Загрузка видео...

Не удалось загрузить видео

На главную

From flat image to animated 3D models in Spaces → Generate 3D models from an image or a prompt → Retexture, remesh, convert and UV unwrap on the canvas → Auto-rig your characters and apply animations → Snapshot any model into your image or video workflow Now on Magnific

magnific's profile picture

Magnific

89,968 subscribers

13,543 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Auto Layers 2.0, fully integrated in Magnific Designer Splits any image into editable layers. Subject, text, logo, background → Upload or generate your image → Get every layer, separated → Move, restyle, rebuild Now available for all users
0:15

Auto Layers 2.0, fully integrated in Magnific Designer Splits any image into editable layers. Subject, text, logo, background → Upload or generate your image → Get every layer, separated → Move, restyle, rebuild Now available for all users

Magnific

44,826 просмотров • 1 месяц назад

Voice, music, and SFX from a single prompt Seed Audio 1.0 is now on Magnific → Scene control: environment, voice, emotion, music, SFX → Multi-character dialogue → Texto-to-audio, up to 3 reference audios or image Available on the Magnific Voice Generator, MCP and Spaces
0:17

Voice, music, and SFX from a single prompt Seed Audio 1.0 is now on Magnific → Scene control: environment, voice, emotion, music, SFX → Multi-character dialogue → Texto-to-audio, up to 3 reference audios or image Available on the Magnific Voice Generator, MCP and Spaces

Magnific

53,283 просмотров • 2 месяцев назад

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”
0:18

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Bilawal Sidhu

92,898 просмотров • 2 лет назад

① Open Gemini, Grok or GPT Image 2.0 ② Upload your image ③ Paste the prompt ④ Generate your image and video Prompt given below ⤵️
0:10

① Open Gemini, Grok or GPT Image 2.0 ② Upload your image ③ Paste the prompt ④ Generate your image and video Prompt given below ⤵️

Soaima

16,019 просмотров • 11 дней назад

wow.. ComfyUI's node canvas is crazy we can now generate image, video, audio, even 3D models locally on the AI canva and.. it has all the top AI models like FLUX, GPT image, Kling, Veo, Hunyuan3D and more step by step tutorial:
0:19

wow.. ComfyUI's node canvas is crazy we can now generate image, video, audio, even 3D models locally on the AI canva and.. it has all the top AI models like FLUX, GPT image, Kling, Veo, Hunyuan3D and more step by step tutorial:

el.cine

182,508 просмотров • 1 год назад

Hunyuan 3D-2.1 turns any flat image into studio-quality 3D models. And you can do it on this Hugging Face space for free.
0:11

Hunyuan 3D-2.1 turns any flat image into studio-quality 3D models. And you can do it on this Hugging Face space for free.

Rohan Paul

222,769 просмотров • 1 год назад

Want to generate images from the world's best models like Nano Banana or GPT Image side by side? Now you can with Image Lab 🚀 Run a single prompt across up to 25 models, with up to 20 images from each, and see results in seconds. You've seen our leaderboards. Now generate and evaluate the models yourself. Link in thread 🧵👇
0:16

Want to generate images from the world's best models like Nano Banana or GPT Image side by side? Now you can with Image Lab 🚀 Run a single prompt across up to 25 models, with up to 20 images from each, and see results in seconds. You've seen our leaderboards. Now generate and evaluate the models yourself. Link in thread 🧵👇

Artificial Analysis

12,250 просмотров • 7 месяцев назад

One tool. Total lighting control for images and videos Relight just launched on Freepik → Control direction, intensity, and color → Transfer lighting from any reference image → Apply expert presets and adjust from there A whole lighting studio in your browser
0:17

One tool. Total lighting control for images and videos Relight just launched on Freepik → Control direction, intensity, and color → Transfer lighting from any reference image → Apply expert presets and adjust from there A whole lighting studio in your browser

Magnific

62,152 просмотров • 6 месяцев назад

Introducing 3 UNLIMITED models available now on Freepik💥 Seedream 4.5, Reve, and Z-image Like, comment + RT in the next hour. One winner gets 100K credits Details on each model in thread 🧵👇
0:15

Introducing 3 UNLIMITED models available now on Freepik💥 Seedream 4.5, Reve, and Z-image Like, comment + RT in the next hour. One winner gets 100K credits Details on each model in thread 🧵👇

Magnific

24,693 просмотров • 9 месяцев назад

Seedance 2.0 Mini is UNLIMITED on Magnific A faster, lighter model for turning image, video, and audio references into cinematic clips New users on Premium+, Pro, or Business Annual get unlimited generations until July 23, up to 720p resolution Go cinematic!
0:14

Seedance 2.0 Mini is UNLIMITED on Magnific A faster, lighter model for turning image, video, and audio references into cinematic clips New users on Premium+, Pro, or Business Annual get unlimited generations until July 23, up to 720p resolution Go cinematic!

Magnific

37,252 просмотров • 2 месяцев назад

Introducing Restyle 💥 Choose from a preset, a color palette, or upload your own reference image to transfer its style. All while keeping the structure intact Available now for all plans
0:18

Introducing Restyle 💥 Choose from a preset, a color palette, or upload your own reference image to transfer its style. All while keeping the structure intact Available now for all plans

Magnific

35,529 просмотров • 1 год назад

🔥 We just shipped a full end-to-end character animation platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇
0:18

🔥 We just shipped a full end-to-end character animation platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇

HEAT

24,960 просмотров • 2 лет назад

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:
0:17

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:

Jake Steinerman 🌎

92,257 просмотров • 1 год назад

Use Your Private Models on Comfy Cloud! Continue client work safely — or generate with your experimental private models. You can now import models directly from private Hugging Face or Civitai repos. Just add your private key and model URL, and we will bring the models to your workflow! Everything you import stays 100% private to your account.
0:12

Use Your Private Models on Comfy Cloud! Continue client work safely — or generate with your experimental private models. You can now import models directly from private Hugging Face or Civitai repos. Just add your private key and model URL, and we will bring the models to your workflow! Everything you import stays 100% private to your account.

ComfyUI

17,705 просмотров • 7 месяцев назад

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!
0:14

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!

Vaibhav (VB) Srivastav

62,455 просмотров • 1 год назад

Someone just built a AI agent that connects to blender and builds full 3d models from a single image.
0:18

Someone just built a AI agent that connects to blender and builds full 3d models from a single image.

Oliver Prompts

53,647 просмотров • 5 месяцев назад

Turn any webpage into a museum! 🏛️ Made this Chrome extension that uses Hunyuan 3D v3.1 on fal to turn any image into a 3D model, and three.js for the interactive viewer
0:16

Turn any webpage into a museum! 🏛️ Made this Chrome extension that uses Hunyuan 3D v3.1 on fal to turn any image into a 3D model, and three.js for the interactive viewer

Blendi

48,960 просмотров • 5 месяцев назад

this is the future of CGI this new OpenMagic AI can add image, video or 3D product into real life video seamlessly with one click and.. it can even turn product image into 3D model automatically 10 wild examples:
0:10

this is the future of CGI this new OpenMagic AI can add image, video or 3D product into real life video seamlessly with one click and.. it can even turn product image into 3D model automatically 10 wild examples:

el.cine

121,041 просмотров • 1 год назад

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.
0:12

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

MrNeRF

52,849 просмотров • 1 год назад