正在加载视频...

视频加载失败

返回首页

🚀 Q2 Image Model is Live! ✨Text to image, Reference to image, and Image editing supported ✨Ultra-fast generation (as fast as 5s), 4K quality, super consistency ✨One-stop workflow: turn reference images into subjects and reuse them for video creation ✨Unlimited image generation for members until Dec 31 New users:...

ViduAI_official's profile picture

Vidu AI

12,412 subscribers

24,747 次观看 • 6 个月前 •via X (Twitter)

艺术科学技术
LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Grok Imagine is now LIVE in Hedra DAY 0 ! 🚀 Stunning photorealistic images & videos. Lightning-fast generation Easy edits for elements, styles & more Text to Image. Image Editing. Text to Video. Image to Video All inside Hedra. Try it now.
0:32

Grok Imagine is now LIVE in Hedra DAY 0 ! 🚀 Stunning photorealistic images & videos. Lightning-fast generation Easy edits for elements, styles & more Text to Image. Image Editing. Text to Video. Image to Video All inside Hedra. Try it now.

Hedra

749,171 次观看 • 4 个月前

We have updated image generation models with Nano Banana, Qwen-image, and Seedream 4.0, now enabling direct image-to-video creation. Up to 4k images generation. Stremline your workflow! -> Retweet to get 300 credits in DMs (72H ONLY)
0:33

We have updated image generation models with Nano Banana, Qwen-image, and Seedream 4.0, now enabling direct image-to-video creation. Up to 4k images generation. Stremline your workflow! -> Retweet to get 300 credits in DMs (72H ONLY)

PixVerse

76,554 次观看 • 7 个月前

Complete story entirely created with Grok Imagine 4.20: -Image, image editing, image reference -video, Images for video reference, video extension I did in a few hours what used to take me weeks and of much better quality!
2:32

Complete story entirely created with Grok Imagine 4.20: -Image, image editing, image reference -video, Images for video reference, video extension I did in a few hours what used to take me weeks and of much better quality!

Déborah

57,945 次观看 • 2 个月前

OpenAI’s GPT Image 1.5 is LIVE and UNLIMITED & FREE for 1 WEEK! Our 68% Holiday Sale just got even better. You can now use GPT Image 1.5 inside ImagineArt for unified image generation, clean and readable text rendering, precise non-destructive edits, strong prompt understanding, and consistently high-quality visuals. RT + Reply “Image 1.5” for a chance to win 1000 credits 🎁
0:31

OpenAI’s GPT Image 1.5 is LIVE and UNLIMITED & FREE for 1 WEEK! Our 68% Holiday Sale just got even better. You can now use GPT Image 1.5 inside ImagineArt for unified image generation, clean and readable text rendering, precise non-destructive edits, strong prompt understanding, and consistently high-quality visuals. RT + Reply “Image 1.5” for a chance to win 1000 credits 🎁

ImagineArt

881,042 次观看 • 5 个月前

🎬Vidu Q1 "Reference-to-Video" Direct to image, right from the start✨
1:16

🎬Vidu Q1 "Reference-to-Video" Direct to image, right from the start✨

Vidu AI

227,972 次观看 • 11 个月前

Introducing unlimited image generation Create and edit images without losing credits, for every model Available for Premium + and Pro
0:23

Introducing unlimited image generation Create and edit images without losing credits, for every model Available for Premium + and Pro

Magnific (formerly Freepik)

1,245,322 次观看 • 11 个月前

We're releasing ✨Qwen Image Edit Relight✨ a dedicated Qwen Image Edit app for image relighting fast, precise and optimized for relighting no more need for a complex workflows when you can get sota outputs with as little as 8 steps
0:34

We're releasing ✨Qwen Image Edit Relight✨ a dedicated Qwen Image Edit app for image relighting fast, precise and optimized for relighting no more need for a complex workflows when you can get sota outputs with as little as 8 steps

Linoy Tsaban🎗️

19,608 次观看 • 9 个月前

Excited to share a Google DeepMind Gemini 2.0 Flash Image Generation and Editing Quickstart. We build a Next.js reference app on how to use the new image editing feature of Gemini 2.0 Flash. Demo to test ⬇️ > Generate images from text prompts using Gemini 2.0 Flash > Or upload an image and edit it using prompts
0:48

Excited to share a Google DeepMind Gemini 2.0 Flash Image Generation and Editing Quickstart. We build a Next.js reference app on how to use the new image editing feature of Gemini 2.0 Flash. Demo to test ⬇️ > Generate images from text prompts using Gemini 2.0 Flash > Or upload an image and edit it using prompts

Philipp Schmid

52,406 次观看 • 1 年前

Introducing StyleDrop, a model that allows a significantly higher level of stylized text-to-image synthesis by using a few style reference images that describe the style for text-to-image generation, bypassing the burden of text prompt engineering. More→
0:42

Introducing StyleDrop, a model that allows a significantly higher level of stylized text-to-image synthesis by using a few style reference images that describe the style for text-to-image generation, bypassing the burden of text prompt engineering. More→

Google AI

80,357 次观看 • 2 年前

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:
1:39

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

Tencent Hy

89,257 次观看 • 9 个月前

VIVAGO 2.0 Unlocks Unlimited Creativity For Creators! ✨High-quality image generation 🎥1080P ultra-clear video support 🔥 Viral-ready effect templates Explore now →
0:42

VIVAGO 2.0 Unlocks Unlimited Creativity For Creators! ✨High-quality image generation 🎥1080P ultra-clear video support 🔥 Viral-ready effect templates Explore now →

vivago.ai (HiDream)

2,564,191 次观看 • 11 个月前

Designing an Encoder for Fast Personalization of Text-to-Image Models TL;DR: use an encoder to personalize a text-to-image model to new concepts with a single image and 5-15 tuning steps abs: project page:
0:43

Designing an Encoder for Fast Personalization of Text-to-Image Models TL;DR: use an encoder to personalize a text-to-image model to new concepts with a single image and 5-15 tuning steps abs: project page:

AK

165,158 次观看 • 3 年前

🎉Introducing Image Reference in KOLORS!🎨✨ KLING AI's image model just got an upgrade! 🚀 Image Reference is now available with KOLORS 1.5 model! With more precise selection of reference, enjoy greater creative control!🌟 🖼️ Frames are added to KLING AI 1.6 model Professional Mode. 🔗For more details, please visit: #KlingAI #Kling #KOLORS
0:27

🎉Introducing Image Reference in KOLORS!🎨✨ KLING AI's image model just got an upgrade! 🚀 Image Reference is now available with KOLORS 1.5 model! With more precise selection of reference, enjoy greater creative control!🌟 🖼️ Frames are added to KLING AI 1.6 model Professional Mode. 🔗For more details, please visit: #KlingAI #Kling #KOLORS

Kling AI

27,731 次观看 • 1 年前

🥳 Nano Banana is available for image generation in Meshy! Text → Image → 3D. Try the all-in-one AI workflow now!
0:26

🥳 Nano Banana is available for image generation in Meshy! Text → Image → 3D. Try the all-in-one AI workflow now!

MeshyAI

34,732 次观看 • 9 个月前

Text is often the hardest part of image generation to get right. MAI-Image-2 improves consistency and legibility for in-image text across infographics, diagrams, and slides — reducing the gap between prompt and output. Try it for yourself.
0:30

Text is often the hardest part of image generation to get right. MAI-Image-2 improves consistency and legibility for in-image text across infographics, diagrams, and slides — reducing the gap between prompt and output. Try it for yourself.

Microsoft AI

30,523 次观看 • 2 个月前

Introducing ChatGPT Images, powered by our flagship new image generation model. - Stronger instruction following - Precise editing - Detail preservation - 4x faster than before Rolling out today in ChatGPT for all users, and in the API as GPT Image 1.5.
0:55

Introducing ChatGPT Images, powered by our flagship new image generation model. - Stronger instruction following - Precise editing - Detail preservation - 4x faster than before Rolling out today in ChatGPT for all users, and in the API as GPT Image 1.5.

OpenAI

3,230,434 次观看 • 5 个月前

👀 Pixel perfect 💎✨ 🖼️ Edify Image from #NVIDIAResearch is a family of diffusion models that supports a wide range of applications, including text-to-image synthesis, 4K upsampling, ControlNets, 360° HDR panorama generation, and finetuning for image customization. 🧵 1/2
2:48

👀 Pixel perfect 💎✨ 🖼️ Edify Image from #NVIDIAResearch is a family of diffusion models that supports a wide range of applications, including text-to-image synthesis, 4K upsampling, ControlNets, 360° HDR panorama generation, and finetuning for image customization. 🧵 1/2

NVIDIA AI Developer

14,747 次观看 • 1 年前

Phidias A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion discuss: In 3D modeling, designers often use an existing 3D model as a reference to create new ones. This practice has inspired the development of Phidias, a novel generative model that uses diffusion for reference-augmented 3D generation. Given an image, our method leverages a retrieved or user-provided 3D reference model to guide the generation process, thereby enhancing the generation quality, generalization ability, and controllability. Our model integrates three key components: 1) meta-ControlNet that dynamically modulates the conditioning strength, 2) dynamic reference routing that mitigates misalignment between the input image and 3D reference, and 3) self-reference augmentations that enable self-supervised training with a progressive curriculum. Collectively, these designs result in a clear improvement over existing methods. Phidias establishes a unified framework for 3D generation using text, image, and 3D conditions with versatile applications.
1:53

Phidias A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion discuss: In 3D modeling, designers often use an existing 3D model as a reference to create new ones. This practice has inspired the development of Phidias, a novel generative model that uses diffusion for reference-augmented 3D generation. Given an image, our method leverages a retrieved or user-provided 3D reference model to guide the generation process, thereby enhancing the generation quality, generalization ability, and controllability. Our model integrates three key components: 1) meta-ControlNet that dynamically modulates the conditioning strength, 2) dynamic reference routing that mitigates misalignment between the input image and 3D reference, and 3) self-reference augmentations that enable self-supervised training with a progressive curriculum. Collectively, these designs result in a clear improvement over existing methods. Phidias establishes a unified framework for 3D generation using text, image, and 3D conditions with versatile applications.

AK

25,120 次观看 • 1 年前

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.
0:33

Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio with text prompts or a reference image to shape your video's narrative. ✨ With support for videos up to 10 seconds and enhanced video quality, unlock a richer visual space where more engaging stories come to life.

Wan

52,088 次观看 • 8 个月前

TLDR: Meet ✨Lumiere✨ our new text-to-video model from Google AI! Lumiere is designed to create entire clips in just one go! Seamlessly opening up possibilities for many applications: Image-to-video 🖼️ Stylized generation 🖌️ Video editing 🪩 and beyond. See 🧵👇
1:54

TLDR: Meet ✨Lumiere✨ our new text-to-video model from Google AI! Lumiere is designed to create entire clips in just one go! Seamlessly opening up possibilities for many applications: Image-to-video 🖼️ Stylized generation 🖌️ Video editing 🪩 and beyond. See 🧵👇

Hila Chefer

252,567 次观看 • 2 年前