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Locker Room Tustle New YCH Scene that really emphasizes the booty and the grabbin! Starting ya'll off with three models for this scene including a human version of Afterburn edited by @GekkosSocks VA: ✨Sora🔞✨(C0mms open) Models by: x_RedEyes 🔞 | (OPEN COMMISSIONS) Individual vids and links down below.

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176,000 görüntüleme • 8 ay önce •via X (Twitter)

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Realtime interactive generative models FTW! Announcing a new 🌊 of details and features for Magenta RealTime, the open weights live music AI model from GDM! * Live Jamming with audio input 🎤🎸🎵 * Personalize your own models 🔧 * Tech report 📜 Links below in the 🧵...
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Realtime interactive generative models FTW! Announcing a new 🌊 of details and features for Magenta RealTime, the open weights live music AI model from GDM! * Live Jamming with audio input 🎤🎸🎵 * Personalize your own models 🔧 * Tech report 📜 Links below in the 🧵...

Jesse Engel

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Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. ✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That work is starting to attract attention across industries worldwide, as we build frontier AI models in many different domains.” This includes leading open models from NVIDIA, including: ⚙️ NVIDIA Nemotron for agentic AI ⚙️ NVIDIA Cosmos and GR00T for physical AI ⚙️ NVIDIA Alpamayo for autonomous vehicles ⚙️ NVIDIA Clara for biomedical AI Learn more about open source and AI ➡️
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Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. ✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That work is starting to attract attention across industries worldwide, as we build frontier AI models in many different domains.” This includes leading open models from NVIDIA, including: ⚙️ NVIDIA Nemotron for agentic AI ⚙️ NVIDIA Cosmos and GR00T for physical AI ⚙️ NVIDIA Alpamayo for autonomous vehicles ⚙️ NVIDIA Clara for biomedical AI Learn more about open source and AI ➡️

NVIDIA AI

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Image Edit is heating up in the Arena - 3 new models have been added! ✨ Flux-Kontext-Max by BFL ✨ Bagel by ByteDance ✨ Step1X-edit by StepFun This brings the Image Edit Arena to a total of 7, with more coming! Upload an image and test them out, let's see what you think of these new models🖼️
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Image Edit is heating up in the Arena - 3 new models have been added! ✨ Flux-Kontext-Max by BFL ✨ Bagel by ByteDance ✨ Step1X-edit by StepFun This brings the Image Edit Arena to a total of 7, with more coming! Upload an image and test them out, let's see what you think of these new models🖼️

Arena.ai

18,500 görüntüleme • 1 yıl önce

The AI fun continues ✨ You can use Unity Sentis in open beta to build AI-powered experiences in the Unity runtime. Sentis reduces the complexity of importing and running AI models and enables creating lifelike NPCs and new interactions for richer gameplay. See it in the demo below that uses four chained AI models to create an open-ended dialogue and quest experience. Learn more about Sentis: #Unite2023 #UnitySentis
1:46

The AI fun continues ✨ You can use Unity Sentis in open beta to build AI-powered experiences in the Unity runtime. Sentis reduces the complexity of importing and running AI models and enables creating lifelike NPCs and new interactions for richer gameplay. See it in the demo below that uses four chained AI models to create an open-ended dialogue and quest experience. Learn more about Sentis: #Unite2023 #UnitySentis

Unity

62,670 görüntüleme • 2 yıl önce

SUDDEN ANNOUNCEMENT! The next Seiryu Vtuber Model rigging batch is now open! 🎉 On top of regular models, we still offer: - Longboi model rigging (With art by 🎐🌿 nai 💖) - Custom stingers/animations for OBS ✨ Form and details below 👇
0:27

SUDDEN ANNOUNCEMENT! The next Seiryu Vtuber Model rigging batch is now open! 🎉 On top of regular models, we still offer: - Longboi model rigging (With art by 🎐🌿 nai 💖) - Custom stingers/animations for OBS ✨ Form and details below 👇

Seiryu Live2D Rigging | Commissions Open!

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Three new open-source models just landed in ComfyUI natively: → Gemma 4 (Google DeepMind) - multimodal LLM handling text, image, audio, and video input with built-in step-by-step reasoning mode → VOID (Netflix) - video object removal that also erases shadows, reflections, and physical interactions caused by the removed subject → BiRefNet - high-res background & object segmentation, one of the most-used segmentation models in the ecosystem Workflows and blog linked below 👇
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Three new open-source models just landed in ComfyUI natively: → Gemma 4 (Google DeepMind) - multimodal LLM handling text, image, audio, and video input with built-in step-by-step reasoning mode → VOID (Netflix) - video object removal that also erases shadows, reflections, and physical interactions caused by the removed subject → BiRefNet - high-res background & object segmentation, one of the most-used segmentation models in the ecosystem Workflows and blog linked below 👇

ComfyUI

218,749 görüntüleme • 2 ay önce

The Patrolman’s Tormi lets Maya crash in her tum… with quite the bouncy result! A thousand thanks to Gapato for this beautiful, vivid animation and MelBotics for the delightful, dynamic sound design! Both phenonenal models by 🔞 LithiumLord (C0mms 5/8)! #sizetwitter #vore
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The Patrolman’s Tormi lets Maya crash in her tum… with quite the bouncy result! A thousand thanks to Gapato for this beautiful, vivid animation and MelBotics for the delightful, dynamic sound design! Both phenonenal models by 🔞 LithiumLord (C0mms 5/8)! #sizetwitter #vore

Byssa 🔞

38,374 görüntüleme • 1 yıl önce

New short course: Open Source Models with Hugging Face 🤗, taught by Maria Khalusova, Marc Sun, and Younes Belkada! Hugging Face has been a game changer by letting you quickly grab any of hundreds of thousands of already-trained open source models to assemble into new applications. This course teaches you best practices for building this way, including how to search and choose among models. You’ll learn to use the Transformers library and walk through multiple models for text, audio, and image processing, including zero-shot image segmentation, zero-shot audio classification, and speech recognition. You'll also learn to use multimodal models for visual question answering, image search, and image captioning. Finally, you’ll learn how to demo what you build locally, on the cloud, or via an API using Gradio and Hugging Face Spaces. You can sign up here:
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New short course: Open Source Models with Hugging Face 🤗, taught by Maria Khalusova, Marc Sun, and Younes Belkada! Hugging Face has been a game changer by letting you quickly grab any of hundreds of thousands of already-trained open source models to assemble into new applications. This course teaches you best practices for building this way, including how to search and choose among models. You’ll learn to use the Transformers library and walk through multiple models for text, audio, and image processing, including zero-shot image segmentation, zero-shot audio classification, and speech recognition. You'll also learn to use multimodal models for visual question answering, image search, and image captioning. Finally, you’ll learn how to demo what you build locally, on the cloud, or via an API using Gradio and Hugging Face Spaces. You can sign up here:

Andrew Ng

224,538 görüntüleme • 2 yıl önce

Testing four AI video models from the same input image and prompt. The scene: two cybernetic soldiers dueling with energy swords in a rainy neon cyberpunk city. This thread breaks down scene richness, physics, and camera motion for each model. First, a side-by-side comparison video of PixVerse V6 and Seedance 2.0.
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Testing four AI video models from the same input image and prompt. The scene: two cybernetic soldiers dueling with energy swords in a rainy neon cyberpunk city. This thread breaks down scene richness, physics, and camera motion for each model. First, a side-by-side comparison video of PixVerse V6 and Seedance 2.0.

Jibril

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Are open source models catching up to proprietary models? We’ve looked back at 3 years of Arena’s data to show how the race has evolved. For comparison, we’ve taken the top 20% of the models and uncovered the following: - Before mid 2024: The gap was between 100-150 points - In the second half of 2024, the gap rapidly narrowed to ~50 points - This was driven by the fact that proprietary models have not significantly improved between early 2023 and November 2024 - hovering around the 1350 score for the top 20% of proprietary models - Then since Jan 2025, we saw a parallel improvement in both proprietary and open source models - Meaning that for the last ~14 months the gap stayed steady at around 50-60 points For context, 50 points is the gap between the 1st and 20th place in the Overall leaderboard Today, proprietary models take up the first 20 spots on the Text Arena, with Anthropic, Google DeepMind , xAI and OpenAI leading in the rankings. The top open source models are ranked #20 (GLM-5 by Z.ai ), #23 (Kimi-K2.5-Thinking by Kimi.ai ) and #27 (Qwen3.5-397b-a17b by Qwen ).
0:21

Are open source models catching up to proprietary models? We’ve looked back at 3 years of Arena’s data to show how the race has evolved. For comparison, we’ve taken the top 20% of the models and uncovered the following: - Before mid 2024: The gap was between 100-150 points - In the second half of 2024, the gap rapidly narrowed to ~50 points - This was driven by the fact that proprietary models have not significantly improved between early 2023 and November 2024 - hovering around the 1350 score for the top 20% of proprietary models - Then since Jan 2025, we saw a parallel improvement in both proprietary and open source models - Meaning that for the last ~14 months the gap stayed steady at around 50-60 points For context, 50 points is the gap between the 1st and 20th place in the Overall leaderboard Today, proprietary models take up the first 20 spots on the Text Arena, with Anthropic, Google DeepMind , xAI and OpenAI leading in the rankings. The top open source models are ranked #20 (GLM-5 by Z.ai ), #23 (Kimi-K2.5-Thinking by Kimi.ai ) and #27 (Qwen3.5-397b-a17b by Qwen ).

Arena.ai

22,447 görüntüleme • 3 ay önce

Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.
1:44

Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.

Sam Rodriques

23,301 görüntüleme • 4 ay önce

Madame Rockwell has a guest to entertain for the day, with her using her silver tongue and other skills at her disposal to make them bend to her will Art drawn by Nachmochok (COMMS OPEN)⭐ Video edited by Tsuma-ASMR Madame Rockwell voiced by 🫦Alexia Renaldis🫦 - Adult VA🔞
2:00

Madame Rockwell has a guest to entertain for the day, with her using her silver tongue and other skills at her disposal to make them bend to her will Art drawn by Nachmochok (COMMS OPEN)⭐ Video edited by Tsuma-ASMR Madame Rockwell voiced by 🫦Alexia Renaldis🫦 - Adult VA🔞

Vinny-De-Loud

13,497 görüntüleme • 2 ay önce

🚨David Ondrej exposes the truth about the frontier labs. “The progress isn’t slowing down for them, it’s slowing down for us the slaves” “If you think Mythos or Fable 5 is the best model Anthropic has you’re delusional” this is the first time ever that the best AI models are not publicly accessible Anthropic has fear mongered every single human and is now playing the victim with OpenAI after getting “banned” by the U.S government. THIS NEEDS TO WAKE YOU UP frontier models moving forward will become more restricted, less accessible, and more expensive and the only way to combat that is with open-source models. Investing into a DGX spark or 5090 Linux for localized intelligence and building your own AI lab is where the future is heading. every single person needs to start contributing to open-source together for the betterment of society.
0:55

🚨David Ondrej exposes the truth about the frontier labs. “The progress isn’t slowing down for them, it’s slowing down for us the slaves” “If you think Mythos or Fable 5 is the best model Anthropic has you’re delusional” this is the first time ever that the best AI models are not publicly accessible Anthropic has fear mongered every single human and is now playing the victim with OpenAI after getting “banned” by the U.S government. THIS NEEDS TO WAKE YOU UP frontier models moving forward will become more restricted, less accessible, and more expensive and the only way to combat that is with open-source models. Investing into a DGX spark or 5090 Linux for localized intelligence and building your own AI lab is where the future is heading. every single person needs to start contributing to open-source together for the betterment of society.

Vadim

83,158 görüntüleme • 20 gün önce

Open source AI is gaining traction due to the White House’s clampdown on Anthropic & OpenAI. “A lot of founders and developers have been burned by trying to build apps on top of these really advanced closed source models, like Fable for instance…” “… and then seeing those models get taken down or removed from the market just days later.” — Stephanie Palazzolo ✈️ ICML, AI Reporter
0:57

Open source AI is gaining traction due to the White House’s clampdown on Anthropic & OpenAI. “A lot of founders and developers have been burned by trying to build apps on top of these really advanced closed source models, like Fable for instance…” “… and then seeing those models get taken down or removed from the market just days later.” — Stephanie Palazzolo ✈️ ICML, AI Reporter

The Information

19,082 görüntüleme • 18 gün önce

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.
2:52

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Santiago

164,162 görüntüleme • 2 yıl önce

Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet. Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context window and improved support for 8 languages among other improvements. Llama 3.1 405B rivals leading closed source models on state-of-the-art capabilities across a range of tasks in general knowledge, steerability, math, tool use and multilingual translation. The models are available to download now directly from Meta or Hugging Face. With today’s release the ecosystem is also ready to go with 25+ partners rolling out our latest models — including Amazon Web Services, NVIDIA, Databricks, Groq Inc, Dell Technologies, Microsoft Azure and Google Cloud ready on day one. More details in the full announcement ➡️ Download Llama 3.1 models ➡️ With these releases we’re setting the stage for unprecedented new opportunities and we can’t wait to see the innovation our newest models will unlock across all levels of the AI community.
2:57

Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet. Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context window and improved support for 8 languages among other improvements. Llama 3.1 405B rivals leading closed source models on state-of-the-art capabilities across a range of tasks in general knowledge, steerability, math, tool use and multilingual translation. The models are available to download now directly from Meta or Hugging Face. With today’s release the ecosystem is also ready to go with 25+ partners rolling out our latest models — including Amazon Web Services, NVIDIA, Databricks, Groq Inc, Dell Technologies, Microsoft Azure and Google Cloud ready on day one. More details in the full announcement ➡️ Download Llama 3.1 models ➡️ With these releases we’re setting the stage for unprecedented new opportunities and we can’t wait to see the innovation our newest models will unlock across all levels of the AI community.

AI at Meta

1,268,811 görüntüleme • 2 yıl önce

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models paper page: github: Recent advancements in text-to-image generation with diffusion models have yielded remarkable results synthesizing highly realistic and diverse images. However, these models still encounter difficulties when generating images from prompts that demand spatial or common sense reasoning. We propose to equip diffusion models with enhanced reasoning capabilities by using off-the-shelf pretrained large language models (LLMs) in a novel two-stage generation process. First, we adapt an LLM to be a text-guided layout generator through in-context learning. When provided with an image prompt, an LLM outputs a scene layout in the form of bounding boxes along with corresponding individual descriptions. Second, we steer a diffusion model with a novel controller to generate images conditioned on the layout. Both stages utilize frozen pretrained models without any LLM or diffusion model parameter optimization. We validate the superiority of our design by demonstrating its ability to outperform the base diffusion model in accurately generating images according to prompts that necessitate both language and spatial reasoning. Additionally, our method naturally allows dialog-based scene specification and is able to handle prompts in a language that is not well-supported by the underlying diffusion model.
5:11

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models paper page: github: Recent advancements in text-to-image generation with diffusion models have yielded remarkable results synthesizing highly realistic and diverse images. However, these models still encounter difficulties when generating images from prompts that demand spatial or common sense reasoning. We propose to equip diffusion models with enhanced reasoning capabilities by using off-the-shelf pretrained large language models (LLMs) in a novel two-stage generation process. First, we adapt an LLM to be a text-guided layout generator through in-context learning. When provided with an image prompt, an LLM outputs a scene layout in the form of bounding boxes along with corresponding individual descriptions. Second, we steer a diffusion model with a novel controller to generate images conditioned on the layout. Both stages utilize frozen pretrained models without any LLM or diffusion model parameter optimization. We validate the superiority of our design by demonstrating its ability to outperform the base diffusion model in accurately generating images according to prompts that necessitate both language and spatial reasoning. Additionally, our method naturally allows dialog-based scene specification and is able to handle prompts in a language that is not well-supported by the underlying diffusion model.

AK

83,657 görüntüleme • 3 yıl önce

🎬When science and faith collide and a child is left to carry the weight 💔. A gut-wrenching moment for Alex Karev. 🏥✨ The scene that broke all of our hearts in the Grey Anatomy… I believe this scene was motivated by true events… I’ve witnessed one myself !
4:02

🎬When science and faith collide and a child is left to carry the weight 💔. A gut-wrenching moment for Alex Karev. 🏥✨ The scene that broke all of our hearts in the Grey Anatomy… I believe this scene was motivated by true events… I’ve witnessed one myself !

HÓLA❤️💡

39,166 görüntüleme • 26 gün önce

I love how Nibbles may come off as annoying in this scene, but really she's trying to make the space comfortable for Nick by being herself to get him to open up. She can tell that Nick is upset/hurt and wants him to acknowledge that, and she gives him a big hug for doing so❤️
1:42

I love how Nibbles may come off as annoying in this scene, but really she's trying to make the space comfortable for Nick by being herself to get him to open up. She can tell that Nick is upset/hurt and wants him to acknowledge that, and she gives him a big hug for doing so❤️

bit#FreePalestine🇵🇸

30,722 görüntüleme • 3 ay önce