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-How episode 8 should of ended- - (low effort shitpost animation) ------ #MurderDrones #SerialDesignationN #SerialDesignationV #serialdesignationJ #mdtwt #Glitchproductions #SFM #TessaCyn

🔥🌋BlazeAmation🌋🔥

2,748 subscribers

26,676 次观看 • 1 年前 •via X (Twitter)

喜剧艺术 #MurderDrones #SerialDesignationN #SerialDesignationV #serialdesignationJ #mdtwt #Glitchproductions #SFM #TessaCyn

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#MurderDrones #SerialDesignationN #SerialDesignationV #SerialDesignationJ #nuzi #mdtwt #SFM #GlitchProductions - V just wants to game in peace. - you can already tell what the banging could possibly mean without me saying it. -

#MurderDrones #SerialDesignationN #SerialDesignationV #SerialDesignationJ #nuzi #mdtwt #SFM #GlitchProductions - V just wants to game in peace. - you can already tell what the banging could possibly mean without me saying it. -

🔥🌋BlazeAmation🌋🔥

44,210 次观看 • 1 年前

#Uzidoorman #SerialDesignationJ #MurderDrones #GlitchProductions #Mdtwt #SFM - "Sorrgy..... accident.. 🥺"

#Uzidoorman #SerialDesignationJ #MurderDrones #GlitchProductions #Mdtwt #SFM - "Sorrgy..... accident.. 🥺"

🔥🌋BlazeAmation🌋🔥

68,813 次观看 • 1 年前

[MURDER DRONES FAN MUGS] All of the mugs I've shown are in my shop now! #murderdrones #mdtwt #uzidoorman #serialdesignationn #serialdesignationv #serialdesignationj #Doll #Lizzy #Thad #Cyn #TessaJamesElliott #absolutesolver #glitchproductions

[MURDER DRONES FAN MUGS] All of the mugs I've shown are in my shop now! #murderdrones #mdtwt #uzidoorman #serialdesignationn #serialdesignationv #serialdesignationj #Doll #Lizzy #Thad #Cyn #TessaJamesElliott #absolutesolver #glitchproductions

MarshimiiuOwO🇵🇭 (COMMS OPEN) -CYNESSA TAKEOVER-

12,025 次观看 • 4 个月前

#Nuzi #SerialdesignationN #Uzidoorman #MurderDrones #GlitchProductions #Mdtwt #SFM #UzixN - idk man, i had an idea.. lol

#Nuzi #SerialdesignationN #Uzidoorman #MurderDrones #GlitchProductions #Mdtwt #SFM #UzixN - idk man, i had an idea.. lol

🔥🌋BlazeAmation🌋🔥

25,137 次观看 • 1 年前

it is complete! #MurderDrones #Mdtwt #UziDoorman #SerialDesignationJ #glitchproductions #SFM #Juzi - NOTE: IK i made a Poll if i should make this or not and people choose Mercy. but i was bribed by a box of Oreo's and some money by Mr.Bill to do it anyways. lmao

it is complete! #MurderDrones #Mdtwt #UziDoorman #SerialDesignationJ #glitchproductions #SFM #Juzi - NOTE: IK i made a Poll if i should make this or not and people choose Mercy. but i was bribed by a box of Oreo's and some money by Mr.Bill to do it anyways. lmao

🔥🌋BlazeAmation🌋🔥

13,629 次观看 • 1 年前

- I already wanted to make this trend, and since I'm a multishipper...💛💜💛✨ Episode 7 caught me right at the end of this animation, and I definitely loved it, one of the best series endings I've ever seen✨ #murderdrones #SerialDesignationN #SerialDesignationV #UziDoorman

- I already wanted to make this trend, and since I'm a multishipper...💛💜💛✨ Episode 7 caught me right at the end of this animation, and I definitely loved it, one of the best series endings I've ever seen✨ #murderdrones #SerialDesignationN #SerialDesignationV #UziDoorman

KeepSalo (HIATUS)

35,650 次观看 • 1 年前

Test fit right after watching ep 8 twice :,D Honestly loved the end and hope to see more of the goofballs in future projects! #mdtwt #murderdronescosplay #serialdesignationn #sdncosplay #murderdrones #biscuitbites is canon Liam Vickers GLITCH

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Test fit right after watching ep 8 twice :,D Honestly loved the end and hope to see more of the goofballs in future projects! #mdtwt #murderdronescosplay #serialdesignationn #sdncosplay #murderdrones #biscuitbites is canon Liam Vickers GLITCH

DaftAftermath

16,051 次观看 • 1 年前

August recap of my Fogochain journey: Faucet →DeFi→Trading→Meme Token 1/ Testnet Expedition. Ep 1–5: ✦ Testnet Expedition Episode #1 : ✦ Testnet Expedition Episode #2 : ✦ Testnet Expedition Episode #3 : ✦ Testnet Expedition Episode #4 : ✦ Testnet Expedition Episode #5 : 2/ Faucet Guides: ✦ How To Get Faucet (Unofficial) : ✦ How to Get Faucet For Free : ✦ How to Claim Faucet by GasZip : 3/ DeFi ✦ Pyron Review : ✦ Trading Experience on Valiant : 4/ Meme Token ✦ Introducing $FF Token : Achievements in August. ▪️Earned Ember & Flame Crafter role on Fogo discord in 1 month ▪️Reached Top 8 Token Holder on Ember Dispatch ▪️Big impressions on X, even from a small account This month, my learn progress wasn’t about a single lucky break. It came from showing up daily, taking notes, fixing mistakes, and sharing what I found so others could move faster, too. Start small today. Return tomorrow. Repeat. Now, I’d love to hear from you: Which content did you enjoy the most, and what should I create next? More tutorials, trading notes, safety checklists, or deep dives into burner ecosystem? Your ideas will shape the next chapter of this journey.

August recap of my Fogochain journey: Faucet →DeFi→Trading→Meme Token 1/ Testnet Expedition. Ep 1–5: ✦ Testnet Expedition Episode #1 : ✦ Testnet Expedition Episode #2 : ✦ Testnet Expedition Episode #3 : ✦ Testnet Expedition Episode #4 : ✦ Testnet Expedition Episode #5 : 2/ Faucet Guides: ✦ How To Get Faucet (Unofficial) : ✦ How to Get Faucet For Free : ✦ How to Claim Faucet by GasZip : 3/ DeFi ✦ Pyron Review : ✦ Trading Experience on Valiant : 4/ Meme Token ✦ Introducing $FF Token : Achievements in August. ▪️Earned Ember & Flame Crafter role on Fogo discord in 1 month ▪️Reached Top 8 Token Holder on Ember Dispatch ▪️Big impressions on X, even from a small account This month, my learn progress wasn’t about a single lucky break. It came from showing up daily, taking notes, fixing mistakes, and sharing what I found so others could move faster, too. Start small today. Return tomorrow. Repeat. Now, I’d love to hear from you: Which content did you enjoy the most, and what should I create next? More tutorials, trading notes, safety checklists, or deep dives into burner ecosystem? Your ideas will shape the next chapter of this journey.

Raniii 🔥

65,755 次观看 • 11 个月前

President Trump reportedly received a text message from Norway’s Prime Minister Jonas Gahr Støre urging Trump to lower the temperature and “de-escalate” the rhetoric on Greenland. Trump fired back with a BRUTAL one-liner that ended the conversation. Here’s how the exchange went: STØRE: “Dear Mr. President, dear Donald: We believe we all should work to take this down and de-escalate.” TRUMP: “Considering your country decided not to give me the Nobel Peace Prize for having stopped 8 wars plus, I no longer feel an obligation to think purely of peace.”

President Trump reportedly received a text message from Norway’s Prime Minister Jonas Gahr Støre urging Trump to lower the temperature and “de-escalate” the rhetoric on Greenland. Trump fired back with a BRUTAL one-liner that ended the conversation. Here’s how the exchange went: STØRE: “Dear Mr. President, dear Donald: We believe we all should work to take this down and de-escalate.” TRUMP: “Considering your country decided not to give me the Nobel Peace Prize for having stopped 8 wars plus, I no longer feel an obligation to think purely of peace.”

Dralone&_DR145

3,497,880 次观看 • 3 个月前

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.

I've seen a lot of animatics lately that are super detailed, essentially viewport previews of the final shot. But an animatic at it's core doesn't need to be anything fancy. Its main purpose is to plan and test the timing, camera angles, movement, and overall composition. With animatics you have to keep in mind the following: Pre-visualization: It allows to see a basic version of the animation or scene before committing to detailed work. Timing and pacing: An animatic helps identify how long each scene or shot should last, ensuring that the timing feels right. Planning: It helps with layout, camera angles, and transitions. By visualizing the shots, the team can ensure that the framing and overall design of the scenes work well in 3D space. Efficiency: It allows the team to test and fix any potential issues early on, like awkward movements or awkward pacing, before spending time on high-quality rendering or complex animation. In short, an animatic helps in conceptualizing the final animation by giving a low-res, rough version of the scenes, which guides the entire production process in terms of visual design, timing, and storytelling.

Voxyde

22,244 次观看 • 1 年前

Is Former President Rodrigo Duterte finally conceding to Karlo Nograles? I sincerely hope so. This might be one of the very very few times I agreed with Former President Duterte and I think Davao City should listen to his wishes. Lols "Ayaw ko na. Ayaw ko na talaga. Whoever, alam mo, leave it to God. Hindi kailangang Duterte ang mayor" -FPRRD I have been to Davao City at least four times this year alone and I always think that a change in leadership will do them good. With all my love to the wonderful people of that city— it is not exactly as great as how the Dutertes package it, right? Traffic is extremely terrible, there are a lot of people in need of social aids, healthcare should be improved, poverty incidence is high, crimes exist amongst other things. And this is even after decades of Duterte reign, one term of Duterte presidency, the billions of pesos preferential budget of Pulong Duterte and influx of foreign investments especially during the time of FPRRD as president. In August 2024, General Torre even said that Davao City has been manipulating crime statistics to create a misleading impression of low crime rates in the city. He even showed the media the “blue blotter books” retrieved in Police Station 10. "Ako, tapos na ako, ibigay ko na lang chance sa iba” "Hindi na ako babalik... wala na akong... ibigay ko na sa next generation” It is important to note that under the new rules of the COMELEC, substitutions are not allowed after October 8, 2024 unless the reason is death or disqualification. CTTO/ Video

Is Former President Rodrigo Duterte finally conceding to Karlo Nograles? I sincerely hope so. This might be one of the very very few times I agreed with Former President Duterte and I think Davao City should listen to his wishes. Lols "Ayaw ko na. Ayaw ko na talaga. Whoever, alam mo, leave it to God. Hindi kailangang Duterte ang mayor" -FPRRD I have been to Davao City at least four times this year alone and I always think that a change in leadership will do them good. With all my love to the wonderful people of that city— it is not exactly as great as how the Dutertes package it, right? Traffic is extremely terrible, there are a lot of people in need of social aids, healthcare should be improved, poverty incidence is high, crimes exist amongst other things. And this is even after decades of Duterte reign, one term of Duterte presidency, the billions of pesos preferential budget of Pulong Duterte and influx of foreign investments especially during the time of FPRRD as president. In August 2024, General Torre even said that Davao City has been manipulating crime statistics to create a misleading impression of low crime rates in the city. He even showed the media the “blue blotter books” retrieved in Police Station 10. "Ako, tapos na ako, ibigay ko na lang chance sa iba” "Hindi na ako babalik... wala na akong... ibigay ko na sa next generation” It is important to note that under the new rules of the COMELEC, substitutions are not allowed after October 8, 2024 unless the reason is death or disqualification. CTTO/ Video

Just

33,718 次观看 • 1 年前

Seedance is absolutely insane for animation. Made in Runway Full Prompt: 15-second cinematic animated short, premium stylized 3D feature-film quality, charming rounded character design, expressive faces, snappy timing, fluid body motion, polished bedroom environment, warm natural window light, soft bounce lighting, realistic cloth and hair motion, shallow depth of field, cinematic lensing, playful magical tone, clean composition, strong silhouette posing. character: Hero Bread boy SHOT LIST WITH TIMING 0.0 - 3.0 sec Medium shot. Interior bedroom. 8-year-old boy sitting on bed, arm stretched forward, palm open toward a single pen on desk in front of him. He strains hard trying telekinesis. Face tense, eyes squinted, body shaking with effort, subtle bed bounce. Audible grunts. Camera slowly pushes in on boys face. 3.0 - 5.0 sec Cut to wide shot of full room. Bed on one side, desk with a pen on it. Posters, books, scattered toys, lived-in kid bedroom. Boy continues forcing powers toward pen. Curtains flutter slightly. Camera locked with slight handheld energy. Pen in foreground with the boy out of focus in the background. 5.0 - 7.0 sec Cut to close-up of boy’s face. Extreme concentration. Teeth clenched, cheeks puffing, eyebrows compressed. He gives one final powerful grunt. Tiny facial tremble, comedic over-effort. 7.0 - 8.5 sec Cut to macro close-up of a pen on the desk. Silence beat. Then the pen nudges forward only a few centimeters with tiny scrape sound. a small movement. 8.5 - 11.0 sec Cut back to medium shot of boy. He notices tiny movement but interprets it as failure. Expression falls. Long disappointed sigh. Arm drops limp. He flops backward onto bed dramatically, mattress compresses and rebounds. He stares at ceiling. 11.0 - 15.0 sec One beat of stillness. Then sudden fast crash zoom backward from boy, through bedroom, smashing out the window in one continuous camera move. Pull rapidly into huge exterior reveal: the entire house is floating 20 feet above the ground, gently hovering in the air above the street of houses which are on ground level. Trees and yard below. Subtle debris drifting downward. House tilts slightly. Golden sunlight. End on wide heroic comedic reveal. STYLE NOTES Fast readable cuts, strong anticipation and payoff, expressive animation arcs, clean eye lines, comedic timing, whimsical realism, smooth camera transitions, polished render quality. NEGATIVE PROMPT text, watermark, logo, extra limbs, creepy face, broken anatomy, jittery motion, flicker, noisy render, dark scene, horror tone, low detail, stiff animation, warped room geometry, duplicate objects, camera stutter. #seedance #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️ #madewithrunway

Soul Motion labs

20,067 次观看 • 3 个月前

Created with seedance 2.0 on Yapper by using the prompt: Create a 15-second ultra-smooth anime-style gameplay cinematic inspired by a futuristic Japanese city exploration game. A young anime girl character with white/silver hair, wearing a stylish black-and-white futuristic outfit with short skirt, thigh-high socks, and combat-style shoes, is running and climbing across red rooftop houses in a dense modern Tokyo-inspired city. Environment: Bright sunny daytime, blue sky with soft clouds, realistic anime lighting, modern skyscrapers in background, cherry blossom trees near houses, urban Japanese neighborhood mixed with futuristic city towers. Rooftops have realistic red metal textures with sunlight reflections. Character movement: Fast agile parkour movement across rooftops. Smooth running → jump → wall climb → rooftop landing. Natural anime body physics, cloth movement, hair bounce, accurate foot placement. Movement should feel like real gameplay captured live from a AAA anime open-world action game. Camera style: Third-person gameplay camera positioned slightly behind character. Dynamic camera follow with slight handheld motion. Smooth tracking movement. Minor motion blur during jumps. Game HUD/UI visible on screen like a real anime action RPG. Mini-map top left, action buttons on right side, health/stamina bar bottom center. Sequence: 0–4s Character runs across rooftop while camera follows behind smoothly. 4–8s She jumps between rooftops with cinematic slow-motion mid-air moment. 8–12s Character grabs edge of higher rooftop and climbs upward naturally. 12–15s Wide gameplay shot showing futuristic city skyline behind her while she stops briefly on rooftop edge. Wind moves hair and clothes naturally. Style & Quality: Ultra detailed anime rendering, high-end cel shading mixed with realistic lighting, smooth gameplay animation, modern gacha game aesthetic, polished textures, soft bloom, sharp shadows, immersive open-world atmosphere, 60fps feeling, cinematic gameplay trailer quality. Negative Prompt: low quality, broken anatomy, floating body, extra limbs, blurry textures, bad hands, static camera, unrealistic movement, low fps, distorted face, glitch effects, ugly lighting, oversaturated colors, missing UI, stiff animation.

Created with seedance 2.0 on Yapper by using the prompt: Create a 15-second ultra-smooth anime-style gameplay cinematic inspired by a futuristic Japanese city exploration game. A young anime girl character with white/silver hair, wearing a stylish black-and-white futuristic outfit with short skirt, thigh-high socks, and combat-style shoes, is running and climbing across red rooftop houses in a dense modern Tokyo-inspired city. Environment: Bright sunny daytime, blue sky with soft clouds, realistic anime lighting, modern skyscrapers in background, cherry blossom trees near houses, urban Japanese neighborhood mixed with futuristic city towers. Rooftops have realistic red metal textures with sunlight reflections. Character movement: Fast agile parkour movement across rooftops. Smooth running → jump → wall climb → rooftop landing. Natural anime body physics, cloth movement, hair bounce, accurate foot placement. Movement should feel like real gameplay captured live from a AAA anime open-world action game. Camera style: Third-person gameplay camera positioned slightly behind character. Dynamic camera follow with slight handheld motion. Smooth tracking movement. Minor motion blur during jumps. Game HUD/UI visible on screen like a real anime action RPG. Mini-map top left, action buttons on right side, health/stamina bar bottom center. Sequence: 0–4s Character runs across rooftop while camera follows behind smoothly. 4–8s She jumps between rooftops with cinematic slow-motion mid-air moment. 8–12s Character grabs edge of higher rooftop and climbs upward naturally. 12–15s Wide gameplay shot showing futuristic city skyline behind her while she stops briefly on rooftop edge. Wind moves hair and clothes naturally. Style & Quality: Ultra detailed anime rendering, high-end cel shading mixed with realistic lighting, smooth gameplay animation, modern gacha game aesthetic, polished textures, soft bloom, sharp shadows, immersive open-world atmosphere, 60fps feeling, cinematic gameplay trailer quality. Negative Prompt: low quality, broken anatomy, floating body, extra limbs, blurry textures, bad hands, static camera, unrealistic movement, low fps, distorted face, glitch effects, ugly lighting, oversaturated colors, missing UI, stiff animation.

Anissa

20,332 次观看 • 3 个月前

Axie started in 2018. Creatures you could collect, battle, and raise while learning about a magical new technology called blockchain. Part of the original concept were axie homes called Terrariums. Places where your axies could live, get stronger, and harvest resources. Battles ended up getting prioritized instead, and Terrariums got shelved. But for eight years, that original idea held a special place in our hearts. Terrariums are a nod to that original dream. We're hard at work and our goal is to deliver the first version in late June. Here's how they'll work on day one: 1. You activate a plot of land. 2. You put your axies on it. 3. Every hour, the world ticks forward on its own. While you're away, your land is working. 4. It earns a reward called bAXS, the in-game currency that feeds back into the broader Axie economy. 5. To stay running, your land burns a fuel called Lunium. You get it two ways: buy packs, or let your land generate it slowly for free. 6. How much you earn scales with your axie power, a stat currently called Atia's Flame. Stronger (collectible) axies earn more points. More points means a bigger share of the prize pool. 7. Each land type has its own pool, split between everyone who owns that type. 8. There will be free terrariums that can be used to earn axie experience points (but not bAXS). These should also be useful for onboarding newcomers. The day-to-day is simple by design as we want to make sure that the gameplay is easy to grasp at first and doesn't become a grind for landowners. Learn more:

Axie started in 2018. Creatures you could collect, battle, and raise while learning about a magical new technology called blockchain. Part of the original concept were axie homes called Terrariums. Places where your axies could live, get stronger, and harvest resources. Battles ended up getting prioritized instead, and Terrariums got shelved. But for eight years, that original idea held a special place in our hearts. Terrariums are a nod to that original dream. We're hard at work and our goal is to deliver the first version in late June. Here's how they'll work on day one: 1. You activate a plot of land. 2. You put your axies on it. 3. Every hour, the world ticks forward on its own. While you're away, your land is working. 4. It earns a reward called bAXS, the in-game currency that feeds back into the broader Axie economy. 5. To stay running, your land burns a fuel called Lunium. You get it two ways: buy packs, or let your land generate it slowly for free. 6. How much you earn scales with your axie power, a stat currently called Atia's Flame. Stronger (collectible) axies earn more points. More points means a bigger share of the prize pool. 7. Each land type has its own pool, split between everyone who owns that type. 8. There will be free terrariums that can be used to earn axie experience points (but not bAXS). These should also be useful for onboarding newcomers. The day-to-day is simple by design as we want to make sure that the gameplay is easy to grasp at first and doesn't become a grind for landowners. Learn more:

Jihoz.ron

22,257 次观看 • 2 个月前

1️⃣ I did everything I could for Ritual I made all kinds of contributions. For 8 months, I contributed to Ritual, but I am extremely disappointed with their system. I made 181 contributions on X, bought Canva Premium to design infographics, and sent almost 17,000 messages. Despite all this, I have been permanently ignored for 8 months. Two of my friends, Ashish.Base.eth (❖,❖) (230 contributions) and KUNDAN (150 contributions), are facing the same treatment. Because of this unfair and favoritism based system, I decided to post on Twitter to expose it. When we raised our voice after 6 months of hard work and 150+ contributions, the so called Indian community handlers and famous team members labeled it as FUD and continued ignoring us. 2️⃣ When we asked the Indian community handlers why we were not given roles after 8 months, they said: “We can’t do anything, the team decides.” But when we contacted the team or mods, they said: “Go back to the Indian community handlers, they will help you.” If these handlers and big mods really can’t do anything, then why are they even here? They are here to build connections This system has been making fun of me and other hard working contributors. 3️⃣ Now look at the people who received roles based on “quality contributions.” Everything is available with proof. One person (Yaneul) got a role with only 15 very low quality contributions (mostly food and event screenshots). He even got Ritualist with just 25 contributions. This clearly shows either connections were used or it could be a mod’s second account. Another person (placboeffect) got a role with just 9 contributions. Many people received roles at 35, 40, 50, 55, 60 contributions, while I had 181 contributions. This is what they call “quality contributions.” 4️⃣ Now decide yourself: Who contributed more? Who worked harder? People contributing for 8 months to 1 year are ignored, while others get roles at 9 or 25 contributions. Yes, we may have wasted our time, but we did work hard. 5️⃣ I didn’t want to come to X. but after contributing like a mad person and getting ignored, I don’t want to waste my time anymore. 6️⃣ I don’t know if the Josh (❖,❖) admin is aware of how mods and team are damaging this project Claire (❖,❖) she just help her country mates doesn't care about other people. 7️⃣ What’s the worst that can happen? They will ban me, and my 8 months of contributions will be wasted. There was never respect for real contributors anyway. If I had good connections with mods, I wouldn’t have struggled this much. It’s not like Ritual is my life, or Web3 has only Ritual, or they gave me any role to take back. Now I will openly speak on X without fear. 8️⃣ Some fearful people will read this post. They know everything that’s happening, but they won’t comment because they are scared. I understand their fear. --- 9️⃣ Best of luck to those who keep working blindly despite seeing all this. And special luck to those who have roles because of good connections with mods. --- 🔟 Last The so called Indian community handlers are only mods by name. One of them is a paid event manager, doing the job only for money. Another handler sends one message after 10 days. These are the people leading us in Ritual, who don’t even know what they’re doing. Jez ritual/acc (❖,❖) dunken(ritual/acc) (❖,❖) Stefan | Mad Scientist (❖,❖) Hinata Sir W A R D E N you are mod in Donut and Dhillon saab π² you are mod at data haven, Choudhary (Ø,G) ꧁IP꧂ you are mod at Capx and sir Botsan (capx arc) you are Admin of Capx You should learn from ritual mods how to ignore real contributors and how to promote favourtism

1️⃣ I did everything I could for Ritual I made all kinds of contributions. For 8 months, I contributed to Ritual, but I am extremely disappointed with their system. I made 181 contributions on X, bought Canva Premium to design infographics, and sent almost 17,000 messages. Despite all this, I have been permanently ignored for 8 months. Two of my friends, Ashish.Base.eth (❖,❖) (230 contributions) and KUNDAN (150 contributions), are facing the same treatment. Because of this unfair and favoritism based system, I decided to post on Twitter to expose it. When we raised our voice after 6 months of hard work and 150+ contributions, the so called Indian community handlers and famous team members labeled it as FUD and continued ignoring us. 2️⃣ When we asked the Indian community handlers why we were not given roles after 8 months, they said: “We can’t do anything, the team decides.” But when we contacted the team or mods, they said: “Go back to the Indian community handlers, they will help you.” If these handlers and big mods really can’t do anything, then why are they even here? They are here to build connections This system has been making fun of me and other hard working contributors. 3️⃣ Now look at the people who received roles based on “quality contributions.” Everything is available with proof. One person (Yaneul) got a role with only 15 very low quality contributions (mostly food and event screenshots). He even got Ritualist with just 25 contributions. This clearly shows either connections were used or it could be a mod’s second account. Another person (placboeffect) got a role with just 9 contributions. Many people received roles at 35, 40, 50, 55, 60 contributions, while I had 181 contributions. This is what they call “quality contributions.” 4️⃣ Now decide yourself: Who contributed more? Who worked harder? People contributing for 8 months to 1 year are ignored, while others get roles at 9 or 25 contributions. Yes, we may have wasted our time, but we did work hard. 5️⃣ I didn’t want to come to X. but after contributing like a mad person and getting ignored, I don’t want to waste my time anymore. 6️⃣ I don’t know if the Josh (❖,❖) admin is aware of how mods and team are damaging this project Claire (❖,❖) she just help her country mates doesn't care about other people. 7️⃣ What’s the worst that can happen? They will ban me, and my 8 months of contributions will be wasted. There was never respect for real contributors anyway. If I had good connections with mods, I wouldn’t have struggled this much. It’s not like Ritual is my life, or Web3 has only Ritual, or they gave me any role to take back. Now I will openly speak on X without fear. 8️⃣ Some fearful people will read this post. They know everything that’s happening, but they won’t comment because they are scared. I understand their fear. --- 9️⃣ Best of luck to those who keep working blindly despite seeing all this. And special luck to those who have roles because of good connections with mods. --- 🔟 Last The so called Indian community handlers are only mods by name. One of them is a paid event manager, doing the job only for money. Another handler sends one message after 10 days. These are the people leading us in Ritual, who don’t even know what they’re doing. Jez ritual/acc (❖,❖) dunken(ritual/acc) (❖,❖) Stefan | Mad Scientist (❖,❖) Hinata Sir W A R D E N you are mod in Donut and Dhillon saab π² you are mod at data haven, Choudhary (Ø,G) ꧁IP꧂ you are mod at Capx and sir Botsan (capx arc) you are Admin of Capx You should learn from ritual mods how to ignore real contributors and how to promote favourtism

Legend

12,873 次观看 • 6 个月前

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

max fu

70,024 次观看 • 20 天前

2. Teasers / MV / Live presentations We believe all the content should include all members. Not some content, but all of it. We see some people excusing the exclusion of Lee Know in some content because "he will appear in other content", we don't understand why he would be excluded out of any content when the group includes 8 members. There isn't an excuse for this to happen all the time. We will only talk about recent releases and God's Menu to not make this even longer. a) Gods Menu - A title track where they gave him zero lines and screen time (song that they continue to sing, so the company could have made a redistribution of the lines). b) Megaverse - They gave him lines in the initial release, but then they cut his part to 3 seconds, and decided to delete his center part leaving him with half of a line. c) Hall Of Fame - Every live presentation they would cut Lee Know on his own part recording from below all of the other members and only listening to Lee Know's voice without being able to look at him. d) S-Class - They stopped recording the kick he does and instead they record the other members, Lee Know sings there. e) JJAM - When it was dance racha time, Lee Know got almost no time, during the life presentation the moment he goes to the center he says his line "I know..." and while he says it, the screen gets black, so he doesn't have that time on screen, later he is placed at the back covered during the dance break. He is the dance leader. f) Walkin on Water' - During the live presentation, they decided to record everyone on his part, and cut it from his own fancam. g) Recent teasers - He was completely excluded from the first teaser and only included in the second one, he got no solo recording on the MV like the other members. h) Giant - There is a part on the video where all the members are shown, Lee Know is covered and the lights are lowered where he is, making him invisible. During the live presentation, they record other members on his part, they put the dance focus on others, being the only part he has where he sings alone. i) YOUTH - After the release of the MV, the company decided to edit the video causing views to freeze and deleting a very important part where it thanked the people involved. The time from when the video was finished to when it was published was enough to arrange all the details, and the part deleted was so big, it was impossible to miss it. This happened before with his other individual work “Dawn”, which was deleted after some time, and re-uploaded, deleting all the views it had accumulated. This means one of two things, the company puts less interest and effort in Lee Know's work, or the company is purposefully hindering Lee Know's work. Either of the two is unacceptable by a company with so many resources and that claims to be a leader in the industry. This only shows a lack of professionalism and care. j) Dance leader - We know he is the dance leader, and K-stays and the members have talked a lot about how involved he is and how hard he works in that position, but the company refuses to include any footage of him doing it, and even cuts the parts where he gives his all. Just recently K-Stays were raving about how hard Lee Know worked as the dance leader and how much effort it took, One Label cut all of that footage from the Talker. It appears they don't want stays to look at anything he does, or to not give him recognition for anything.

2. Teasers / MV / Live presentations We believe all the content should include all members. Not some content, but all of it. We see some people excusing the exclusion of Lee Know in some content because "he will appear in other content", we don't understand why he would be excluded out of any content when the group includes 8 members. There isn't an excuse for this to happen all the time. We will only talk about recent releases and God's Menu to not make this even longer. a) Gods Menu - A title track where they gave him zero lines and screen time (song that they continue to sing, so the company could have made a redistribution of the lines). b) Megaverse - They gave him lines in the initial release, but then they cut his part to 3 seconds, and decided to delete his center part leaving him with half of a line. c) Hall Of Fame - Every live presentation they would cut Lee Know on his own part recording from below all of the other members and only listening to Lee Know's voice without being able to look at him. d) S-Class - They stopped recording the kick he does and instead they record the other members, Lee Know sings there. e) JJAM - When it was dance racha time, Lee Know got almost no time, during the life presentation the moment he goes to the center he says his line "I know..." and while he says it, the screen gets black, so he doesn't have that time on screen, later he is placed at the back covered during the dance break. He is the dance leader. f) Walkin on Water' - During the live presentation, they decided to record everyone on his part, and cut it from his own fancam. g) Recent teasers - He was completely excluded from the first teaser and only included in the second one, he got no solo recording on the MV like the other members. h) Giant - There is a part on the video where all the members are shown, Lee Know is covered and the lights are lowered where he is, making him invisible. During the live presentation, they record other members on his part, they put the dance focus on others, being the only part he has where he sings alone. i) YOUTH - After the release of the MV, the company decided to edit the video causing views to freeze and deleting a very important part where it thanked the people involved. The time from when the video was finished to when it was published was enough to arrange all the details, and the part deleted was so big, it was impossible to miss it. This happened before with his other individual work “Dawn”, which was deleted after some time, and re-uploaded, deleting all the views it had accumulated. This means one of two things, the company puts less interest and effort in Lee Know's work, or the company is purposefully hindering Lee Know's work. Either of the two is unacceptable by a company with so many resources and that claims to be a leader in the industry. This only shows a lack of professionalism and care. j) Dance leader - We know he is the dance leader, and K-stays and the members have talked a lot about how involved he is and how hard he works in that position, but the company refuses to include any footage of him doing it, and even cuts the parts where he gives his all. Just recently K-Stays were raving about how hard Lee Know worked as the dance leader and how much effort it took, One Label cut all of that footage from the Talker. It appears they don't want stays to look at anything he does, or to not give him recognition for anything.

LEE KNOW 리노 GLOBAL ★

21,011 次观看 • 1 年前

Everyone's sleeping on image-to-3D AI models. They can make your app look incredibly unique, with just a little effort. Here's how. This is my calorie tracker, built in a week with nothing but prompting. Just Claude Code + a couple APIs. The visuals are all AI-generated. I'll be sharing the full workflow + all the crazy technical stuff Claude and I did to make this work, so nobody has to struggle through it like me. Deep dive coming soon! Till then, this is the high-level idea: 1. Get a clean image of the food (or whatever your asset is) - In my app, the user describes foods via text, or attaches images (or both) - If text, an LLM extracts the food description and formats it into a specific prompt I tuned for this design, and we generate an image using Z-Image Turbo through fal - If image, we do the same thing but with FLUX.2 [dev] to edit the user image into our reference design - Originally, both used Google Nano Banana, but switching to open models cut costs and latency a ton 2. Gaussian splatting (2D image → 3D model) - I tried various 2D-to-3D options on fal and ended up with TripoSplat as my preferred balance of speed, cost, latency; this turns an image into a 3D model that looks super high quality (link below) - The app displays the 2D image while our backend generates the 3D splat - We "groom" the splat to reduce size and load time by culling low-opacity/scale points 3. Render efficiently on device Originally, it looked great but ran at 10 FPS. Getting to 120 FPS was a crazy journey. TL;DR: - SwiftUI had to go; it forced us to render each asset in independent MTKViews, which wasn't workable - Instead, we composite every dish into one full-bleed CAMetalLayer using MetalSplatter (link below) - We had to make some optimizations within MetalSplatter's code too, to reduce the overhead of sorting points per render Then I added some finishing touches like the subtle rotation and parallax as they move around. I think it turned out pretty cool :) Overall, this took some effort, but we still got it done in less than a day. Hopefully your agent can follow in the footsteps of mine and do it much faster. Keep an eye out for the bigger writeup, which'll give your agent everything it needs. If you have any questions, drop em below!

Everyone's sleeping on image-to-3D AI models. They can make your app look incredibly unique, with just a little effort. Here's how. This is my calorie tracker, built in a week with nothing but prompting. Just Claude Code + a couple APIs. The visuals are all AI-generated. I'll be sharing the full workflow + all the crazy technical stuff Claude and I did to make this work, so nobody has to struggle through it like me. Deep dive coming soon! Till then, this is the high-level idea: 1. Get a clean image of the food (or whatever your asset is) - In my app, the user describes foods via text, or attaches images (or both) - If text, an LLM extracts the food description and formats it into a specific prompt I tuned for this design, and we generate an image using Z-Image Turbo through fal - If image, we do the same thing but with FLUX.2 [dev] to edit the user image into our reference design - Originally, both used Google Nano Banana, but switching to open models cut costs and latency a ton 2. Gaussian splatting (2D image → 3D model) - I tried various 2D-to-3D options on fal and ended up with TripoSplat as my preferred balance of speed, cost, latency; this turns an image into a 3D model that looks super high quality (link below) - The app displays the 2D image while our backend generates the 3D splat - We "groom" the splat to reduce size and load time by culling low-opacity/scale points 3. Render efficiently on device Originally, it looked great but ran at 10 FPS. Getting to 120 FPS was a crazy journey. TL;DR: - SwiftUI had to go; it forced us to render each asset in independent MTKViews, which wasn't workable - Instead, we composite every dish into one full-bleed CAMetalLayer using MetalSplatter (link below) - We had to make some optimizations within MetalSplatter's code too, to reduce the overhead of sorting points per render Then I added some finishing touches like the subtle rotation and parallax as they move around. I think it turned out pretty cool :) Overall, this took some effort, but we still got it done in less than a day. Hopefully your agent can follow in the footsteps of mine and do it much faster. Keep an eye out for the bigger writeup, which'll give your agent everything it needs. If you have any questions, drop em below!

Anshu

19,931 次观看 • 1 个月前

Not every hero wears a cape. Some just share their bread. Created with Seedance 2.0 + GPT Image 2 on OpenArt Prompt: TITLE The Piece of Bread REFERENCE Use the provided combined character sheet and storyboard board as the main visual reference. Follow the same woman design, stray cat design, bread, sidewalk, low wall, cloth shoulder bag, water bottle, warm sunset lighting, and emotional story beats. Keep the woman and cat visually consistent in every shot. Do not add extra characters. Do not change the core story. SUBJECTS Woman: A young woman in her early 20s with shoulder-length slightly messy dark brown hair loosely tied back, a soft oval face, gentle expressive anime eyes, and a tired but kind expression. She wears a faded oversized hoodie, loose trousers, worn sneakers, and carries a simple cloth shoulder bag. She appears hungry, humble, compassionate, and resilient. Her acting should remain subtle, natural, and emotional. Cat: A small original stray cat with short charcoal-gray fur, a cream-colored chest and paws, one ear with a tiny notch, a long curved tail, and expressive anime-style eyes. The cat feels timid, hungry, hopeful, innocent, and lovable. It begins cautious and hungry, then gradually becomes trusting and comforted. Bread: One small round bread bun. This is the central story object. The woman breaks it into two pieces and shares one half with the cat. ENVIRONMENT Quiet city sidewalk at sunset. Low concrete wall behind them. Soft blurred road and distant buildings in the background. A simple cloth shoulder bag and a small water bottle placed beside the woman. Warm golden-hour light with long shadows. Peaceful, lonely, emotional atmosphere. STYLE 2D Japanese anime short film with a hand-drawn aesthetic. Clean inked outlines, flat-to-soft cel shading, simplified shadow blocks, no CG or 3D rendering. Soft emotional storytelling. Warm golden-hour lighting with painterly anime backgrounds. Expressive anime eyes with subtle, believable facial acting. Gentle cinematic movement with a traditional anime animation feel. No 3D render. No CGI. No Pixar-style shading. No photorealism. No comedy. No chaos. No copyrighted characters. No text. No subtitles. No logos. No social media UI. No background music—only natural ambient sound effects. CAMERA 16:9 cinematic framing. Use close-ups and medium shots to emphasize emotion. End with one wide cinematic shot. Slow push-ins and gentle cuts. Shallow depth of field. Keep both characters clear and expressive. Avoid fast movement or exaggerated actions. TIMELINE 0:00–0:02 Extreme close-up. The woman slowly lifts a small bread bun toward her mouth. She is about to take a bite. Warm sunset light softly illuminates her face and hands. Her expression shows hunger, exhaustion, and quiet resilience. She pauses just before eating. SFX: quiet street ambience, soft breathing, gentle hand movement. --- 0:02–0:04 Medium shot from the woman's side. A small stray cat sits a few feet away on the sidewalk. The cat gazes at the bread with sad, hopeful eyes. It remains still, timid, and cautious. The woman notices the cat and slowly lowers the bread. SFX: soft cat meow, light breeze, distant city ambience. --- 0:04–0:06 Close-up of the woman's hands. She slowly breaks the bread into two pieces. Tiny crumbs fall gently. The moment feels like an important emotional decision. Her hands pause briefly after splitting the bread. SFX: soft bread tearing, tiny crumbs falling. --- 0:06–0:08 Medium side shot. The woman gently extends one half of the bread toward the cat. The cat looks at the bread, then into the woman's eyes. It is nervous but curious. The woman gives a soft, reassuring smile and keeps her hand perfectly still. SFX: gentle hand movement, cat sniffing, quiet breeze. --- 0:08–0:10 Low close shot near the cat. The cat slowly steps forward. It carefully takes the bread from the woman's hand. The woman remains calm and gentle. The cat begins eating, and its expression gradually softens into trust. SFX: tiny paw steps, soft bite, gentle chewing. --- 0:10–0:12 Medium shot. The woman sits comfortably on the sidewalk. The cat comes closer and sits beside her. She gently strokes the cat's head. The cat leans into her hand and relaxes. The moment feels warm, peaceful, and safe. SFX: soft fur brushing, content cat purring, distant street ambience. --- 0:12–0:14 Close emotional shot. The cat rests its head on the woman's lap. She looks down with a warm, slightly bittersweet smile. She still holds her own half of the bread in her other hand. Both appear comforted, no longer feeling completely alone. SFX: quiet breathing, soft breeze, distant city sounds. --- 0:14–0:15 Wide sunset shot from behind. The woman and the cat sit side by side facing the glowing sunset. Their long shadows stretch across the sidewalk. The cloth shoulder bag and water bottle rest nearby. The final frame feels peaceful, hopeful, and heartwarming. SFX: soft wind, distant street ambience, gentle satisfied cat purr. Storyboard Prompt: Create a single horizontal animation pre-production board for an original emotional 2D anime-style short film titled "The Piece of Bread." The output must be one image only and combine: 1. a character design sheet 2. a hand-drawn storyboard page. IMPORTANT Do not make the woman or cat resemble any reference screenshots or existing characters. Keep the same emotional story concept, but create completely original character designs, unique silhouettes, and distinct facial features. No copyrighted characters or close resemblance to any existing animated films or anime. STYLE Professional anime production board. Hand-drawn storyboard style with loose pencil sketch lines, light gray shading, red panel borders, blue motion arrows, and short handwritten production notes. Rendered with anime-inspired linework featuring clean inked outlines, expressive eyes, and simplified shading blocks. It should look like a real animation studio planning sheet, not a polished final illustration. LAYOUT Clean horizontal 16:9 board divided into two sections. SECTION A: CHARACTER SHEET Show both characters consistently. Woman A young woman in her early 20s with shoulder-length slightly messy dark brown hair tied loosely at the back, a soft oval face, gentle expressive anime eyes, and a tired but kind expression. She wears a faded oversized hoodie, loose trousers, worn sneakers, and carries a simple cloth shoulder bag. She should appear humble, exhausted, compassionate, and resilient. Show: front view side view 3/4 view expressions: hungry, thoughtful, soft smile, emotional pose holding a small bread bun pose offering bread Cat A small original stray cat with short charcoal-gray fur, a cream-colored chest and paws, slightly oversized anime-style eyes, one ear with a tiny notch, and a long curved tail. The cat should feel timid, hungry, hopeful, innocent, and lovable. Show: front view side view 3/4 view expressions: sad, shy, hopeful, happy, trusting sitting pose taking bread pose cuddling beside the woman Include tiny handwritten notes and a few small color swatches. SECTION B: STORYBOARD Create 8 cinematic storyboard panels arranged neatly in a grid. Keep character designs consistent throughout. Each panel should include simple handwritten shot notes and blue arrows indicating motion. STORY BEATS 1. Close-up of the woman about to take a bite from a small bread bun during sunset. 2. Medium shot of the hungry stray cat sitting nearby, staring at the bread with sad, hopeful eyes. 3. Close-up of the woman breaking the bread into two pieces as crumbs fall. 4. Medium shot of the woman offering one piece to the cat. 5. Close shot of the cat cautiously stepping forward and taking the bread. 6. Medium shot of the cat sitting beside the woman while she gently pets it. 7. Emotional close-up of the cat resting its head on the woman's lap. 8. Wide sunset shot from behind, showing the woman and cat sitting together with a cloth bag and water bottle beside them. ENVIRONMENT Quiet city sidewalk beside a low wall, soft urban background, cloth shoulder bag, small water bottle, warm golden sunset lighting, peaceful atmosphere, and an emotional mood. FINAL GOAL Create a dense, clean, production-ready anime pre-production board combining a character design sheet and storyboard in a single 16:9 horizontal image, conveying a heartfelt story of compassion and kindness through completely original character designs.

Not every hero wears a cape. Some just share their bread. Created with Seedance 2.0 + GPT Image 2 on OpenArt Prompt: TITLE The Piece of Bread REFERENCE Use the provided combined character sheet and storyboard board as the main visual reference. Follow the same woman design, stray cat design, bread, sidewalk, low wall, cloth shoulder bag, water bottle, warm sunset lighting, and emotional story beats. Keep the woman and cat visually consistent in every shot. Do not add extra characters. Do not change the core story. SUBJECTS Woman: A young woman in her early 20s with shoulder-length slightly messy dark brown hair loosely tied back, a soft oval face, gentle expressive anime eyes, and a tired but kind expression. She wears a faded oversized hoodie, loose trousers, worn sneakers, and carries a simple cloth shoulder bag. She appears hungry, humble, compassionate, and resilient. Her acting should remain subtle, natural, and emotional. Cat: A small original stray cat with short charcoal-gray fur, a cream-colored chest and paws, one ear with a tiny notch, a long curved tail, and expressive anime-style eyes. The cat feels timid, hungry, hopeful, innocent, and lovable. It begins cautious and hungry, then gradually becomes trusting and comforted. Bread: One small round bread bun. This is the central story object. The woman breaks it into two pieces and shares one half with the cat. ENVIRONMENT Quiet city sidewalk at sunset. Low concrete wall behind them. Soft blurred road and distant buildings in the background. A simple cloth shoulder bag and a small water bottle placed beside the woman. Warm golden-hour light with long shadows. Peaceful, lonely, emotional atmosphere. STYLE 2D Japanese anime short film with a hand-drawn aesthetic. Clean inked outlines, flat-to-soft cel shading, simplified shadow blocks, no CG or 3D rendering. Soft emotional storytelling. Warm golden-hour lighting with painterly anime backgrounds. Expressive anime eyes with subtle, believable facial acting. Gentle cinematic movement with a traditional anime animation feel. No 3D render. No CGI. No Pixar-style shading. No photorealism. No comedy. No chaos. No copyrighted characters. No text. No subtitles. No logos. No social media UI. No background music—only natural ambient sound effects. CAMERA 16:9 cinematic framing. Use close-ups and medium shots to emphasize emotion. End with one wide cinematic shot. Slow push-ins and gentle cuts. Shallow depth of field. Keep both characters clear and expressive. Avoid fast movement or exaggerated actions. TIMELINE 0:00–0:02 Extreme close-up. The woman slowly lifts a small bread bun toward her mouth. She is about to take a bite. Warm sunset light softly illuminates her face and hands. Her expression shows hunger, exhaustion, and quiet resilience. She pauses just before eating. SFX: quiet street ambience, soft breathing, gentle hand movement. --- 0:02–0:04 Medium shot from the woman's side. A small stray cat sits a few feet away on the sidewalk. The cat gazes at the bread with sad, hopeful eyes. It remains still, timid, and cautious. The woman notices the cat and slowly lowers the bread. SFX: soft cat meow, light breeze, distant city ambience. --- 0:04–0:06 Close-up of the woman's hands. She slowly breaks the bread into two pieces. Tiny crumbs fall gently. The moment feels like an important emotional decision. Her hands pause briefly after splitting the bread. SFX: soft bread tearing, tiny crumbs falling. --- 0:06–0:08 Medium side shot. The woman gently extends one half of the bread toward the cat. The cat looks at the bread, then into the woman's eyes. It is nervous but curious. The woman gives a soft, reassuring smile and keeps her hand perfectly still. SFX: gentle hand movement, cat sniffing, quiet breeze. --- 0:08–0:10 Low close shot near the cat. The cat slowly steps forward. It carefully takes the bread from the woman's hand. The woman remains calm and gentle. The cat begins eating, and its expression gradually softens into trust. SFX: tiny paw steps, soft bite, gentle chewing. --- 0:10–0:12 Medium shot. The woman sits comfortably on the sidewalk. The cat comes closer and sits beside her. She gently strokes the cat's head. The cat leans into her hand and relaxes. The moment feels warm, peaceful, and safe. SFX: soft fur brushing, content cat purring, distant street ambience. --- 0:12–0:14 Close emotional shot. The cat rests its head on the woman's lap. She looks down with a warm, slightly bittersweet smile. She still holds her own half of the bread in her other hand. Both appear comforted, no longer feeling completely alone. SFX: quiet breathing, soft breeze, distant city sounds. --- 0:14–0:15 Wide sunset shot from behind. The woman and the cat sit side by side facing the glowing sunset. Their long shadows stretch across the sidewalk. The cloth shoulder bag and water bottle rest nearby. The final frame feels peaceful, hopeful, and heartwarming. SFX: soft wind, distant street ambience, gentle satisfied cat purr. Storyboard Prompt: Create a single horizontal animation pre-production board for an original emotional 2D anime-style short film titled "The Piece of Bread." The output must be one image only and combine: 1. a character design sheet 2. a hand-drawn storyboard page. IMPORTANT Do not make the woman or cat resemble any reference screenshots or existing characters. Keep the same emotional story concept, but create completely original character designs, unique silhouettes, and distinct facial features. No copyrighted characters or close resemblance to any existing animated films or anime. STYLE Professional anime production board. Hand-drawn storyboard style with loose pencil sketch lines, light gray shading, red panel borders, blue motion arrows, and short handwritten production notes. Rendered with anime-inspired linework featuring clean inked outlines, expressive eyes, and simplified shading blocks. It should look like a real animation studio planning sheet, not a polished final illustration. LAYOUT Clean horizontal 16:9 board divided into two sections. SECTION A: CHARACTER SHEET Show both characters consistently. Woman A young woman in her early 20s with shoulder-length slightly messy dark brown hair tied loosely at the back, a soft oval face, gentle expressive anime eyes, and a tired but kind expression. She wears a faded oversized hoodie, loose trousers, worn sneakers, and carries a simple cloth shoulder bag. She should appear humble, exhausted, compassionate, and resilient. Show: front view side view 3/4 view expressions: hungry, thoughtful, soft smile, emotional pose holding a small bread bun pose offering bread Cat A small original stray cat with short charcoal-gray fur, a cream-colored chest and paws, slightly oversized anime-style eyes, one ear with a tiny notch, and a long curved tail. The cat should feel timid, hungry, hopeful, innocent, and lovable. Show: front view side view 3/4 view expressions: sad, shy, hopeful, happy, trusting sitting pose taking bread pose cuddling beside the woman Include tiny handwritten notes and a few small color swatches. SECTION B: STORYBOARD Create 8 cinematic storyboard panels arranged neatly in a grid. Keep character designs consistent throughout. Each panel should include simple handwritten shot notes and blue arrows indicating motion. STORY BEATS 1. Close-up of the woman about to take a bite from a small bread bun during sunset. 2. Medium shot of the hungry stray cat sitting nearby, staring at the bread with sad, hopeful eyes. 3. Close-up of the woman breaking the bread into two pieces as crumbs fall. 4. Medium shot of the woman offering one piece to the cat. 5. Close shot of the cat cautiously stepping forward and taking the bread. 6. Medium shot of the cat sitting beside the woman while she gently pets it. 7. Emotional close-up of the cat resting its head on the woman's lap. 8. Wide sunset shot from behind, showing the woman and cat sitting together with a cloth bag and water bottle beside them. ENVIRONMENT Quiet city sidewalk beside a low wall, soft urban background, cloth shoulder bag, small water bottle, warm golden sunset lighting, peaceful atmosphere, and an emotional mood. FINAL GOAL Create a dense, clean, production-ready anime pre-production board combining a character design sheet and storyboard in a single 16:9 horizontal image, conveying a heartfelt story of compassion and kindness through completely original character designs.

Zara

22,997 次观看 • 29 天前

hair loss after 40 isn't sudden and it's almost never random it's the result of a long, slow biological shift that most men don't see coming until it's already well underway and by the time they notice, they reach for the first product they find and wonder why nothing works here's what's actually happening: at the center of it is DHT, dihydrotestosterone, a potent androgen your body converts from testosterone via an enzyme called 5-alpha reductase DHT binds to receptors in your hair follicles, specifically in areas like the temples and crown, and slowly miniaturizes them it shortens the growth phase of each hair cycle and extends the resting phase over time your strands get thinner, weaker, and eventually the follicle goes dormant but dormant isn't dead that distinction matters more than most men realize the problem is DHT isn't working alone alongside the hormonal shift, your scalp environment is also deteriorating and this is the part almost nobody talks about chronic low-grade inflammation, fibrosis (the gradual stiffening of scalp tissue), and reduced microcirculation all compound the damage your follicles can't receive oxygen properly, can't absorb nutrients, can't respond to hormonal signals the way they used to so even follicles that aren't fully miniaturized start struggling to produce thick, pigmented hair which creates the illusion that the loss is worse or more permanent than it actually is then there's the cellular layer your dermal papilla cells, the structures at the base of each follicle that regulate hair growth, lose efficiency with age oxidative stress, reduced ATP production, slower cellular turnover it means even if you control DHT, the follicle still needs active stimulation to re-enter a real growth phase this is where most approaches break down they pick one variable, usually DHT and treat it in isolation but hair loss is a multi-variable problem hormonal, vascular, cellular, structural, all happening at once fix one and ignore the rest and you'll get limited results at best so what actually works mechanical stimulation is one of the most underrated tools available microneedling creates controlled micro-injury to the scalp, which triggers your body to upregulate growth factors like VEGF and activates something called the Wnt/β-catenin signaling pathway, both of which are directly involved in initiating the growth phase and increasing follicular size it essentially wakes up follicles that have been suppressed but not destroyed it also increases blood flow and improves absorption of anything topical you apply afterward which brings up vascularization because hair follicles are some of the most metabolically active structures in the body they need a consistent supply of oxygen and nutrients to sustain growth anything that increases nitric oxide production, reduces calcification, and improves blood flow to the scalp will have an outsized impact on density and thickness over time internal support matters too, especially after 40 your body's ability to absorb and use key nutrients declines with age protein, iron, zinc, vitamin D, B vitamins, deficiencies in any of these directly affect keratin production, follicular cycling, and hair shaft integrity if you're not addressing what's happening internally, topical and external interventions will always hit a ceiling and then there's the timeline issue most men quit too early because they misunderstand how hair growth actually works each follicle cycles independently through growth, transition, and resting phases that span months you might see reduced shedding or improved thickness at 8–12 weeks but visible density changes take 4-6 months of consistent effort full results often take closer to 9-12 months the men who get results aren't doing something exotic they're doing the right things long enough and broadly enough to actually shift the biology that's the real unlock not a miracle ingredient, not a single device, a coordinated protocol that hits the hormonal, vascular, cellular, and structural levers at the same time most men fail not because they didn't try but because they tried one thing at a time, in fragments, for not long enough, and concluded that regrowth wasn't possible for them it usually is follicles that have been dormant for years can still be reactivated but only if the inhibitory signals are reduced and the growth environment is rebuilt that requires treating this like the biological process it is not a cosmetic problem you mask with a spray the men who approach it that way are the ones who don't just stop the progression they reverse it. and what makes that possible isn't just understanding the biology it's consistently applying a method that can actually influence it at the cellular level that's where low-level laser therapy comes in LLLT is one of the few clinically studied interventions shown to stimulate mitochondrial activity inside dermal papilla cells, increase ATP production, and improve blood flow to the scalp all of which directly support the transition of follicles back into the anagen phase devices like the Kiierr laser cap are built around this principle specific wavelengths of red light penetrate the scalp and activate these biological pathways in a way that's non-invasive and sustainable over long periods of use which matters because hair regrowth isn't about intensity it's about consistency tools that make consistency effortless will always outperform ones that rely on motivation or sporadic effort when you layer this kind of stimulation on top of DHT management, improved scalp health, and proper internal support, it stops being a single solution it becomes part of a system that actually aligns with how hair growth works and results from that kind of system compound over time instead of plateauing early like most surface-level treatments do the difference isn't whether you're over 40 it's whether you're finally addressing the problem at the level it was created

hair loss after 40 isn't sudden and it's almost never random it's the result of a long, slow biological shift that most men don't see coming until it's already well underway and by the time they notice, they reach for the first product they find and wonder why nothing works here's what's actually happening: at the center of it is DHT, dihydrotestosterone, a potent androgen your body converts from testosterone via an enzyme called 5-alpha reductase DHT binds to receptors in your hair follicles, specifically in areas like the temples and crown, and slowly miniaturizes them it shortens the growth phase of each hair cycle and extends the resting phase over time your strands get thinner, weaker, and eventually the follicle goes dormant but dormant isn't dead that distinction matters more than most men realize the problem is DHT isn't working alone alongside the hormonal shift, your scalp environment is also deteriorating and this is the part almost nobody talks about chronic low-grade inflammation, fibrosis (the gradual stiffening of scalp tissue), and reduced microcirculation all compound the damage your follicles can't receive oxygen properly, can't absorb nutrients, can't respond to hormonal signals the way they used to so even follicles that aren't fully miniaturized start struggling to produce thick, pigmented hair which creates the illusion that the loss is worse or more permanent than it actually is then there's the cellular layer your dermal papilla cells, the structures at the base of each follicle that regulate hair growth, lose efficiency with age oxidative stress, reduced ATP production, slower cellular turnover it means even if you control DHT, the follicle still needs active stimulation to re-enter a real growth phase this is where most approaches break down they pick one variable, usually DHT and treat it in isolation but hair loss is a multi-variable problem hormonal, vascular, cellular, structural, all happening at once fix one and ignore the rest and you'll get limited results at best so what actually works mechanical stimulation is one of the most underrated tools available microneedling creates controlled micro-injury to the scalp, which triggers your body to upregulate growth factors like VEGF and activates something called the Wnt/β-catenin signaling pathway, both of which are directly involved in initiating the growth phase and increasing follicular size it essentially wakes up follicles that have been suppressed but not destroyed it also increases blood flow and improves absorption of anything topical you apply afterward which brings up vascularization because hair follicles are some of the most metabolically active structures in the body they need a consistent supply of oxygen and nutrients to sustain growth anything that increases nitric oxide production, reduces calcification, and improves blood flow to the scalp will have an outsized impact on density and thickness over time internal support matters too, especially after 40 your body's ability to absorb and use key nutrients declines with age protein, iron, zinc, vitamin D, B vitamins, deficiencies in any of these directly affect keratin production, follicular cycling, and hair shaft integrity if you're not addressing what's happening internally, topical and external interventions will always hit a ceiling and then there's the timeline issue most men quit too early because they misunderstand how hair growth actually works each follicle cycles independently through growth, transition, and resting phases that span months you might see reduced shedding or improved thickness at 8–12 weeks but visible density changes take 4-6 months of consistent effort full results often take closer to 9-12 months the men who get results aren't doing something exotic they're doing the right things long enough and broadly enough to actually shift the biology that's the real unlock not a miracle ingredient, not a single device, a coordinated protocol that hits the hormonal, vascular, cellular, and structural levers at the same time most men fail not because they didn't try but because they tried one thing at a time, in fragments, for not long enough, and concluded that regrowth wasn't possible for them it usually is follicles that have been dormant for years can still be reactivated but only if the inhibitory signals are reduced and the growth environment is rebuilt that requires treating this like the biological process it is not a cosmetic problem you mask with a spray the men who approach it that way are the ones who don't just stop the progression they reverse it. and what makes that possible isn't just understanding the biology it's consistently applying a method that can actually influence it at the cellular level that's where low-level laser therapy comes in LLLT is one of the few clinically studied interventions shown to stimulate mitochondrial activity inside dermal papilla cells, increase ATP production, and improve blood flow to the scalp all of which directly support the transition of follicles back into the anagen phase devices like the Kiierr laser cap are built around this principle specific wavelengths of red light penetrate the scalp and activate these biological pathways in a way that's non-invasive and sustainable over long periods of use which matters because hair regrowth isn't about intensity it's about consistency tools that make consistency effortless will always outperform ones that rely on motivation or sporadic effort when you layer this kind of stimulation on top of DHT management, improved scalp health, and proper internal support, it stops being a single solution it becomes part of a system that actually aligns with how hair growth works and results from that kind of system compound over time instead of plateauing early like most surface-level treatments do the difference isn't whether you're over 40 it's whether you're finally addressing the problem at the level it was created

Kiierr

28,418 次观看 • 4 个月前