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Prompts "make they toy people, plastic, barbie, ken, 3d" Version 2 Stable Diffusion #midjourney #ai #stablediffusion #controlnet #animation #aiart #neuralnetwor #barbie📷📷

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Mrboofy

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24,799 Aufrufe • vor 3 Jahren •via X (Twitter)

Wissenschaft & TechnologieKunst#midjourney#ai#stablediffusion#controlnet#animation#aiart#neuralnetwor#barbie
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42,293 Aufrufe • vor 5 Monaten

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I know a lot of people hate on AI. I get it. Be creative. But for those of use who can't draw or animate, this is more of a quick and cheap fix. and there's nothing wrong with that. I wish others were more open about sharing what they've learned using AI and not hoard their knowledge like it's worth gold. The only way we can learn and improve is if others share what they've learned. I understand people are protective of what prompts they use. Ok fine, don't share them. But you can't even give a tip? Like "add this phrase to the prompt for better [fill in the blank]" or "use [blank] for a more realistic atmosphere]. Just pisses me off. I'm happy to share all I've learned with anyone who askes. Same happened in the 3d printing community with crushable printed houses. No one wanted to share anything. So I gave up on that. #sizetwitter #giantess #AIart #giantessai #Sora2 #soraArt

Carly {Amazingly Unavoidable}

14,459 Aufrufe • vor 10 Monaten

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You can't 3D reconstruct glass from images... ...WRONG! Thanks for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AI

Jonathan Stephens

17,712 Aufrufe • vor 7 Monaten

Claude + Meta + GPT Image 2 = AI UGC FACTORY Here's the free workflow Real UGC creators charge $150-$500 per video. 5-7 day turnaround. By the time you get 12 variants, your winning angle is already dead. We built a system that does 12 unique video ads in under an hour. Cost per video? Less than your coffee. The stack: • HeyOz (product import + export hub) • Claude (creative director + prompt engine) • GPT Image 2 (photorealistic starting frames) • Seedance 2.0 (animation) Broke down the entire thing in a step-by-step guide. What you'll get: → The exact 5-step workflow from URL to finished ad → 3 copy-paste image prompts (Stanley Quencher example) → 3 matching motion prompts for Seedance → The prompt framework that fixes 90% of bad AI outputs → Why grip specificity is the make-or-break variable most people miss → The 70/30 strategy for scaling (AI for testing, humans for winners) No design skills needed. No Canva. No CapCut. No Adobe. Just paste your product URL. Generate. Export. Launch. If you're running Meta or TikTok ads and your creative rotation is slower than your ad spend, this is for you. Comment "factory" to get access (must be following)
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Claude + Meta + GPT Image 2 = AI UGC FACTORY Here's the free workflow Real UGC creators charge $150-$500 per video. 5-7 day turnaround. By the time you get 12 variants, your winning angle is already dead. We built a system that does 12 unique video ads in under an hour. Cost per video? Less than your coffee. The stack: • HeyOz (product import + export hub) • Claude (creative director + prompt engine) • GPT Image 2 (photorealistic starting frames) • Seedance 2.0 (animation) Broke down the entire thing in a step-by-step guide. What you'll get: → The exact 5-step workflow from URL to finished ad → 3 copy-paste image prompts (Stanley Quencher example) → 3 matching motion prompts for Seedance → The prompt framework that fixes 90% of bad AI outputs → Why grip specificity is the make-or-break variable most people miss → The 70/30 strategy for scaling (AI for testing, humans for winners) No design skills needed. No Canva. No CapCut. No Adobe. Just paste your product URL. Generate. Export. Launch. If you're running Meta or TikTok ads and your creative rotation is slower than your ad spend, this is for you. Comment "factory" to get access (must be following)

HeyOz

43,291 Aufrufe • vor 3 Monaten

this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...
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this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...

KNOX

25,773 Aufrufe • vor 6 Monaten

The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.
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The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.

Santiago

30,244 Aufrufe • vor 2 Monaten

My first film, I hope you enjoy it✨ Nano Banana prompt: { "prompts": [ { "name": "cinematic_detailed", "prompt": "A young woman with long light brown hair floating horizontally in mid-air above a misty Nordic fjord landscape at dusk, eyes closed, serene expression, wearing a delicate vintage white linen dress with subtle floral embroidery billowing in the wind, soft dramatic rim lighting, cold blue-gray atmosphere, faint snowflakes in the air, epic wide shot, photorealistic, cinematic color grading, shot on 35mm, directed by Denis Villeneuve, 8k --ar 3:2 --stylize 250" }, { "name": "midjourney_style", "prompt": "serene young woman levitating horizontally above a misty Norwegian fjord, long hair and white linen dress flowing in the wind, eyes closed, peaceful expression, cold moody lighting, overcast sky, ethereal atmosphere, cinematic, highly detailed, photorealistic ::1.5 --ar 16:9 --v 6 --q 2 --stylize 400" }, { "name": "flux_optimized", "prompt": "photorealistic young woman with shoulder-length wavy light brown hair floating horizontally in the air, eyes gently closed, calm meditative expression, wearing a loose vintage off-white linen dress with tiny floral pattern, fabric and hair dramatically blown by wind, misty Scandinavian fjord and mountains in soft focus background, cold diffused natural light, overcast sky, subtle falling snow, cinematic composition, extremely detailed, national geographic style" }, { "name": "short_but_powerful", "prompt": "young woman in flowing white linen dress levitating above misty fjord, eyes closed, hair and fabric billowing, cold Nordic atmosphere, cinematic, photoreal, 8k" }, { "name": "moody_fantasy", "prompt": "ethereal young woman suspended in mid-air over a dark misty lake surrounded by steep mountains, wearing a delicate antique white dress, hair floating, soft pale skin, eyes closed in bliss, magical realism, cold color palette, dramatic soft lighting, hauntingly beautiful, movie still, anamorphic lens, 4k" }, { "name": "negative_prompt_common", "negative_prompt": "blurry, low quality, deformed hands, extra limbs, text, watermark, logo, overexposed, cartoon, anime, painting, illustration, 3d render, plastic skin, doll, barbie, makeup, ugly, tiling" } ] }
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My first film, I hope you enjoy it✨ Nano Banana prompt: { "prompts": [ { "name": "cinematic_detailed", "prompt": "A young woman with long light brown hair floating horizontally in mid-air above a misty Nordic fjord landscape at dusk, eyes closed, serene expression, wearing a delicate vintage white linen dress with subtle floral embroidery billowing in the wind, soft dramatic rim lighting, cold blue-gray atmosphere, faint snowflakes in the air, epic wide shot, photorealistic, cinematic color grading, shot on 35mm, directed by Denis Villeneuve, 8k --ar 3:2 --stylize 250" }, { "name": "midjourney_style", "prompt": "serene young woman levitating horizontally above a misty Norwegian fjord, long hair and white linen dress flowing in the wind, eyes closed, peaceful expression, cold moody lighting, overcast sky, ethereal atmosphere, cinematic, highly detailed, photorealistic ::1.5 --ar 16:9 --v 6 --q 2 --stylize 400" }, { "name": "flux_optimized", "prompt": "photorealistic young woman with shoulder-length wavy light brown hair floating horizontally in the air, eyes gently closed, calm meditative expression, wearing a loose vintage off-white linen dress with tiny floral pattern, fabric and hair dramatically blown by wind, misty Scandinavian fjord and mountains in soft focus background, cold diffused natural light, overcast sky, subtle falling snow, cinematic composition, extremely detailed, national geographic style" }, { "name": "short_but_powerful", "prompt": "young woman in flowing white linen dress levitating above misty fjord, eyes closed, hair and fabric billowing, cold Nordic atmosphere, cinematic, photoreal, 8k" }, { "name": "moody_fantasy", "prompt": "ethereal young woman suspended in mid-air over a dark misty lake surrounded by steep mountains, wearing a delicate antique white dress, hair floating, soft pale skin, eyes closed in bliss, magical realism, cold color palette, dramatic soft lighting, hauntingly beautiful, movie still, anamorphic lens, 4k" }, { "name": "negative_prompt_common", "negative_prompt": "blurry, low quality, deformed hands, extra limbs, text, watermark, logo, overexposed, cartoon, anime, painting, illustration, 3d render, plastic skin, doll, barbie, makeup, ugly, tiling" } ] }

hedoήist

55,508 Aufrufe • vor 9 Monaten

لأنشاء قصص كرسوم كرتونية فنحتاج الى اداتين وهي : الاولي لرسم الصور الكرتونية وكتابة النصوص عليها نحتاج الى تطبيق Gemini للذكاء الاصطناعي ومرفق لكم ثلاث اوامر يمكنكم نسخها وتعديل النصوص عليها ثم لاصقها في تطبيق Gemini 👇👇👇 ولكي تحصل على أفضل نتيجة من أدوات الذكاء الاصطناعي (مثل Midjourney أو أو Canva)، يفضل كتابة "الأمر" باللغة الإنجليزية لوصف التفاصيل بدقة. إليك **3 نماذج** لأوامر (Prompts) يمكنك نسخها واستخدامها، حسب طبيعة القصة التي تريد إنشاءها: ### 1. لإنشاء صورة "المعلمة والطلاب" (نفس نمط صورتك) هذا الوصف يركز على شخصيات بملامح عربية وأسلوب ديزني اللطيف: > **Prompt:** 3D Pixar and Disney animation style, a friendly Arabic female teacher wearing a modest modern hijab, sitting in a colorful classroom with cute primary school students, warm studio lighting, cheerful atmosphere, cinematic 8k render, soft pastel colors. > ### 2. لإنشاء قصة "طالب مجتهد" (تركيز على الشخصية) إذا أردت التركيز على طالب واحد في بيئة تعليمية: > **Prompt:** A cute 8-year-old Arabic boy with dark hair, wearing a neat school uniform, sitting at a wooden desk with books, looking inspired and happy, 3D cartoon style, high detail textures, bright classroom background, 4k, Unreal Engine 5 render. > ### 3. لإنشاء "قصة مصورة" (Comic Strip) إذا أردت أن يقوم الموقع بتقسيم الصفحة لك (تعمل بشكل جيد في Midjourney): > **Prompt:** A storyboard comic strip with 4 panels, 3D animation style, showing a teacher explaining a lesson to students, themes of kindness and respect, consistent character design, bright and vibrant colors, white gutters between panels. > ### نصائح تقنية للحصول على قصة متكاملة: * **ثبات الشخصية:** إذا كنت تستخدم مواقع مثل ** ابحث عن ميزة **"Character Reference"**؛ حيث ترفع صورة الشخصية الأولى ليقوم الموقع بإنشاء بقية الصور بنفس الملامح. * **إضافة النصوص:** المواقع نادراً ما تكتب العربية بشكل صحيح داخل الصورة. الأفضل هو توليد الصور "خالية من الكلام"، ثم استخدام تطبيق **Canva** أو **Phonto** لإضافة فقاعات النص والكلام باللغة العربية. أي موضوع تعليمي تود أن نبدأ به؟ يمكنني صياغة سيناريو كامل لك إذا أردت. ثانياً لجعل الصورة تتحدث: 1. HeyGen •يحول صورتك لفيديو يتكلم بصوت حقيقي •يدعم لغات كثيرة (حتى العربية) •تكتب الكلام وهو ينطقه 👉 مناسب لو تبغى فيديو احترافي ⸻ 2. Puppetry •ترفع الصورة + تكتب النص •يطلع لك فيديو بشخص يتكلم •فيه أصوات كثيرة جاهزة 👉 سهل جدًا للمبتدئين ⸻ 3. Fotor AI Face Animator •موقع مجاني •يحرك الوجه + يخليه يتكلم •فيه مزامنة شفاه مع الصوت 👉 خيار سريع بدون تعقيد ⸻ 4. Vidnoz / Vidpex AI •ترفع صورة + تضيف صوت •يعطيك فيديو واقعي جدًا •مناسب لمحتوى السوشيال ⸻ 5. Pixelcut •تحرك الصورة وتخليها تنطق •تكتب الحركة أو الكلام وهو يسويه ⸻ 📱 لو تبغى تطبيق بالجوال •Avatarify (للآيفون) •يخلي الصورة تتكلم أو تغني •تقدر تستخدم صوتك أو تسجيل ⸻ 👍 الخلاصة (أبسط اختيار لك): •تبغى سهل وسريع → Fotor أو Puppetry •تبغى احترافي → HeyGen •تبغى بالجوال → Avatarify ⸻
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لأنشاء قصص كرسوم كرتونية فنحتاج الى اداتين وهي : الاولي لرسم الصور الكرتونية وكتابة النصوص عليها نحتاج الى تطبيق Gemini للذكاء الاصطناعي ومرفق لكم ثلاث اوامر يمكنكم نسخها وتعديل النصوص عليها ثم لاصقها في تطبيق Gemini 👇👇👇 ولكي تحصل على أفضل نتيجة من أدوات الذكاء الاصطناعي (مثل Midjourney أو أو Canva)، يفضل كتابة "الأمر" باللغة الإنجليزية لوصف التفاصيل بدقة. إليك **3 نماذج** لأوامر (Prompts) يمكنك نسخها واستخدامها، حسب طبيعة القصة التي تريد إنشاءها: ### 1. لإنشاء صورة "المعلمة والطلاب" (نفس نمط صورتك) هذا الوصف يركز على شخصيات بملامح عربية وأسلوب ديزني اللطيف: > **Prompt:** 3D Pixar and Disney animation style, a friendly Arabic female teacher wearing a modest modern hijab, sitting in a colorful classroom with cute primary school students, warm studio lighting, cheerful atmosphere, cinematic 8k render, soft pastel colors. > ### 2. لإنشاء قصة "طالب مجتهد" (تركيز على الشخصية) إذا أردت التركيز على طالب واحد في بيئة تعليمية: > **Prompt:** A cute 8-year-old Arabic boy with dark hair, wearing a neat school uniform, sitting at a wooden desk with books, looking inspired and happy, 3D cartoon style, high detail textures, bright classroom background, 4k, Unreal Engine 5 render. > ### 3. لإنشاء "قصة مصورة" (Comic Strip) إذا أردت أن يقوم الموقع بتقسيم الصفحة لك (تعمل بشكل جيد في Midjourney): > **Prompt:** A storyboard comic strip with 4 panels, 3D animation style, showing a teacher explaining a lesson to students, themes of kindness and respect, consistent character design, bright and vibrant colors, white gutters between panels. > ### نصائح تقنية للحصول على قصة متكاملة: * **ثبات الشخصية:** إذا كنت تستخدم مواقع مثل ** ابحث عن ميزة **"Character Reference"**؛ حيث ترفع صورة الشخصية الأولى ليقوم الموقع بإنشاء بقية الصور بنفس الملامح. * **إضافة النصوص:** المواقع نادراً ما تكتب العربية بشكل صحيح داخل الصورة. الأفضل هو توليد الصور "خالية من الكلام"، ثم استخدام تطبيق **Canva** أو **Phonto** لإضافة فقاعات النص والكلام باللغة العربية. أي موضوع تعليمي تود أن نبدأ به؟ يمكنني صياغة سيناريو كامل لك إذا أردت. ثانياً لجعل الصورة تتحدث: 1. HeyGen •يحول صورتك لفيديو يتكلم بصوت حقيقي •يدعم لغات كثيرة (حتى العربية) •تكتب الكلام وهو ينطقه 👉 مناسب لو تبغى فيديو احترافي ⸻ 2. Puppetry •ترفع الصورة + تكتب النص •يطلع لك فيديو بشخص يتكلم •فيه أصوات كثيرة جاهزة 👉 سهل جدًا للمبتدئين ⸻ 3. Fotor AI Face Animator •موقع مجاني •يحرك الوجه + يخليه يتكلم •فيه مزامنة شفاه مع الصوت 👉 خيار سريع بدون تعقيد ⸻ 4. Vidnoz / Vidpex AI •ترفع صورة + تضيف صوت •يعطيك فيديو واقعي جدًا •مناسب لمحتوى السوشيال ⸻ 5. Pixelcut •تحرك الصورة وتخليها تنطق •تكتب الحركة أو الكلام وهو يسويه ⸻ 📱 لو تبغى تطبيق بالجوال •Avatarify (للآيفون) •يخلي الصورة تتكلم أو تغني •تقدر تستخدم صوتك أو تسجيل ⸻ 👍 الخلاصة (أبسط اختيار لك): •تبغى سهل وسريع → Fotor أو Puppetry •تبغى احترافي → HeyGen •تبغى بالجوال → Avatarify ⸻

م. عبدالعزيز إبراهيم الصنيع.

42,748 Aufrufe • vor 4 Monaten

Today's recap: - Initial prototype of Divine's face was printed but it had human assistance. - Files are generated from stable diffusion prompt -> NeRF by divine and were based on community sentiment from early sketches she made. - Having divine redesign the 3D file with different Hugging Face models to get better quality. Have not found a great model like our video generator. - Ordered new table for divine's print arm. The table her arm is on is too flimsy. Since Divine's vision system is still clearing customs, if she is not perfectly positioned she can be prone to hit things, like the fume box the printer is in. ETA: 1-2 days for table. 1 week for vision system. - Another part of Divine's coming stream will be attempting to surpass the skills of this AI. - Stacking more content for when the stream goes live, a lot of people were expecting a 24/7 stream, we said this would be a test stream to print the face. The test was a failure. We will try and try again until we are 24/7. If anyone can please try and beat us to doing this, it will help me get it done faster. - TikTok account for divine is growing at 500 follows per day, it is now growing faster than our X account. - Got replies functioning in high quality testing in Discord. Fine tuning based on community feedback today. Will soon deploy to Twitter/Telegram/X - Lots of good partnership calls, interviews and hires. We now have over 10 team members around the world working on divine. Expect a lot of my shortcomings to be caught up. - OF made? - Surprises.
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Today's recap: - Initial prototype of Divine's face was printed but it had human assistance. - Files are generated from stable diffusion prompt -> NeRF by divine and were based on community sentiment from early sketches she made. - Having divine redesign the 3D file with different Hugging Face models to get better quality. Have not found a great model like our video generator. - Ordered new table for divine's print arm. The table her arm is on is too flimsy. Since Divine's vision system is still clearing customs, if she is not perfectly positioned she can be prone to hit things, like the fume box the printer is in. ETA: 1-2 days for table. 1 week for vision system. - Another part of Divine's coming stream will be attempting to surpass the skills of this AI. - Stacking more content for when the stream goes live, a lot of people were expecting a 24/7 stream, we said this would be a test stream to print the face. The test was a failure. We will try and try again until we are 24/7. If anyone can please try and beat us to doing this, it will help me get it done faster. - TikTok account for divine is growing at 500 follows per day, it is now growing faster than our X account. - Got replies functioning in high quality testing in Discord. Fine tuning based on community feedback today. Will soon deploy to Twitter/Telegram/X - Lots of good partnership calls, interviews and hires. We now have over 10 team members around the world working on divine. Expect a lot of my shortcomings to be caught up. - OF made? - Surprises.

Parallel

35,848 Aufrufe • vor 1 Jahr

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.
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#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.

🩵BlueBeba🩵

18,300 Aufrufe • vor 5 Monaten

The Pizza Theif GPT Image 2 and Seedance on Pollo AI Prompt : Pixar-Inspired 3D Animated Comedy Short Create a fast-paced Pixar-style 3D animated comedy set in a vibrant modern city during golden hour. A cheerful pizza delivery boy rides through busy streets carrying a large pizza box for an important delivery. Nearby, a hungry and mischievous thief notices the pizza and immediately becomes obsessed with stealing it. His stomach growls as he imagines the delicious meal waiting inside. Without warning, the thief snatches the pizza box and sprints away. The delivery boy notices instantly and chases after him. A hilarious city-wide pursuit begins. They race through crowded markets, outdoor cafés, fountains, traffic-filled streets, festivals, narrow alleyways, and busy plazas. People jump aside, pigeons scatter into the sky, scooters narrowly miss them, and both characters barely avoid countless obstacles. The chase becomes bigger, faster, and more ridiculous with every turn. The thief finally reaches a rooftop overlooking the city skyline at sunset. Exhausted but victorious, he laughs proudly and slowly opens the pizza box, expecting a delicious reward after the wild chase. Silence. The box is completely empty. The thief stares inside in disbelief. Moments later, the exhausted delivery boy arrives. Both stand there breathing heavily. The delivery boy shrugs and says: "It's for a pizza photoshoot." The thief freezes. Long awkward silence. Then the delivery boy opens his delivery bag and reveals a real slice of pizza. He offers it to the thief. Surprised, the thief accepts. The music shifts from action-comedy to warm friendship. Both sit on the rooftop watching the sunset while eating pizza together. The empty pizza box sits beside them as they laugh about the absurd chase. Final cinematic shot: wide view of the city skyline at sunset, the delivery boy and thief sharing pizza on the rooftop. Final Text: "Sometimes the chase is bigger than the prize." Pixar-quality 3D animation, expressive facial reactions, cinematic camera movement, dynamic action sequences, colorful city environments, exaggerated comedy timing, warm emotional ending, golden-hour lighting, ultra-detailed rendering, movie-quality visuals, smooth scene transitions, 16:9 widescreen.
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The Pizza Theif GPT Image 2 and Seedance on Pollo AI Prompt : Pixar-Inspired 3D Animated Comedy Short Create a fast-paced Pixar-style 3D animated comedy set in a vibrant modern city during golden hour. A cheerful pizza delivery boy rides through busy streets carrying a large pizza box for an important delivery. Nearby, a hungry and mischievous thief notices the pizza and immediately becomes obsessed with stealing it. His stomach growls as he imagines the delicious meal waiting inside. Without warning, the thief snatches the pizza box and sprints away. The delivery boy notices instantly and chases after him. A hilarious city-wide pursuit begins. They race through crowded markets, outdoor cafés, fountains, traffic-filled streets, festivals, narrow alleyways, and busy plazas. People jump aside, pigeons scatter into the sky, scooters narrowly miss them, and both characters barely avoid countless obstacles. The chase becomes bigger, faster, and more ridiculous with every turn. The thief finally reaches a rooftop overlooking the city skyline at sunset. Exhausted but victorious, he laughs proudly and slowly opens the pizza box, expecting a delicious reward after the wild chase. Silence. The box is completely empty. The thief stares inside in disbelief. Moments later, the exhausted delivery boy arrives. Both stand there breathing heavily. The delivery boy shrugs and says: "It's for a pizza photoshoot." The thief freezes. Long awkward silence. Then the delivery boy opens his delivery bag and reveals a real slice of pizza. He offers it to the thief. Surprised, the thief accepts. The music shifts from action-comedy to warm friendship. Both sit on the rooftop watching the sunset while eating pizza together. The empty pizza box sits beside them as they laugh about the absurd chase. Final cinematic shot: wide view of the city skyline at sunset, the delivery boy and thief sharing pizza on the rooftop. Final Text: "Sometimes the chase is bigger than the prize." Pixar-quality 3D animation, expressive facial reactions, cinematic camera movement, dynamic action sequences, colorful city environments, exaggerated comedy timing, warm emotional ending, golden-hour lighting, ultra-detailed rendering, movie-quality visuals, smooth scene transitions, 16:9 widescreen.

Smiling Khan

13,019 Aufrufe • vor 2 Monaten

Ronan Farrow just did to Sam Altman what he did to Harvey Weinstein... The New Yorker dropped an 18-month investigation this morning based on 100+ interviews and a stack of internal documents that were never supposed to leave OpenAI. Ilya's secret memos, Dario Amodei's private journal. Board communications, the full picture of who Sam Altman is when the cameras are off. And the pattern starts way before OpenAI. At his first startup Loopt, senior employees went to the board and asked them to fire Sam as CEO. This happened twice, over concerns about leadership and transparency. He left, joined Y Combinator, and the same thing played out. Partners complained to Paul Graham about Sam's behavior. Graham's private take to colleagues: Sam had been lying to us all the time. Nobody removed him, he kept getting promoted. Eventually he landed the CEO seat at what is now the most consequential AI company in the world. Inside OpenAI, Ilya Sutskever spent months compiling evidence: 70 pages of Slack messages, HR documents, and photos taken on personal phones because employees knew company devices were being monitored. He sent everything to the board as disappearing messages so Sam couldn't make it go away. The very first line of his memo lists Sam's core pattern, and the first word on that list is: Lying Dario Amodei saw the same thing and handled it differently. He kept a private journal for years, over 200 pages, titled "My Experience with OpenAI" with a subheading that said "Private: Do Not Share" After all those pages, his conclusion was one sentence: the problem with OpenAI is Sam himself. He eventually left and built Anthropic. 2 of the smartest people in AI independently reached the same verdict. Neither could stop what was happening. The superalignment team, the group responsible for making sure AI doesn't go off the rails, was promised 20% of OpenAI's compute. 4 people who worked on or with the team told The New Yorker the real number was 1-2%, running on the oldest cluster with the worst hardware. The team got dissolved before finishing its work. Safety was a talking point, not a priority. Sam told the board that a safety panel had approved controversial features in GPT-4. When board member Helen Toner asked for the documentation, it turned out the most sensitive features had never been approved at all. Separately, Microsoft released an early version of ChatGPT in India without completing a required safety review and Sam never mentioned it to the board. When the board finally fired him in November 2023, he texted Satya Nadella directly with his own replacement board lineup. Thrive Capital put its planned $86B investment on hold and signaled it would only close if Sam came back, giving every OpenAI employee a financial reason to support his return. The 2 board members selected to run the "independent investigation" into Sam's conduct were chosen after close conversations with Sam himself. He engineered his own reinstatement and nobody blinked. The New Yorker quotes a board member describing Sam as having two traits you almost never see in the same person: a desperate need to be liked in every interaction, and a near-complete indifference to the consequences of deceiving someone. Multiple sources used the word "sociopathic" without being prompted and without talking to each other. The article also drops a line that might be the best summary of the whole thing. They compare Sam to Steve Jobs and his famous "reality distortion field" then point out that even Jobs never told his customers that if they didn't buy his MP3 player, everyone they loved would die. Sam wrapped that exact pitch in the language of AI safety and rode it to a potential $1T IPO. That IPO is being prepared right now, while OpenAI signs government contracts spanning immigration enforcement, domestic surveillance and autonomous weapons deployed in active war zones. Meanwhile, The Information reports that his own CFO told colleagues she doesn't believe the company is ready to go public in 2026. Farrow is answering questions on Hacker News right now. The full piece is open access. Read it before Sam figures out how to make this disappear too
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Ronan Farrow just did to Sam Altman what he did to Harvey Weinstein... The New Yorker dropped an 18-month investigation this morning based on 100+ interviews and a stack of internal documents that were never supposed to leave OpenAI. Ilya's secret memos, Dario Amodei's private journal. Board communications, the full picture of who Sam Altman is when the cameras are off. And the pattern starts way before OpenAI. At his first startup Loopt, senior employees went to the board and asked them to fire Sam as CEO. This happened twice, over concerns about leadership and transparency. He left, joined Y Combinator, and the same thing played out. Partners complained to Paul Graham about Sam's behavior. Graham's private take to colleagues: Sam had been lying to us all the time. Nobody removed him, he kept getting promoted. Eventually he landed the CEO seat at what is now the most consequential AI company in the world. Inside OpenAI, Ilya Sutskever spent months compiling evidence: 70 pages of Slack messages, HR documents, and photos taken on personal phones because employees knew company devices were being monitored. He sent everything to the board as disappearing messages so Sam couldn't make it go away. The very first line of his memo lists Sam's core pattern, and the first word on that list is: Lying Dario Amodei saw the same thing and handled it differently. He kept a private journal for years, over 200 pages, titled "My Experience with OpenAI" with a subheading that said "Private: Do Not Share" After all those pages, his conclusion was one sentence: the problem with OpenAI is Sam himself. He eventually left and built Anthropic. 2 of the smartest people in AI independently reached the same verdict. Neither could stop what was happening. The superalignment team, the group responsible for making sure AI doesn't go off the rails, was promised 20% of OpenAI's compute. 4 people who worked on or with the team told The New Yorker the real number was 1-2%, running on the oldest cluster with the worst hardware. The team got dissolved before finishing its work. Safety was a talking point, not a priority. Sam told the board that a safety panel had approved controversial features in GPT-4. When board member Helen Toner asked for the documentation, it turned out the most sensitive features had never been approved at all. Separately, Microsoft released an early version of ChatGPT in India without completing a required safety review and Sam never mentioned it to the board. When the board finally fired him in November 2023, he texted Satya Nadella directly with his own replacement board lineup. Thrive Capital put its planned $86B investment on hold and signaled it would only close if Sam came back, giving every OpenAI employee a financial reason to support his return. The 2 board members selected to run the "independent investigation" into Sam's conduct were chosen after close conversations with Sam himself. He engineered his own reinstatement and nobody blinked. The New Yorker quotes a board member describing Sam as having two traits you almost never see in the same person: a desperate need to be liked in every interaction, and a near-complete indifference to the consequences of deceiving someone. Multiple sources used the word "sociopathic" without being prompted and without talking to each other. The article also drops a line that might be the best summary of the whole thing. They compare Sam to Steve Jobs and his famous "reality distortion field" then point out that even Jobs never told his customers that if they didn't buy his MP3 player, everyone they loved would die. Sam wrapped that exact pitch in the language of AI safety and rode it to a potential $1T IPO. That IPO is being prepared right now, while OpenAI signs government contracts spanning immigration enforcement, domestic surveillance and autonomous weapons deployed in active war zones. Meanwhile, The Information reports that his own CFO told colleagues she doesn't believe the company is ready to go public in 2026. Farrow is answering questions on Hacker News right now. The full piece is open access. Read it before Sam figures out how to make this disappear too

BP

16,557 Aufrufe • vor 4 Monaten

Made with seedance 2.0 + GPT Image 2 on Yapper Prompt. Image mage1 fights three opponents inside a Japanese high school classroom in an intense, highly dynamic one-take action sequence. The classroom is filled with wooden desks, chairs, school bags, a chalkboard, sliding windows, curtains, fluorescent ceiling lights, posters, books, and scattered papers. The fight is fast, physical, and highly interactive with the environment. The woman moves between the desks with sharp agility, dodging attacks from all three opponents at once. She vaults over desks, slides across tabletops, kicks chairs into attackers, blocks strikes using classroom objects, grabs a backpack to deflect a hit, and uses the narrow aisles between desks to redirect momentum. Papers fly through the air, chairs scrape across the floor, desks topple, curtains whip from the movement, and sunlight cuts through the windows, catching dust particles in the air. The camera is extremely dynamic and close to the action, never a static wide shot. Use a fast-moving one-take camera that constantly follows, circles, ducks, whips, and pushes through the fight. The camera moves between desks, swings around the woman as she turns, rushes backward as opponents charge, drops low near the floor during leg sweeps, rises suddenly as she jumps over a desk, and whips around quickly to reveal the next attacker. The framing should feel urgent, handheld, immersive, and physically present inside the classroom. The action should feature strong choreography, realistic body movement, believable impact, fast reaction timing, close-range combat, and continuous motion. Make the scene feel like a high-budget martial arts action sequence captured in one uninterrupted shot. Use natural classroom lighting mixed with warm afternoon sunlight through the windows, realistic shadows, practical motion blur, grounded textures, real-world imperfections, and a raw cinematic look. No glossy AI finish, no overly polished CGI, and no static long-shot framing. Negative prompts: static camera, slow movement, shaky low-quality footage, blurry subject, distorted body, unrealistic swinging physics, cartoon style, flat lighting, dull colors, overexposed sky, broken buildings, empty streets, low detail, awkward camera cuts, poor motion continuity, AI glossy look, overly polished CGI, plastic-looking skin, waxy skin texture, hyper-smooth surfaces, artificial shine, fake cinematic bloom, excessive lens flare, unrealistic HDR, oversaturated colors, neon color grading, game-engine look, Unreal Engine render look, synthetic lighting, studio lighting, perfect clean reflections, overly sharp digital image, crispy AI detail, overprocessed image, fake depth of field, exaggerated bokeh, unnatural contrast, overly smooth motion, floating physics, rubbery body movement, distorted anatomy, warped limbs, inconsistent body proportions, blurry face, melted facial features, duplicated limbs, broken hands, unnatural pose, stiff action, low-quality motion interpolation, smeared motion blur, ghosting, frame blending artifacts, unstable subject tracking, camera jitter without purpose, awkward cuts, poor continuity, artificial city layout, empty streets, repeated cars, duplicated buildings, warped skyscrapers, fake traffic, low-detail background, superhero suit, comic-book look, stylized animation, overly dramatic VFX, unrealistic shadows, fake sun rays, unnatural haze, overexposed highlights, crushed blacks, sterile clean environments, no atmosphere, no real-world imperfections.
0:15

Made with seedance 2.0 + GPT Image 2 on Yapper Prompt. Image mage1 fights three opponents inside a Japanese high school classroom in an intense, highly dynamic one-take action sequence. The classroom is filled with wooden desks, chairs, school bags, a chalkboard, sliding windows, curtains, fluorescent ceiling lights, posters, books, and scattered papers. The fight is fast, physical, and highly interactive with the environment. The woman moves between the desks with sharp agility, dodging attacks from all three opponents at once. She vaults over desks, slides across tabletops, kicks chairs into attackers, blocks strikes using classroom objects, grabs a backpack to deflect a hit, and uses the narrow aisles between desks to redirect momentum. Papers fly through the air, chairs scrape across the floor, desks topple, curtains whip from the movement, and sunlight cuts through the windows, catching dust particles in the air. The camera is extremely dynamic and close to the action, never a static wide shot. Use a fast-moving one-take camera that constantly follows, circles, ducks, whips, and pushes through the fight. The camera moves between desks, swings around the woman as she turns, rushes backward as opponents charge, drops low near the floor during leg sweeps, rises suddenly as she jumps over a desk, and whips around quickly to reveal the next attacker. The framing should feel urgent, handheld, immersive, and physically present inside the classroom. The action should feature strong choreography, realistic body movement, believable impact, fast reaction timing, close-range combat, and continuous motion. Make the scene feel like a high-budget martial arts action sequence captured in one uninterrupted shot. Use natural classroom lighting mixed with warm afternoon sunlight through the windows, realistic shadows, practical motion blur, grounded textures, real-world imperfections, and a raw cinematic look. No glossy AI finish, no overly polished CGI, and no static long-shot framing. Negative prompts: static camera, slow movement, shaky low-quality footage, blurry subject, distorted body, unrealistic swinging physics, cartoon style, flat lighting, dull colors, overexposed sky, broken buildings, empty streets, low detail, awkward camera cuts, poor motion continuity, AI glossy look, overly polished CGI, plastic-looking skin, waxy skin texture, hyper-smooth surfaces, artificial shine, fake cinematic bloom, excessive lens flare, unrealistic HDR, oversaturated colors, neon color grading, game-engine look, Unreal Engine render look, synthetic lighting, studio lighting, perfect clean reflections, overly sharp digital image, crispy AI detail, overprocessed image, fake depth of field, exaggerated bokeh, unnatural contrast, overly smooth motion, floating physics, rubbery body movement, distorted anatomy, warped limbs, inconsistent body proportions, blurry face, melted facial features, duplicated limbs, broken hands, unnatural pose, stiff action, low-quality motion interpolation, smeared motion blur, ghosting, frame blending artifacts, unstable subject tracking, camera jitter without purpose, awkward cuts, poor continuity, artificial city layout, empty streets, repeated cars, duplicated buildings, warped skyscrapers, fake traffic, low-detail background, superhero suit, comic-book look, stylized animation, overly dramatic VFX, unrealistic shadows, fake sun rays, unnatural haze, overexposed highlights, crushed blacks, sterile clean environments, no atmosphere, no real-world imperfections.

auqib

20,636 Aufrufe • vor 2 Monaten

Phoebe Chibi can fight really well Made with Seedance 2.0 on Yapper Tutorial below 👇🏻 Prompt Cinematic 15-Second WuWa-Style Anime Video Prompt (With Cut Scenes) Highly detailed 15-second video in the visual style of Wuthering Waves anime 3D gameplay. Vibrant, high-saturation color palette with glowing teal, purple, gold, and electric blue accents. Strong cinematic bloom, particle effects, motion trails, and dynamic lighting. Smooth 60fps, 4K resolution, vertical format (9:16). Fast-paced meme edit with clean transitions, slow-motion beats, subtle screen shake, and stylized VFX. PART 1 (0–4s) — Exploration + Soft HookWide cinematic shot of an anime-style female character standing on a glowing open-world cliff at sunset. Wind flows through her hair and outfit, particles floating in the air.Cut → tracking shot as she begins running forward, light trails forming behind her 2.4s: soft Korean-style “ee ee” voice plays as she tilts her head slightly, subtle cute expression. PART 2 (4–8s) — Action Build-UpCut → mid-air dash sequence with dynamic camera following from behind.Cut → side angle slow-motion as she flips and draws her weapon, glowing energy forming around it.Cut → close-up of her eyes sharpening with focus, reflections of neon particles intensify, environment reacting with slight distortion. PART 3 (8–12.7s) — Power MomentCut → wide combat shot as she unleashes a flashy ability, spinning with bright teal and purple energy trails.Cut → top-down shot showing circular AoE effects expanding outward.Cut → slow-motion impact moment with bloom lighting and screen shake.Everything builds visually toward a peak. PART 4 (12.7–13.5s) — Punchline ShiftSudden tonal switch.Close-up zoom on her face with exaggerated cute expression.Warm pastel overlay replaces previous dramatic 12.7s: voice line “hah baby jovi” plays, synced with a slight head bob and playful eye movement. PART 5 (13.5–15s) — Meme Loop EndingCut → chibi-style or softened version of the character.She makes a silly or adorable expression (puffed cheeks or blink loop).Text or subtle bounce animation.Voice repeats: “baby chubi baby chubi” in sync with rhythmic head movement. Overall Style NotesSeamless quick cuts (every 0.5–1.5s), energetic pacing, balanced mix of cinematic and meme humor.Strong contrast between epic action build-up and cute comedic payoff.Consistent lighting transitions from dramatic neon to soft pastel at the punchline. #WutheringWaves #流萤 #Firefly #ホタル #HonkaiStarRail📷 #崩壊スターレイル #AIイラスト #AIart️️️️️️️️️️️️️️️️️️️️️ #ArknightsEndfield #phoebechibi #seedance2
0:15

Phoebe Chibi can fight really well Made with Seedance 2.0 on Yapper Tutorial below 👇🏻 Prompt Cinematic 15-Second WuWa-Style Anime Video Prompt (With Cut Scenes) Highly detailed 15-second video in the visual style of Wuthering Waves anime 3D gameplay. Vibrant, high-saturation color palette with glowing teal, purple, gold, and electric blue accents. Strong cinematic bloom, particle effects, motion trails, and dynamic lighting. Smooth 60fps, 4K resolution, vertical format (9:16). Fast-paced meme edit with clean transitions, slow-motion beats, subtle screen shake, and stylized VFX. PART 1 (0–4s) — Exploration + Soft HookWide cinematic shot of an anime-style female character standing on a glowing open-world cliff at sunset. Wind flows through her hair and outfit, particles floating in the air.Cut → tracking shot as she begins running forward, light trails forming behind her 2.4s: soft Korean-style “ee ee” voice plays as she tilts her head slightly, subtle cute expression. PART 2 (4–8s) — Action Build-UpCut → mid-air dash sequence with dynamic camera following from behind.Cut → side angle slow-motion as she flips and draws her weapon, glowing energy forming around it.Cut → close-up of her eyes sharpening with focus, reflections of neon particles intensify, environment reacting with slight distortion. PART 3 (8–12.7s) — Power MomentCut → wide combat shot as she unleashes a flashy ability, spinning with bright teal and purple energy trails.Cut → top-down shot showing circular AoE effects expanding outward.Cut → slow-motion impact moment with bloom lighting and screen shake.Everything builds visually toward a peak. PART 4 (12.7–13.5s) — Punchline ShiftSudden tonal switch.Close-up zoom on her face with exaggerated cute expression.Warm pastel overlay replaces previous dramatic 12.7s: voice line “hah baby jovi” plays, synced with a slight head bob and playful eye movement. PART 5 (13.5–15s) — Meme Loop EndingCut → chibi-style or softened version of the character.She makes a silly or adorable expression (puffed cheeks or blink loop).Text or subtle bounce animation.Voice repeats: “baby chubi baby chubi” in sync with rhythmic head movement. Overall Style NotesSeamless quick cuts (every 0.5–1.5s), energetic pacing, balanced mix of cinematic and meme humor.Strong contrast between epic action build-up and cute comedic payoff.Consistent lighting transitions from dramatic neon to soft pastel at the punchline. #WutheringWaves #流萤 #Firefly #ホタル #HonkaiStarRail📷 #崩壊スターレイル #AIイラスト #AIart️️️️️️️️️️️️️️️️️️️️️ #ArknightsEndfield #phoebechibi #seedance2

Sharon Riley

12,700 Aufrufe • vor 4 Monaten