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Does this make it up to ya Choom?~ 💦 Animation: RougeNine🔞 Commissions Open Model: Lia3D Sound: 🔊RandomTide🔞 Rebecca: Raya🐾📿

Raya🐾📿

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70,464 次观看 • 2 年前 •via X (Twitter)

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『If he does this, I'll be able to touch you』 #tadc #funnybunny -------------------------- 🎨Artist: PONCHO 📣COMMS OPEN📣 ⌨️Editor:Silence Reveal 🔊Voice Actor: 🔞Twinkle Park (Commissions open: 1/5) 🔞 AdmiralTrina ⚓️

『If he does this, I'll be able to touch you』 #tadc #funnybunny -------------------------- 🎨Artist: PONCHO 📣COMMS OPEN📣 ⌨️Editor:Silence Reveal 🔊Voice Actor: 🔞Twinkle Park (Commissions open: 1/5) 🔞 AdmiralTrina ⚓️

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I saw a tiktok meme and had a stupid idea to redo a version of it with Ember Can someone who can animate it better do this please its a good idea wasted on a low animator XD Ember Heirloom model by: SumSmutCreator 🔞 || Commissions Open! Spare a coin to my ko-fi?

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IS THIS WHAT BEING HAECHANLESS FOR A WEEK DOES TO MARK?! why did he open up his hand waiting as if asking hyuck to intertwine it with him?!?!? did he really make hyuck flustered?!? is this a fever dream

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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

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Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.

Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.

Avi Chawla

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Europe 👋🏻👋🏻 Just added a new festival in Italy next summer and some headline shows for ya in cities we didn’t make it to last time around!!! 15/6 - Florence, IT @ Firenze Rocks 17/6 - Vienna, AT @ Stadthalle 30/6 - Luxembourg, LU @ Luxexpo Open Air 2/7 - Amsterdam, NL @ Ziggo Dome The mailing list pre-sale for the headliners begins this Wednesday @ 10am local - sign up now for access General on sale for the headline dates + Opel Firenze Rocks begins Friday @ 10am local Got a few more international dates announcing soon 👀

Europe 👋🏻👋🏻 Just added a new festival in Italy next summer and some headline shows for ya in cities we didn’t make it to last time around!!! 15/6 - Florence, IT @ Firenze Rocks 17/6 - Vienna, AT @ Stadthalle 30/6 - Luxembourg, LU @ Luxexpo Open Air 2/7 - Amsterdam, NL @ Ziggo Dome The mailing list pre-sale for the headliners begins this Wednesday @ 10am local - sign up now for access General on sale for the headline dates + Opel Firenze Rocks begins Friday @ 10am local Got a few more international dates announcing soon 👀

Green Day

130,200 次观看 • 1 年前

$I believe that StoryDiffusion has the potential to be Animatediff's complex motion sister-model! While AD is amazing for granular control, micro-motion and all kinds of abstract motion, it fails at complex realistic motion - walking, human movements, cars, etc. StoryDiffusion seems very promising for this + also has characteristics that will likely make the community very receptive to it and likely to extend its capabilities: 2) Appealing base-model results - likely to get the community excited - feels like significantly better realistic motion than AD 2) Modular - their approach is built with a number of components that can be combined and taken apart - it works by generating consistent images, then animating them together - each of these stages can likely be upgraded, used and influenced in different ways. 3) Flexible - they demonstrate a bunch of different conditioning options 4) Likely easy on RAM - it's based on SD 1.5 + authors mention precautions to reduce RAM consumption 5) Built to plug into the existing ecosystem - e.g. the fact that it works with the SD1.5 ecosystem will give it a huge advantage! While it's very early to say - e.g. the video model hasn't even been released yet! - it does seem very promising. With 9 months of SD1.5/Animatediff-esque progress improving every element of it, I can see an an extremely extended version of this beating Sora + running for a fraction of the compute resources on a consumer GPU. Together with Animatediff to drive the micro-motions and abstract stuff, it could produce be extraordinary/otherworldly/insane/beautiful stuff. This is the first open video model I've been excited about since Animatediff - though cautiously optimistic! Link here:$

I believe that StoryDiffusion has the potential to be Animatediff's complex motion sister-model! While AD is amazing for granular control, micro-motion and all kinds of abstract motion, it fails at complex realistic motion - walking, human movements, cars, etc. StoryDiffusion seems very promising for this + also has characteristics that will likely make the community very receptive to it and likely to extend its capabilities: 2) Appealing base-model results - likely to get the community excited - feels like significantly better realistic motion than AD 2) Modular - their approach is built with a number of components that can be combined and taken apart - it works by generating consistent images, then animating them together - each of these stages can likely be upgraded, used and influenced in different ways. 3) Flexible - they demonstrate a bunch of different conditioning options 4) Likely easy on RAM - it's based on SD 1.5 + authors mention precautions to reduce RAM consumption 5) Built to plug into the existing ecosystem - e.g. the fact that it works with the SD1.5 ecosystem will give it a huge advantage! While it's very early to say - e.g. the video model hasn't even been released yet! - it does seem very promising. With 9 months of SD1.5/Animatediff-esque progress improving every element of it, I can see an an extremely extended version of this beating Sora + running for a fraction of the compute resources on a consumer GPU. Together with Animatediff to drive the micro-motions and abstract stuff, it could produce be extraordinary/otherworldly/insane/beautiful stuff. This is the first open video model I've been excited about since Animatediff - though cautiously optimistic! Link here:

POM

22,141 次观看 • 2 年前

Wait… this is AI animation? The short film 《AKUMA》 from Dreamina × Annecy honestly caught my attention because it feels less like a random generated clip and more like a scene someone actually directed. The prison wagon setup has such a strong mood. The warm light coming through the bars, the rough wood, the small chain rattles, and that subtle wagon movement all make the scene feel alive without doing too much. What I liked most is Saku’s reaction when he wakes up. It is quiet and controlled. He does not panic. He just checks his bandages, looks around, then notices the shackles on his hands. That small acting choice makes the moment feel much more real. The camera also keeps it simple, which works. Close shots, readable faces, little cuts between the characters, and just enough movement to remind you the wagon is still rolling. That is why Dreamina feels interesting to me. Dreamina Octo helps shape the idea and creative direction, while Seedance 2.0 brings it into motion with mood, character acting, and atmosphere. Dreamina AI → Dreamina Octo Creative Agent + Dreamina Seedance 2.0 Animation Model. Dreamina AI #DreaminaAtAnnecy #MadeWithDreamina #AnimationFilm #DreaminaAI

Wait… this is AI animation? The short film 《AKUMA》 from Dreamina × Annecy honestly caught my attention because it feels less like a random generated clip and more like a scene someone actually directed. The prison wagon setup has such a strong mood. The warm light coming through the bars, the rough wood, the small chain rattles, and that subtle wagon movement all make the scene feel alive without doing too much. What I liked most is Saku’s reaction when he wakes up. It is quiet and controlled. He does not panic. He just checks his bandages, looks around, then notices the shackles on his hands. That small acting choice makes the moment feel much more real. The camera also keeps it simple, which works. Close shots, readable faces, little cuts between the characters, and just enough movement to remind you the wagon is still rolling. That is why Dreamina feels interesting to me. Dreamina Octo helps shape the idea and creative direction, while Seedance 2.0 brings it into motion with mood, character acting, and atmosphere. Dreamina AI → Dreamina Octo Creative Agent + Dreamina Seedance 2.0 Animation Model. Dreamina AI #DreaminaAtAnnecy #MadeWithDreamina #AnimationFilm #DreaminaAI

Marry claire

14,082 次观看 • 1 个月前