Hollywood for 30 years. Solved by YouTubers. Open sourced for free. 13,000+ stars. 787 forks. CC BY-NC-SA 4.0. Your footage. Your keys. No rotoscoping.

Nav Toor

296,112 Aufrufe • vor 4 Monaten

Every e-commerce store needs product photos... so I automated the entire process with AI and n8n. This end-to-end workflow transforms a single iPhone photo into 8-10 professional product shots, handling everything from model generation to final delivery. I just dropped a detailed breakdown covering: → How the AI analyzes products and generates perfect models → How meta-prompting creates dynamic scenes for the model and article of clothing → How the system maintains consistency across all generated images → How you can customize this for any product category The magic happens in the prompting strategy. Instead of writing static prompts, I use AI to analyze the uploaded product and generate contextually perfect scenes. Upload athletic wear? It creates gym and outdoor running scenarios. Upload formal wear? It generates office and event settings. Upload winter gear? Mountain lodges and snowy landscapes. This system has already helped several e-commerce clients slash their photography costs by 90% while dramatically reducing time-to-market. Just think... there are over 30 million e-commerce stores out there, and they ALL need high quality product photos!!! I'm not saying this will replace all professional photography, but for product testing, rapid launches, and catalog building, it's a game-changer. (Especially when you can generate variations while your competitors are still booking photoshoots) Want the exact n8n template and prompts powering this system? 1. Like & RT this post 2. Follow me for more AI automation breakdowns 3. Comment "CATALOG" below I'll send you the complete n8n JSON for free, plus access to my YouTube tutorial showing the step-by-step build.

Every e-commerce store needs product photos... so I automated the entire process with AI and n8n. This end-to-end workflow transforms a single iPhone photo into 8-10 professional product shots, handling everything from model generation to final delivery. I just dropped a detailed breakdown covering: → How the AI analyzes products and generates perfect models → How meta-prompting creates dynamic scenes for the model and article of clothing → How the system maintains consistency across all generated images → How you can customize this for any product category The magic happens in the prompting strategy. Instead of writing static prompts, I use AI to analyze the uploaded product and generate contextually perfect scenes. Upload athletic wear? It creates gym and outdoor running scenarios. Upload formal wear? It generates office and event settings. Upload winter gear? Mountain lodges and snowy landscapes. This system has already helped several e-commerce clients slash their photography costs by 90% while dramatically reducing time-to-market. Just think... there are over 30 million e-commerce stores out there, and they ALL need high quality product photos!!! I'm not saying this will replace all professional photography, but for product testing, rapid launches, and catalog building, it's a game-changer. (Especially when you can generate variations while your competitors are still booking photoshoots) Want the exact n8n template and prompts powering this system? 1. Like & RT this post 2. Follow me for more AI automation breakdowns 3. Comment "CATALOG" below I'll send you the complete n8n JSON for free, plus access to my YouTube tutorial showing the step-by-step build.

David Roberts

89,185 Aufrufe • vor 1 Jahr

Don Lemon and the race-grifter class still can’t figure out why Black Americans are walking away from the Democrat plantation politics they’ve been selling for decades. Here’s a news flash, Black Americans are not a monolith. We are not owned by a political party. We are not obligated to think alike, vote alike, speak alike, or fall in line every time a washed-up TV activist screams “racism” on cue. Some of us are tired of being talked down to by millionaire elites who got rich convincing us that America is hopelessly evil while they cash checks from gated communities. They told us voter ID was “Jim Crow.” Meanwhile every American needs an ID to drive, fly, bank, buy a home, pick up prescriptions, or get into a federal building. The insult isn’t voter ID, the insult is pretending Black people are somehow incapable of functioning in modern society without Democrat supervision. That’s the soft bigotry of low expectations, and people are done buying it. The left’s entire playbook is built on keeping people angry, divided, and dependent. If you step outside the narrative, suddenly you’re “not really Black,” “dangerous,” or “controversial.” No. What’s controversial is using race as a business model for 20 years while cities run by your ideology collapse into crime, dysfunction, and chaos. Americans are waking up. Merit matters. Freedom matters. Common sense matters. And the race-hustling era is dying right in front of them.

Don Lemon and the race-grifter class still can’t figure out why Black Americans are walking away from the Democrat plantation politics they’ve been selling for decades. Here’s a news flash, Black Americans are not a monolith. We are not owned by a political party. We are not obligated to think alike, vote alike, speak alike, or fall in line every time a washed-up TV activist screams “racism” on cue. Some of us are tired of being talked down to by millionaire elites who got rich convincing us that America is hopelessly evil while they cash checks from gated communities. They told us voter ID was “Jim Crow.” Meanwhile every American needs an ID to drive, fly, bank, buy a home, pick up prescriptions, or get into a federal building. The insult isn’t voter ID, the insult is pretending Black people are somehow incapable of functioning in modern society without Democrat supervision. That’s the soft bigotry of low expectations, and people are done buying it. The left’s entire playbook is built on keeping people angry, divided, and dependent. If you step outside the narrative, suddenly you’re “not really Black,” “dangerous,” or “controversial.” No. What’s controversial is using race as a business model for 20 years while cities run by your ideology collapse into crime, dysfunction, and chaos. Americans are waking up. Merit matters. Freedom matters. Common sense matters. And the race-hustling era is dying right in front of them.

Wesley Hunt

197,989 Aufrufe • vor 4 Monaten

They waited for the ONE day Americans couldn’t buy $MU (check out video below) Think about it 🧵👇 🇺🇸 🦅 Wednesday: $META headline drops. $MU -5.5%. Retail panics into the close. Thursday night: Seoul gets massacred. Hynix -15%. Samsung -9%. KOSPI -8% with trading halts. $SOXX Friday: US market CLOSED for July 4th. We’re locked out. Can’t buy the dip. And what happens the second we can’t touch it? 🇰🇷 KOSPI rips +5.8% and triggers a BUY-side halt 🇰🇷 Hynix +11% 🇰🇷 Samsung +8% The V-recovery happened while your broker was dark. That’s not a coincidence. That’s a shakeout. Receipts that Monday is already decided: 📍 MU perps trading $1,029 RIGHT NOW on 24/7 markets (+5.5% before NYSE even opens) 📍 RSI reset from 82 to 48. Full flush, trend intact 📍 Still +166% YTD, sitting ON the 50 EMA runway 📍 SK Hynix lists on the Nasdaq FRIDAY. They’re not letting memory bleed into that debut $960 was the price two weeks ago. Everyone begged for this dip. Now they have it and they’re scared of it. LET ME BE CLEAR My call: V-recovery, $1,180-$1,200 by Friday. I’m not hedging this one. Full breakdown with levels in the video 👇 Not advice. My money, my risk. NO CRYING IN THE CLUB $MU $NVDA #KOSPI

They waited for the ONE day Americans couldn’t buy $MU (check out video below) Think about it 🧵👇 🇺🇸 🦅 Wednesday: $META headline drops. $MU -5.5%. Retail panics into the close. Thursday night: Seoul gets massacred. Hynix -15%. Samsung -9%. KOSPI -8% with trading halts. $SOXX Friday: US market CLOSED for July 4th. We’re locked out. Can’t buy the dip. And what happens the second we can’t touch it? 🇰🇷 KOSPI rips +5.8% and triggers a BUY-side halt 🇰🇷 Hynix +11% 🇰🇷 Samsung +8% The V-recovery happened while your broker was dark. That’s not a coincidence. That’s a shakeout. Receipts that Monday is already decided: 📍 MU perps trading $1,029 RIGHT NOW on 24/7 markets (+5.5% before NYSE even opens) 📍 RSI reset from 82 to 48. Full flush, trend intact 📍 Still +166% YTD, sitting ON the 50 EMA runway 📍 SK Hynix lists on the Nasdaq FRIDAY. They’re not letting memory bleed into that debut $960 was the price two weeks ago. Everyone begged for this dip. Now they have it and they’re scared of it. LET ME BE CLEAR My call: V-recovery, $1,180-$1,200 by Friday. I’m not hedging this one. Full breakdown with levels in the video 👇 Not advice. My money, my risk. NO CRYING IN THE CLUB $MU $NVDA #KOSPI

JC Merlo

56,044 Aufrufe • vor 2 Monaten

I came like a STORM Seedance 2.5 Prompt 👇: Create a ultra-realistic cinematic fashion video using the uploaded images as exact visual references for the woman, crowd, wardrobe, framing, and atmosphere. A young woman with the same short dark bob wears a fitted black turtleneck, black trousers, and black shoes, standing confidently at the center of a large crowd. Start with her walking slowly toward the middle of the crowd, calm and expressionless, with a lit cigarette naturally held between her lips. She reaches the center, stops, and faces directly into the camera. She takes one slow drag from the cigarette, then removes it from her mouth. She slowly exhales a visible stream of smoke toward the camera, with the smoke naturally drifting across her face. She lowers her hand and becomes completely still, staring directly into the lens. The entire crowd behind her remains frozen for a brief moment. Suddenly, everyone behind her begins moving in perfect synchronization — sharp head turns, shoulder jerks, folding forward and snapping upright. The movement should feel rhythmic, strange, powerful, and physically realistic. The woman does not move at all while the entire crowd moves behind her. Slowly push the camera closer to her, keeping her sharply focused while the crowd has subtle depth-of-field blur. Dark, cold, mysterious lighting with deep shadows, realistic skin, hair, clothing, cigarette ember, and physically accurate smoke. Photorealistic live-action quality, cinematic composition, natural human movement; no animation, CGI look, duplicated woman, distorted bodies, excessive smoke, text, subtitles, or logos.

I came like a STORM Seedance 2.5 Prompt 👇: Create a ultra-realistic cinematic fashion video using the uploaded images as exact visual references for the woman, crowd, wardrobe, framing, and atmosphere. A young woman with the same short dark bob wears a fitted black turtleneck, black trousers, and black shoes, standing confidently at the center of a large crowd. Start with her walking slowly toward the middle of the crowd, calm and expressionless, with a lit cigarette naturally held between her lips. She reaches the center, stops, and faces directly into the camera. She takes one slow drag from the cigarette, then removes it from her mouth. She slowly exhales a visible stream of smoke toward the camera, with the smoke naturally drifting across her face. She lowers her hand and becomes completely still, staring directly into the lens. The entire crowd behind her remains frozen for a brief moment. Suddenly, everyone behind her begins moving in perfect synchronization — sharp head turns, shoulder jerks, folding forward and snapping upright. The movement should feel rhythmic, strange, powerful, and physically realistic. The woman does not move at all while the entire crowd moves behind her. Slowly push the camera closer to her, keeping her sharply focused while the crowd has subtle depth-of-field blur. Dark, cold, mysterious lighting with deep shadows, realistic skin, hair, clothing, cigarette ember, and physically accurate smoke. Photorealistic live-action quality, cinematic composition, natural human movement; no animation, CGI look, duplicated woman, distorted bodies, excessive smoke, text, subtitles, or logos.

Smiling Khan

258,502 Aufrufe • vor 12 Tagen

Who better than our God of Style, #Thalaivar Rajinikanth as Baasha? 😎🔥 Bringing that authentic ’90s Thalaivar vibe into the Storm Dance trend #HiggsfieldLavaStorm ⚡ 🎥 Powered by Higgsfield AI 🧩 Genjutsu #Superstar #Rajinikanth Prompt 👇 Recreate this music video shot-for-shot using Video1 as the complete motion, performance and camera reference, Image1 as the crowd characters, Image2 as the lead, Image3 as the location, and Image4 as the cigar prop. CAST REPLACEMENT: The LEAD PERFORMER in Video1 is replaced by the lead from Image2 — a commanding stylish man, 6ft, silver-streaked dark wavy hair, full dark beard, round tinted sunglasses, cream-white tailored blazer over an open white shirt with a red cravat at the throat, a wide red silk sash at the waist, white trousers and white dress shoes. He stands dead centre with total authority and performs the lead's exact movements, turns and timing. The ENTIRE CROWD in Video1 is replaced by identical copies of the character in Image1 — a faceless humanoid figure in a glossy white helmet with a black mirrored visor and white over-ear headphones, black high-collar jacket over a black turtleneck, black tactical cargo trousers with straps and buckles, black high-top sneakers. Dozens of them, identical, in tight geometric rows filling the frame, moving in perfect unison exactly as the reference crowd does. LOCATION: replace the setting with Image3 — wide monumental black steps made of deep star-field stone speckled with glittering constellations, thin luminous edge-lines along each step, a vast black void above, and the faint silhouette of a colossal coiling dragon arcing through the darkness in the background. Pale floor at the base. PROP: in the opening shot, the lead holds and draws on the cigar from Image4 — a thick dark maduro cigar with a black-and-gold band and red BAASHA lettering, lit tip glowing with a grey ash cap and a thin curl of smoke — replacing the cigarette from the reference. He raises it to his lips and exhales slowly on the same beat. COPY TWO LAYERS FROM Video1 EXACTLY: 1. Motion and performance — copy the choreography, unison crowd movement, formation changes, head tilts, bows, body rolls and all timing exactly. Every beat lands at the same moment. Match the pace exactly, not slower. The crowd moves as one machine, perfectly synchronised. 2. Camera motion — copy the camera work exactly: the same angles, the slow continuous pull-back and scale reveal, push-ins, rises, tilts and framing at every moment, frame-for-frame, keeping the lead centred throughout. VFX: as the camera pulls back for the full group reveal, thin veils of soft white smoke drift in low from the left and right edges of the frame and rise gently through the rows, catching the light and thickening the atmosphere without obscuring the figures. STYLE: cinematic black-and-white, high contrast, ultra-wide cinematic framing, glossy white helmets against deep black, dramatic monumental scale, premium music-video quality matching Video1. Negative prompt: visible eyes on the robots, mismatched crowd outfits, lead blending into the crowd, cigarette, colour footage, warm colour grade, slow motion, slower than reference, static locked-off camera, ignoring reference camera motion, breaking formation, changing the location, heavy fog obscuring the figures, distorted hands, extra limbs, watermark, logo, subtitles.

Syed Abuthahir ∞

20,071 Aufrufe • vor 10 Tagen

I just built an AI-powered creative search engine with Gemini Embedding 2 + Claude Code 🤯 Drop in your UGC clips, product shots, and ad variations — then search through everything in plain English. "Show me all the unboxing clips." "Find product shots with natural lighting." "Which creator talked about sensitive skin?" All inside Claude Code. Perfect for DTC brands and agencies sitting on hundreds of creative files they can never find when they actually need them. If you're digging through a folder of random file names, scrubbing through raw footage to find that one clip, and relying on memory to track down what's already been shot... This system eliminates the entire loop: → Drop your videos, images, and docs into a project folder → One prompt to Claude Code — it builds the entire search app for you → Google's new Gemini Embedding 2 model actually watches your videos and looks at your images → It understands what's inside each file — not just the file name → Search in plain English and get back the actual assets with confidence scores No scrolling through folders. No relying on file names to find anything. No re-shooting footage you already have. What you get: → A searchable library of every creative asset your brand has ever produced → Natural language search across video, images, and documents at the same time → Results that show the actual files inline — play videos, view images, read docs → A system that gets smarter every time you add richer descriptions to your assets One free API key. No monthly subscriptions. Runs on your machine. I put together a full playbook with the exact build prompt, the setup process, and DTC/agency use cases to get this running in under 30 minutes. Want the full playbook? > Like this post > Comment "SEARCH" And I'll send it over (must be following so I can DM)

Mike Futia

12,283 Aufrufe • vor 6 Monaten