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New ML gem on the hub: LDM3D by Intel. This diffusion model generates image & depth from text prompts. Using a custom @gradio 6dof three.js component you can generate immersive 360-degree views from prompts demo: model:

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Radamés Ajna

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56,696 görüntüleme • 2 yıl önce •via X (Twitter)

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This is built using Gradio 6's super easy new HTML component! You can play with the demo here:
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This is built using Gradio 6's super easy new HTML component! You can play with the demo here:

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This is RICULOUSLY good, TRELLIS 3D Generation model by Microsoft! 🔥 Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!
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This is RICULOUSLY good, TRELLIS 3D Generation model by Microsoft! 🔥 Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!

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Check out a new ControlNet face model on the hub by Joseph Catrambone & Chris Vigorito, trained on the LAION-Face dataset it works with multiple faces. I've updated the live conditioning @gradio component, try the official demo here
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Check out a new ControlNet face model on the hub by Joseph Catrambone & Chris Vigorito, trained on the LAION-Face dataset it works with multiple faces. I've updated the live conditioning @gradio component, try the official demo here

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you can now generate prompts from images in Krea drag & drop any image into the prompt box -> get a prompt for it
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you can now generate prompts from images in Krea drag & drop any image into the prompt box -> get a prompt for it

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😀 ToonCrafter: Generative Cartoon Interpolation 🔆 Can interpolate two cartoon images by leveraging the pre-trained image-to-video diffusion priors. Model on 🤗👇
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😀 ToonCrafter: Generative Cartoon Interpolation 🔆 Can interpolate two cartoon images by leveraging the pre-trained image-to-video diffusion priors. Model on 🤗👇

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RIP ANIMATORS/DESIGNERS AI just made animation stupidly easy. You can now train an entire character model from just one image. Tutorial + Prompts:
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RIP ANIMATORS/DESIGNERS AI just made animation stupidly easy. You can now train an entire character model from just one image. Tutorial + Prompts:

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New release 💋 Uncensored text-to-image on Nim Our new model doesn't censor your prompts and is not afraid of nipples. Go check it out! Let's talk about creative freedom and model censorship in this thread👇
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New release 💋 Uncensored text-to-image on Nim Our new model doesn't censor your prompts and is not afraid of nipples. Go check it out! Let's talk about creative freedom and model censorship in this thread👇

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Kling 3 is a remarkable model. This was a one-shot generation from an input image and text prompts - the model retained character, scene, and voice consistency across cuts 🤯 IMO this is a step-function change in capabilities. If you haven't tried it yet, head over to fal!
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Kling 3 is a remarkable model. This was a one-shot generation from an input image and text prompts - the model retained character, scene, and voice consistency across cuts 🤯 IMO this is a step-function change in capabilities. If you haven't tried it yet, head over to fal!

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New on Poe: Lyria! Google DeepMind’s music-gen model creates high-fidelity instrumental tracks directly from your text prompts. With detailed control over style, instruments, and tempo, you can transform your creative ideas into music right from chat. (1/2)
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New on Poe: Lyria! Google DeepMind’s music-gen model creates high-fidelity instrumental tracks directly from your text prompts. With detailed control over style, instruments, and tempo, you can transform your creative ideas into music right from chat. (1/2)

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Custom components using . Want to know my process + prompts? Drop "component" below, I'll share them with you.
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Custom components using . Want to know my process + prompts? Drop "component" below, I'll share them with you.

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Hailuo 02 is now on Poe! This new video model stands out for its ability to handle real-world physics and motion where other leading-edge models struggle. It supports text and image prompts, and generates videos that are 6 seconds long. (1/2)
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Hailuo 02 is now on Poe! This new video model stands out for its ability to handle real-world physics and motion where other leading-edge models struggle. It supports text and image prompts, and generates videos that are 6 seconds long. (1/2)

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your r1 can now generate new UIs based on your custom prompts. go check it out 🕳️🐇
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your r1 can now generate new UIs based on your custom prompts. go check it out 🕳️🐇

rabbit inc.

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Today, we’re introducing Meta’s latest 3D foundation model, AssetGen 2.0, which was designed to create high-quality 3D assets from text and image prompts. AssetGen 2.0 consists of two models developed within Meta: one to generate 3D meshes and another to generate textures. Read More:
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Today, we’re introducing Meta’s latest 3D foundation model, AssetGen 2.0, which was designed to create high-quality 3D assets from text and image prompts. AssetGen 2.0 consists of two models developed within Meta: one to generate 3D meshes and another to generate textures. Read More:

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Reaper Midjourney + GPT Image 2 + Seedance 2.0 + Suno This time I tried Gemini 3.5 Flash (High) to generate storyboard and seedance prompts. You can find the prompts in the replies.
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Reaper Midjourney + GPT Image 2 + Seedance 2.0 + Suno This time I tried Gemini 3.5 Flash (High) to generate storyboard and seedance prompts. You can find the prompts in the replies.

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Text-to-image diffusion transformer models learn to align text and image representations as a byproduct of their conditional denoising task. By taking the dot product between the text and image representations of a DiT model (like Flux 2), you can create rich saliency maps.
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Text-to-image diffusion transformer models learn to align text and image representations as a byproduct of their conditional denoising task. By taking the dot product between the text and image representations of a DiT model (like Flux 2), you can create rich saliency maps.

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NVIDIA DROPPED A MOTION DIFFUSION MODEL FOR HUMANOID ROBOTS trained on 700 hours of mocap data kimodo generates high-quality 3D human and robot motions from text prompts you control it with: → full-body pose keyframes → end-effector positions/rotations → 2D paths and waypoints works on human skeletons and unitree G1 robot plug the outputs directly into mujoco or retarget to other robots using GMR has a web-based interactive demo with a timeline editor. runs locally needs ~17GB VRAM to run inference open source under apache 2.0
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NVIDIA DROPPED A MOTION DIFFUSION MODEL FOR HUMANOID ROBOTS trained on 700 hours of mocap data kimodo generates high-quality 3D human and robot motions from text prompts you control it with: → full-body pose keyframes → end-effector positions/rotations → 2D paths and waypoints works on human skeletons and unitree G1 robot plug the outputs directly into mujoco or retarget to other robots using GMR has a web-based interactive demo with a timeline editor. runs locally needs ~17GB VRAM to run inference open source under apache 2.0

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🆕 Image super-resolution model just dropped! Superior results even with a single sampling step. 🔥InvSR: Arbitrary-steps Image Super-resolution via Diffusion Inversion.
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🆕 Image super-resolution model just dropped! Superior results even with a single sampling step. 🔥InvSR: Arbitrary-steps Image Super-resolution via Diffusion Inversion.

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