Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

KDTalker is really wild 🤯👇 - Can run on single 4090 or 3090 🤩 - Uses Diffusion for generating audio-driven Talking Portraits - Preserves character identity with fine facial details - Expressions change with the speech, giving high pose diversity

Gradio's profile picture

Gradio

56,930 subscribers

84,174 görüntüleme • 1 yıl önce •via X (Twitter)

EğitimBilim & TeknolojiSanat
LIVE

Anya Rossi• Live Now

Private livecam show

7 Yorum

Gradio profil fotoğrafı
Gradio1 yıl önce

Play with the official gradio app: Code: Coming very soon to the @huggingface Spaces 🤗

TurboScribe profil fotoğrafı
TurboScribe1 yıl önce

What REAL customers say about TurboScribe's unlimited AI transcription 👇 🇺🇸 "Not only does it transcribe with amazing accuracy, it also filters out a ton of the unnecessary noise associated with pauses in audio. Keep up the great work!" - Kevin

Abubakar Abid profil fotoğrafı
Abubakar Abid1 yıl önce

cc @freddy_alfonso_

migero 🤌🥕🐇 profil fotoğrafı
migero 🤌🥕🐇1 yıl önce

enjoy your celebrities trying to sell you crypto in near future with this ......

Figure profil fotoğrafı
Figure1 yıl önce

kdtalker never sleeps

Ricci👁 profil fotoğrafı
Ricci👁1 yıl önce

Looking forward to accessing Comfyui

stephen 🌿 profil fotoğrafı
stephen 🌿1 yıl önce

@super_bavario

Benzer Videolar

Hunyuan3D 2.0 for generating high-resolution textured 3D assets. Surpasses previous state-of-the-art models, both open-source and closed-source, in geometry details, condition alignment, and texture quality! 🤯 🤯
0:23

Hunyuan3D 2.0 for generating high-resolution textured 3D assets. Surpasses previous state-of-the-art models, both open-source and closed-source, in geometry details, condition alignment, and texture quality! 🤯 🤯

Gradio

24,184 görüntüleme • 1 yıl önce

This is amazing! You can now create high-quality 3D Scenes from a single image using Multi-Instance Diffusion Models (MIDI) 🔥
0:43

This is amazing! You can now create high-quality 3D Scenes from a single image using Multi-Instance Diffusion Models (MIDI) 🔥

Gradio

41,770 görüntüleme • 1 yıl önce

🚀 Introducing 𝐈𝐃𝐌-𝐕𝐓𝐎𝐍 : A novel diffusion model for image-based virtual try-on! 👗 😍 Improves garment fidelity and generates authentic visuals. 🔧 Uses two modules to encode garment semantics: visual encoder for high-level & parallel UNet for low-level. Links below👇
0:30

🚀 Introducing 𝐈𝐃𝐌-𝐕𝐓𝐎𝐍 : A novel diffusion model for image-based virtual try-on! 👗 😍 Improves garment fidelity and generates authentic visuals. 🔧 Uses two modules to encode garment semantics: visual encoder for high-level & parallel UNet for low-level. Links below👇

Gradio

104,492 görüntüleme • 2 yıl önce

🤯DiffIR2VR-Zero: Zero-shot video restoration to high-resolution using pre-trained image restoration diffusion models. - Framework can handle video denoising and up to 8x super-resolution - outperforms trained models in generalizing across diverse datasets and extreme degradations - Compatible with every 2D restoration model
0:38

🤯DiffIR2VR-Zero: Zero-shot video restoration to high-resolution using pre-trained image restoration diffusion models. - Framework can handle video denoising and up to 8x super-resolution - outperforms trained models in generalizing across diverse datasets and extreme degradations - Compatible with every 2D restoration model

Gradio

20,342 görüntüleme • 2 yıl önce

🆕 FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
0:23

🆕 FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on

Gradio

39,333 görüntüleme • 1 yıl önce

ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions (#SIGGRAPH) We reconstruct ultra-high fidelity photorealistic 3D avatars capable of generating realistic and high-quality animations including freckles and other fine facial details. We operate on patch-based local expression features and increase the representation capacity by synthesizing 3D Gaussians dynamically by leveraging tiny scaffold MLPs conditioned on localized expressions. We further propose a color-based densification and progressive training scheme for improved quality and faster convergence. Project: Video: Great work by Shivangi, Sebastian Weiss, Irene Baeza, Prashanth Chandran, Gaspard Zoss, Derek Bradley
0:37

ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions (#SIGGRAPH) We reconstruct ultra-high fidelity photorealistic 3D avatars capable of generating realistic and high-quality animations including freckles and other fine facial details. We operate on patch-based local expression features and increase the representation capacity by synthesizing 3D Gaussians dynamically by leveraging tiny scaffold MLPs conditioned on localized expressions. We further propose a color-based densification and progressive training scheme for improved quality and faster convergence. Project: Video: Great work by Shivangi, Sebastian Weiss, Irene Baeza, Prashanth Chandran, Gaspard Zoss, Derek Bradley

Matthias Niessner

17,218 görüntüleme • 11 ay önce

🤯 OneDiffusion: A versatile, large-scale diffusion model that seamlessly supports bidirectional image synthesis and understanding across diverse tasks. ✅ Text to Image ✅ Image to Depth ✅ Image to Segmentation ✅ Image to Pose ✅ FaceID ✅ Image to Multiview How to use & more👇
0:33

🤯 OneDiffusion: A versatile, large-scale diffusion model that seamlessly supports bidirectional image synthesis and understanding across diverse tasks. ✅ Text to Image ✅ Image to Depth ✅ Image to Segmentation ✅ Image to Pose ✅ FaceID ✅ Image to Multiview How to use & more👇

Gradio

11,820 görüntüleme • 1 yıl önce

Viggle’s Mic 2.0 is here! With our upgraded model, take precise control over how a character talks and moves, in one shot. Turn images into videos simply with an audio or text prompt for speech. Or take it further—add a motion source to drive the character’s movements—action and voice, perfectly aligned. Try it free on our web, or on our iOS/Android apps.👇
0:33

Viggle’s Mic 2.0 is here! With our upgraded model, take precise control over how a character talks and moves, in one shot. Turn images into videos simply with an audio or text prompt for speech. Or take it further—add a motion source to drive the character’s movements—action and voice, perfectly aligned. Try it free on our web, or on our iOS/Android apps.👇

ViggleAI

36,121 görüntüleme • 1 yıl önce

Auto regressive LLMs are officially on notice. run Gemma 4 26B diffusion gguf with llama.cpp Google just dropped DiffusionGemma-26B, and it completely flips how we generate text. instead of predicting words one by one, it generates 256 tokens in parallel using bi-directional attention. its like stable diffusion, but for language. the model starts with random text "noise" and iteratively refines and self-corrects the entire block in real-time to fix formatting and reasoning errors on the fly. since it’s a Mixture of Experts (MoE) that only activates 3.8B parameters during inference, it fits perfectly on consumer hardware. You can run the Q4_K_M quant with an 18GB VRAM budget on a single RTX 3090 or RTX 4090 with exceptional throughput. Tested on Ubuntu 22 with CUDA 13.1 using the cutting edge experimental llama.cpp branch. Here is how to compile and run it with the live terminal denoising visualizer: # 1. Clone & check out the experimental PR (#24423) - 1) git clone && cd llama.cpp -git fetch origin 2) pull/24423/head:diffusiongemma && --git checkout diffusiongemma # 2. Build with CUDA support 1) cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=native 2) cmake --build build -j $(nproc) --config Release --target llama-diffusion-cli # 3. Run with live visual denoising (llama.cpp flags) ./build/bin/llama-diffusion-cli \ -m /path/to/diffusiongemma-26B-A4B-it-Q4_K_M.gguf \ -ngl 99 -cnv -n 2048 --diffusion-visual Watch the video below to see the live --diffusion-visual canvas iteratively de noising the prompt output in real time. guide and unsloth's hugging face GGUF model links are in the comments below! Is auto regressive generation officially legacy tech? Let me know what you think.
0:31

Auto regressive LLMs are officially on notice. run Gemma 4 26B diffusion gguf with llama.cpp Google just dropped DiffusionGemma-26B, and it completely flips how we generate text. instead of predicting words one by one, it generates 256 tokens in parallel using bi-directional attention. its like stable diffusion, but for language. the model starts with random text "noise" and iteratively refines and self-corrects the entire block in real-time to fix formatting and reasoning errors on the fly. since it’s a Mixture of Experts (MoE) that only activates 3.8B parameters during inference, it fits perfectly on consumer hardware. You can run the Q4_K_M quant with an 18GB VRAM budget on a single RTX 3090 or RTX 4090 with exceptional throughput. Tested on Ubuntu 22 with CUDA 13.1 using the cutting edge experimental llama.cpp branch. Here is how to compile and run it with the live terminal denoising visualizer: # 1. Clone & check out the experimental PR (#24423) - 1) git clone && cd llama.cpp -git fetch origin 2) pull/24423/head:diffusiongemma && --git checkout diffusiongemma # 2. Build with CUDA support 1) cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=native 2) cmake --build build -j $(nproc) --config Release --target llama-diffusion-cli # 3. Run with live visual denoising (llama.cpp flags) ./build/bin/llama-diffusion-cli \ -m /path/to/diffusiongemma-26B-A4B-it-Q4_K_M.gguf \ -ngl 99 -cnv -n 2048 --diffusion-visual Watch the video below to see the live --diffusion-visual canvas iteratively de noising the prompt output in real time. guide and unsloth's hugging face GGUF model links are in the comments below! Is auto regressive generation officially legacy tech? Let me know what you think.

Alok

52,656 görüntüleme • 1 ay önce

Object Cutter Create high-quality HD background removal for ANY object in your image with a text prompt or bounding boxes!
0:24

Object Cutter Create high-quality HD background removal for ANY object in your image with a text prompt or bounding boxes!

Gradio

135,988 görüntüleme • 1 yıl önce

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan
0:40

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

Tencent HY

191,908 görüntüleme • 1 yıl önce

📚 ebook2audiobook CPU/GPU Converter from eBooks to audiobooks with chapters and metadata using Calibre, ffmpeg, XTTSv2, Fairseq and more. Supports voice cloning and 1100+ languages! 🤯 🗣️Voice cloning with your own voice 🖥️Designed to run on 4GB RAM ✅Runs on Colab 🤗On Spaces
0:39

📚 ebook2audiobook CPU/GPU Converter from eBooks to audiobooks with chapters and metadata using Calibre, ffmpeg, XTTSv2, Fairseq and more. Supports voice cloning and 1100+ languages! 🤯 🗣️Voice cloning with your own voice 🖥️Designed to run on 4GB RAM ✅Runs on Colab 🤗On Spaces

Gradio

102,733 görüntüleme • 1 yıl önce

🔥 Diffusers fast Inpaint by Alvaro Somoza Draw the mask over the subject you want to erase or change and write what you want to Inpaint it with. Create interesting art pieces with Diffusers and Gradio 😎
0:46

🔥 Diffusers fast Inpaint by Alvaro Somoza Draw the mask over the subject you want to erase or change and write what you want to Inpaint it with. Create interesting art pieces with Diffusers and Gradio 😎

Gradio

26,576 görüntüleme • 1 yıl önce

Microsoft did it again! Speech AI models have a major limitation. They slice long recordings into tiny chunks, lose track of who's speaking, and forget all context halfway through. This is exactly what Microsoft's VibeVoice solves. It's an open-source family of frontier voice AI models for both speech recognition and speech generation. Here's what it can do: > VibeVoice-ASR processes up to 60 minutes of audio in a single pass. No chunking. It outputs structured transcriptions with who spoke, when they spoke, and what they said. > You can feed it custom hotwords like names, technical jargon, or domain-specific terms. The model uses them to significantly improve accuracy on specialized content. > VibeVoice-TTS generates up to 90 minutes of multi-speaker speech with up to 4 distinct speakers. Natural turn-taking, emotional expression, all in one pass. > VibeVoice-Realtime is a 0.5B streaming TTS model with ~300ms first-audio latency. Small enough to deploy practically anywhere. All of this is powered by continuous speech tokenizers running at just 7.5 Hz. This ultra-low frame rate preserves audio quality while making long sequences computationally feasible. I have shared the link to the GitHub repo in the replies!
1:10

Microsoft did it again! Speech AI models have a major limitation. They slice long recordings into tiny chunks, lose track of who's speaking, and forget all context halfway through. This is exactly what Microsoft's VibeVoice solves. It's an open-source family of frontier voice AI models for both speech recognition and speech generation. Here's what it can do: > VibeVoice-ASR processes up to 60 minutes of audio in a single pass. No chunking. It outputs structured transcriptions with who spoke, when they spoke, and what they said. > You can feed it custom hotwords like names, technical jargon, or domain-specific terms. The model uses them to significantly improve accuracy on specialized content. > VibeVoice-TTS generates up to 90 minutes of multi-speaker speech with up to 4 distinct speakers. Natural turn-taking, emotional expression, all in one pass. > VibeVoice-Realtime is a 0.5B streaming TTS model with ~300ms first-audio latency. Small enough to deploy practically anywhere. All of this is powered by continuous speech tokenizers running at just 7.5 Hz. This ultra-low frame rate preserves audio quality while making long sequences computationally feasible. I have shared the link to the GitHub repo in the replies!

Akshay 🚀

45,206 görüntüleme • 3 ay önce

Have you had the chance to try out the amazing music generation Mustango Gradio app yet?Have you tried the Mustango Gradio app for generating music yet? It's amazing!🎶🎵🤩 Awesome work by Soujanya Poria Deepanway Ghosal and whole DeCLaRe team🙌
0:37

Have you had the chance to try out the amazing music generation Mustango Gradio app yet?Have you tried the Mustango Gradio app for generating music yet? It's amazing!🎶🎵🤩 Awesome work by Soujanya Poria Deepanway Ghosal and whole DeCLaRe team🙌

Gradio

39,550 görüntüleme • 2 yıl önce