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This breakdance routine is better than I remember. Maestro v2.1.6 is out! FREE LOCAL OPEN • Viggle Animate speed & memory improvements • Improved AI Prompt Enhancement • H3 Fused 4-step; option to 12 steps • Other fixes

Blaine Brown

18,214 subscribers

26,637 次观看 • 12 天前 •via X (Twitter)

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A line in AI video was crossed, in my experiments with just the web interface, H3 Max can now create reasonably high quality AI video in less time than it takes you to watch it. This is realtime from the moment I pushed the "generate" button (and also includes prompt enhancement)

A line in AI video was crossed, in my experiments with just the web interface, H3 Max can now create reasonably high quality AI video in less time than it takes you to watch it. This is realtime from the moment I pushed the "generate" button (and also includes prompt enhancement)

Ethan Mollick

89,671 次观看 • 27 天前

Well, this is dasting. I put the meme below into Grok Imagine and simply clicked the option to turn it into a video. No script. No prompt. (Other than the words on the meme). Grok finished it out by having President Trump say “our military is ready and we will prevail.” Noted. 👀

Well, this is dasting. I put the meme below into Grok Imagine and simply clicked the option to turn it into a video. No script. No prompt. (Other than the words on the meme). Grok finished it out by having President Trump say “our military is ready and we will prevail.” Noted. 👀

Paul Fleuret

25,836 次观看 • 3 个月前

Start to explore 3rd person shooting game simulation by using Minimax H3. Here is what I have found: 01. A lot of fun. 02. Comparing to other models, H3 has a better understanding of the game mechanic. - Great 03. Be careful with prompt "QTE". Many models would treat QTE section as a CG scene. I think that is because of the training data. - Great 04. Prompt fine tuning needed. I began with my own prompts with many challengeable elements: QTE, 3rd person camera movement, high kick and execution kill. In the end, I used ChatGPT to refine the prompts by describing the fight scene as a more sequential, step-by-step progression. -Good PS: the character in this demo is XiXi ( from Error My Love ) Will share more examples later. Great work MiniMax Design (H3)

Start to explore 3rd person shooting game simulation by using Minimax H3. Here is what I have found: 01. A lot of fun. 02. Comparing to other models, H3 has a better understanding of the game mechanic. - Great 03. Be careful with prompt "QTE". Many models would treat QTE section as a CG scene. I think that is because of the training data. - Great 04. Prompt fine tuning needed. I began with my own prompts with many challengeable elements: QTE, 3rd person camera movement, high kick and execution kill. In the end, I used ChatGPT to refine the prompts by describing the fight scene as a more sequential, step-by-step progression. -Good PS: the character in this demo is XiXi ( from Error My Love ) Will share more examples later. Great work MiniMax Design (H3)

Jim HuiHui

13,150 次观看 • 1 个月前

Running out of memory used to be a common headache when running molecular simulations with neural network potentials. Not any more. Here Orb is simulating over half a million atoms on a single GPU (H200). This is a fully solvated COVID spike protein. (The trick is to specify brute_force_knn=False in the calculator.) This is more than an order of magnitude larger than some other universal models. I can get over 7,000 steps of molecular dynamics per day with it.

Running out of memory used to be a common headache when running molecular simulations with neural network potentials. Not any more. Here Orb is simulating over half a million atoms on a single GPU (H200). This is a fully solvated COVID spike protein. (The trick is to specify brute_force_knn=False in the calculator.) This is more than an order of magnitude larger than some other universal models. I can get over 7,000 steps of molecular dynamics per day with it.

Tim Duignan

106,630 次观看 • 1 年前

Crimson Desert Patch 1.01 is out now. Patch highlights: • Increased fast travel loading speed • Locked doors now require confirmation before spending a key • Gliding now uses less stamina • Improved movement controls - You can now hold down the Run key OR tap it once to increase speed • Cooking is now faster with a "Make Now" option • Added 5 summonable mounts • Added a Refinement Coin that instantly upgrades gear up to Level 4 • Added a 'Store All Selected' items function • The Mining Knuckledrill now collects ore immediately • The Demenissian Chainsaw now collects timber immediately • Can now store more than 240 items • Improved Photo Mode with a FOV slider • Equipment can now be used while flying • Aerial Stab has been nerfed so that each consecutive attack requires more stamina • Improved the interaction range for NPC • Improved responsiveness during short distance movements • Reduced Stamina consumption while sprinting and using Crow Wings • Minimap can now be fixed North • Added icons to the minimap to show keys and anvils • Added an icon to show new quests • Improved visual quality when using upscaling • Added a 'Fixed 4K Output' option to PS5 • Bug fixes and more Patch is out now on Steam, PS5 and other platforms should be coming soon.

Crimson Desert Patch 1.01 is out now. Patch highlights: • Increased fast travel loading speed • Locked doors now require confirmation before spending a key • Gliding now uses less stamina • Improved movement controls - You can now hold down the Run key OR tap it once to increase speed • Cooking is now faster with a "Make Now" option • Added 5 summonable mounts • Added a Refinement Coin that instantly upgrades gear up to Level 4 • Added a 'Store All Selected' items function • The Mining Knuckledrill now collects ore immediately • The Demenissian Chainsaw now collects timber immediately • Can now store more than 240 items • Improved Photo Mode with a FOV slider • Equipment can now be used while flying • Aerial Stab has been nerfed so that each consecutive attack requires more stamina • Improved the interaction range for NPC • Improved responsiveness during short distance movements • Reduced Stamina consumption while sprinting and using Crow Wings • Minimap can now be fixed North • Added icons to the minimap to show keys and anvils • Added an icon to show new quests • Improved visual quality when using upscaling • Added a 'Fixed 4K Output' option to PS5 • Bug fixes and more Patch is out now on Steam, PS5 and other platforms should be coming soon.

KAMI

833,019 次观看 • 5 个月前

next, here is how to animate the video once you generated the base image of your ai model, attach the image of your model and the product image in your ai tool and prompt, "she is holding this product" now to animate this scene, use such a simple prompt; "the girl is speaking in her beautiful voice; "this is the most powerful drink in the world... drink it once, and your whole hair is gone" no background music, no sound effects." adding "no background music" is necessory part when you're prompting to VEO 3 or Kling 2.6 and for the drinking scene, i also gave it a very simple prompt; "the girl is drinking, handheld camera shaking. No background music," then i asked nb pro to remove her hair, and then turn it into the using that simple prompt method. note; simple prompts works better than complicated one when it comes to animating your video that's it, if you need any help setting up your ai influencer to promote your product/app or service just DM me here on 𝕏 or comment "want" i'll dm you myself if you know how to make viral content + setup such a beautiful ai model 2026 will be yours, cheers

next, here is how to animate the video once you generated the base image of your ai model, attach the image of your model and the product image in your ai tool and prompt, "she is holding this product" now to animate this scene, use such a simple prompt; "the girl is speaking in her beautiful voice; "this is the most powerful drink in the world... drink it once, and your whole hair is gone" no background music, no sound effects." adding "no background music" is necessory part when you're prompting to VEO 3 or Kling 2.6 and for the drinking scene, i also gave it a very simple prompt; "the girl is drinking, handheld camera shaking. No background music," then i asked nb pro to remove her hair, and then turn it into the using that simple prompt method. note; simple prompts works better than complicated one when it comes to animating your video that's it, if you need any help setting up your ai influencer to promote your product/app or service just DM me here on 𝕏 or comment "want" i'll dm you myself if you know how to make viral content + setup such a beautiful ai model 2026 will be yours, cheers

ViralOps

21,701 次观看 • 9 个月前

Alright guys, hear me out I was skeptical about Llama 4 coding skills... until I started comparing it to other models, including the earlier version of GPT-4o This thing is free, open source, and honestly pretty close to GPT-4o (pre-update), wild if you think about it

Alright guys, hear me out I was skeptical about Llama 4 coding skills... until I started comparing it to other models, including the earlier version of GPT-4o This thing is free, open source, and honestly pretty close to GPT-4o (pre-update), wild if you think about it

Flavio Adamo

378,298 次观看 • 1 年前

Perfume brands are paying agencies $50k for ads you can now make for under $2 😳 i tested it myself same prompt, two ai models. MiniMax H3 vs Seedance 2.5 seedance charged me 4x more. H3 still looked better what H3 got right: > the glass and lighting look real, not ai > brand name on the bottle came out clean, no melted text > 2k quality, 15 second videos > starts at $0.081 per second if you make ads, product videos or brand content, this is the cheapest way to look expensive both videos below, which one won? 👇

Isra

40,898 次观看 • 1 个月前

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)

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 次观看 • 4 个月前

This guy built a mini AI farm out of 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.

This guy built a mini AI farm out of 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.

Gipp 🦅

591,405 次观看 • 3 个月前

seedance 2.0 is now the best model for AI UGC this video was free and took me 30 seconds to make it handles realism better than any model ive seen yet, and it understands different creative styles i gave it a very vague prompt then it handled the rest now imagine what you could do with more reference photos, detailed structured prompting etc lots of possibilities with this

seedance 2.0 is now the best model for AI UGC this video was free and took me 30 seconds to make it handles realism better than any model ive seen yet, and it understands different creative styles i gave it a very vague prompt then it handled the rest now imagine what you could do with more reference photos, detailed structured prompting etc lots of possibilities with this

Miko

42,184 次观看 • 7 个月前

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt

Chris Tate

42,558 次观看 • 1 年前

someone just open-sourced the entire "loop engineering" playbook. for free. 8.6k stars on github for loop engineering not prompts. loops. everything you need to build autonomous AI systems: → scheduling → memory & state → planning → sub-agents → verification → worktrees → MCP → stop conditions → safety guardrails → observability → cost tracking notice something? none of these are prompts. they're the systems wrapped around the model. that's where AI engineering is heading. we're moving from: Prompt Engineering → Context Engineering → Harness Engineering → Loop Engineering soon you'll hear people talking about Graph Engineering too. because once one loop works... the next challenge is coordinating hundreds of them. that's exactly what I explain in: save this. I think "loop engineering" is about to become one of the most important concepts in AI.

someone just open-sourced the entire "loop engineering" playbook. for free. 8.6k stars on github for loop engineering not prompts. loops. everything you need to build autonomous AI systems: → scheduling → memory & state → planning → sub-agents → verification → worktrees → MCP → stop conditions → safety guardrails → observability → cost tracking notice something? none of these are prompts. they're the systems wrapped around the model. that's where AI engineering is heading. we're moving from: Prompt Engineering → Context Engineering → Harness Engineering → Loop Engineering soon you'll hear people talking about Graph Engineering too. because once one loop works... the next challenge is coordinating hundreds of them. that's exactly what I explain in: save this. I think "loop engineering" is about to become one of the most important concepts in AI.

Rahul

65,108 次观看 • 2 个月前

most people open Claude every morning and re-explain their entire life. every. single. time. then I built 7 layers that remember everything: Layer 1: tell Claude who I am, once Layer 2: build separate brains for separate work Layer 3: turn on memory so it learns me Layer 4: upload 5 writing samples so it sounds like me Layer 5: dump my world into project files Layer 6: connect Gmail, Calendar, Drive, Slack Layer 7: schedule tasks that run while I sleep 60 minutes to set up. spread across one week. now Claude finishes my sentences. knows which client I mean from one word. catches mistakes I'd miss. it's not a chatbot anymore. it's a personal AI that knows me better than most coworkers do. your AI doesn't know you yet. this article fixes that.

most people open Claude every morning and re-explain their entire life. every. single. time. then I built 7 layers that remember everything: Layer 1: tell Claude who I am, once Layer 2: build separate brains for separate work Layer 3: turn on memory so it learns me Layer 4: upload 5 writing samples so it sounds like me Layer 5: dump my world into project files Layer 6: connect Gmail, Calendar, Drive, Slack Layer 7: schedule tasks that run while I sleep 60 minutes to set up. spread across one week. now Claude finishes my sentences. knows which client I mean from one word. catches mistakes I'd miss. it's not a chatbot anymore. it's a personal AI that knows me better than most coworkers do. your AI doesn't know you yet. this article fixes that.

Nav Toor

62,558 次观看 • 4 个月前

Your AI Toolkit Just Got Supercharged 5 elite AI models. 1 unified platform. 90 seconds of pure workflow magic. Here's the reality: Building with AI used to mean chaos—juggling tabs, managing API keys, context-switching hell. But what if you didn't have to choose? What if you could access the best of every model without leaving your workflow? Meet the New Standard: Replit's AI Model Ecosystem Claude for your complex thinking. GPT-4 for your creative fire. Mistral when you need lightning-speed execution. Llama for privacy-first local analysis. Open source freedom for the innovators. 300+ models. One dashboard. Zero friction. Switch between them in seconds, not minutes. No sign-ups. No API gymnastics. Just pick, prompt, and ship. Why This Matters You're not just saving time—you're reclaiming your focus. Every tab you don't open is mental energy preserved. Every API key you don't manage is a distraction eliminated. This is what AI integration should feel like: invisible. Effortless. Natural. The builders who master this first won't just be faster. They'll be unstoppable. Your move. Replit ⠕ is waiting. ✨

Your AI Toolkit Just Got Supercharged 5 elite AI models. 1 unified platform. 90 seconds of pure workflow magic. Here's the reality: Building with AI used to mean chaos—juggling tabs, managing API keys, context-switching hell. But what if you didn't have to choose? What if you could access the best of every model without leaving your workflow? Meet the New Standard: Replit's AI Model Ecosystem Claude for your complex thinking. GPT-4 for your creative fire. Mistral when you need lightning-speed execution. Llama for privacy-first local analysis. Open source freedom for the innovators. 300+ models. One dashboard. Zero friction. Switch between them in seconds, not minutes. No sign-ups. No API gymnastics. Just pick, prompt, and ship. Why This Matters You're not just saving time—you're reclaiming your focus. Every tab you don't open is mental energy preserved. Every API key you don't manage is a distraction eliminated. This is what AI integration should feel like: invisible. Effortless. Natural. The builders who master this first won't just be faster. They'll be unstoppable. Your move. Replit ⠕ is waiting. ✨

Hasan

43,168 次观看 • 9 个月前

A playable Fortnite took Epic Games 300 people and 6 years. Claude Fable 5 just built one from several sentences. Many people still don't understand how powerful this model really is. We've already seen it build a Minecraft-style game from a single prompt in the browser. This is the next step: a Fortnite-style shooter. Third-person camera, weapon switching, a pickaxe, health and shield bars, a hotbar, buildings scattered across an open map — even the stylized sunset sky. One prompt started it. From there, it writes the code, runs the prototype, sees what breaks, fixes it, and keeps iterating until the thing is actually playable. What makes this interesting isn't that a game can be built. It's how little input is needed to get the process started. A sentence in. A working game out. The gap between an idea and a playable game is closing faster than most people realize.

A playable Fortnite took Epic Games 300 people and 6 years. Claude Fable 5 just built one from several sentences. Many people still don't understand how powerful this model really is. We've already seen it build a Minecraft-style game from a single prompt in the browser. This is the next step: a Fortnite-style shooter. Third-person camera, weapon switching, a pickaxe, health and shield bars, a hotbar, buildings scattered across an open map — even the stylized sunset sky. One prompt started it. From there, it writes the code, runs the prototype, sees what breaks, fixes it, and keeps iterating until the thing is actually playable. What makes this interesting isn't that a game can be built. It's how little input is needed to get the process started. A sentence in. A working game out. The gap between an idea and a playable game is closing faster than most people realize.

Rich

50,249 次观看 • 3 个月前

1/ We've all been aware of the hype surrounding Dreamina Seedance 2.0, and I finally got early access to the tool. And wow, I'm blown away. This is by far the best. It is starting to make AI video feel less like "generate a clip" and more like "direct a scene." What stood out to me is the level of control: camera motion, pacing, visual consistency, and the ability to build from multiple references inside one workflow. Some of the prompt directions that feel especially strong: - a busy modern city square during daytime. Suddenly, time freezes completely - a single continuous camera movement through a natural landscape that transitions through all four seasons in one shot - an underwater bioluminescent city waking up at dawn The big shift is this: One Prompt, Viral Remade. Edit Videos as Easy as Editing Photos. Dreamina Seedance 2.0 feels like a real step toward AI-native directing rather than just AI generation. Here are some examples 🧵:

1/ We've all been aware of the hype surrounding Dreamina Seedance 2.0, and I finally got early access to the tool. And wow, I'm blown away. This is by far the best. It is starting to make AI video feel less like "generate a clip" and more like "direct a scene." What stood out to me is the level of control: camera motion, pacing, visual consistency, and the ability to build from multiple references inside one workflow. Some of the prompt directions that feel especially strong: - a busy modern city square during daytime. Suddenly, time freezes completely - a single continuous camera movement through a natural landscape that transitions through all four seasons in one shot - an underwater bioluminescent city waking up at dawn The big shift is this: One Prompt, Viral Remade. Edit Videos as Easy as Editing Photos. Dreamina Seedance 2.0 feels like a real step toward AI-native directing rather than just AI generation. Here are some examples 🧵:

Chubby♨️

76,622 次观看 • 6 个月前

This workflow is perfect for creating short fashion-style cinematic videos. I simplified the original prompts based on willie’s method, and the whole process is now much faster and more stable: 1. Generate a 3×3 keyframe grid (Nano Banana Pro only) Use this simple prompt: “In a 3x3 grid, show this character in different angles, keep the scene the same, random poses. This is far simpler and more efficient than my old prompts. You can generate multiple times and just pick the keyframes you like most. 2. Extract a high-res keyframe (Super stable trick) Take a screenshot of the keyframe you want from the 3×3 grid, send it back to Nano Banana Pro, and simply say: “Give me a high-resolution version.” This method is much more stable than relying on complex upscaling prompts. 3. Generate the video with Kling 2.5 Turbo Upload the first and last frames to Kling 2.5 Turbo and use this prompt: “The camera very slowly and smoothly lowers on a boom.” From my testing, Kling 2.5 Turbo offers the best balance of stability and cost — other models are either less consistent or noticeably more expensive. 4. Final speed adjustment with willie’s tool (Critical step) Use the tool built by willie to fine-tune the playback speed of each clip. This step is essential for getting that premium cinematic feel. I’ll drop the tool link in the comments.

This workflow is perfect for creating short fashion-style cinematic videos. I simplified the original prompts based on willie’s method, and the whole process is now much faster and more stable: 1. Generate a 3×3 keyframe grid (Nano Banana Pro only) Use this simple prompt: “In a 3x3 grid, show this character in different angles, keep the scene the same, random poses. This is far simpler and more efficient than my old prompts. You can generate multiple times and just pick the keyframes you like most. 2. Extract a high-res keyframe (Super stable trick) Take a screenshot of the keyframe you want from the 3×3 grid, send it back to Nano Banana Pro, and simply say: “Give me a high-resolution version.” This method is much more stable than relying on complex upscaling prompts. 3. Generate the video with Kling 2.5 Turbo Upload the first and last frames to Kling 2.5 Turbo and use this prompt: “The camera very slowly and smoothly lowers on a boom.” From my testing, Kling 2.5 Turbo offers the best balance of stability and cost — other models are either less consistent or noticeably more expensive. 4. Final speed adjustment with willie’s tool (Critical step) Use the tool built by willie to fine-tune the playback speed of each clip. This step is essential for getting that premium cinematic feel. I’ll drop the tool link in the comments.

underwood

22,240 次观看 • 9 个月前