正在加载视频...

视频加载失败

返回首页

🤯 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's profile picture

Gradio

55,801 subscribers

11,820 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育
LIVE

Anya Rossi• Live Now

Private livecam show

9 条评论

Gradio 的头像
Gradio1 年前

One Diffusion 🔥 Build Gradio app locally 💪 :

Gradio 的头像
Gradio1 年前

Using OneDiffusion for Subject Driven Generation 👨‍🏭

Gradio 的头像
Gradio1 年前

OneDiffusion for Multi View Synthesis 🗿 🎲

Gradio 的头像
Gradio1 年前

OneDiffusion for ID customization 👨‍🦰

Gradio 的头像
Gradio1 年前

Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Support Gradio project on GitHub 🧡 :

_pushakar_ 的头像
_pushakar_1 年前

Non Commercial 😐😶

🇺🇸huwhitememes ✯ 的头像
🇺🇸huwhitememes ✯1 年前

The space linked on their github seems a little under the weather.

Gradio 的头像
Gradio1 年前

It might be set to private as it is still WIP. Stay tuned for more updates or build locally using the gradio app code from the GitHub repo.

Silvio S. 的头像
Silvio S.1 年前

@blovereviews

相关视频

(1/10) 🔥Thrilled to introduce OneDiffusion—our latest work in unified diffusion modeling! 🚀 This model bridges the gap between image synthesis and understanding, excelling in a wide range of tasks: T2I, conditional generation, image understanding, identity preservation, multiview generation, and even camera pose estimation. Learn more at: Project: arXiv: Code (on the way):
1:22

(1/10) 🔥Thrilled to introduce OneDiffusion—our latest work in unified diffusion modeling! 🚀 This model bridges the gap between image synthesis and understanding, excelling in a wide range of tasks: T2I, conditional generation, image understanding, identity preservation, multiview generation, and even camera pose estimation. Learn more at: Project: arXiv: Code (on the way):

Jiasen Lu

33,383 次观看 • 1 年前

💥Simple guide on Sapien points 💰Funding - $15M 💯FREE ✅Confirmed #Airdrop 👇Steps 🔗 ✅Sign up with email ✅Go to points dashboard ✅Link wallet ✅Link socials ✅Go to task dashboard 1️⃣Breakfast image upload ✅Upload any food image ✅Enter details ✅Submit 🪙50points 2️⃣Vehicle positioning ✅U will be shown a vehicle image ✅Select image position 🪙10 points 🔂U can repeat this task & earn as many points as u want 3️⃣Complete other task to earn $USD 💥Done 💙Like 🔁RT
1:52

💥Simple guide on Sapien points 💰Funding - $15M 💯FREE ✅Confirmed #Airdrop 👇Steps 🔗 ✅Sign up with email ✅Go to points dashboard ✅Link wallet ✅Link socials ✅Go to task dashboard 1️⃣Breakfast image upload ✅Upload any food image ✅Enter details ✅Submit 🪙50points 2️⃣Vehicle positioning ✅U will be shown a vehicle image ✅Select image position 🪙10 points 🔂U can repeat this task & earn as many points as u want 3️⃣Complete other task to earn $USD 💥Done 💙Like 🔁RT

CryptoTelugu

60,974 次观看 • 1 年前

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:
2:09

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

Tencent Hy

412,523 次观看 • 8 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

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

👇Here is how I found checker image from official website 🔗 ✅Go to explore, hub ✅Connect wallet ✅Add /airdrop to url ✅Right click "inspect" ✅Ctrl+f ✅Search "eligibility" ✅Copy text, find png ✅Copy png url & check allocation 💥Done 💙Like 🔁RT
1:03

👇Here is how I found checker image from official website 🔗 ✅Go to explore, hub ✅Connect wallet ✅Add /airdrop to url ✅Right click "inspect" ✅Ctrl+f ✅Search "eligibility" ✅Copy text, find png ✅Copy png url & check allocation 💥Done 💙Like 🔁RT

CryptoTelugu

144,052 次观看 • 9 个月前

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

How to use Grok's Image Editing Feature? Click "Edit Image," upload your image, and describe the changes you want to make.
0:22

How to use Grok's Image Editing Feature? Click "Edit Image," upload your image, and describe the changes you want to make.

DogeDesigner

96,205 次观看 • 1 年前

a year ago, i launched text-behind-image as a 16 y/o went viral with it, grew to 400K+ users today, i'm excited to introduce to you image-behind-image brought to u w/ Cursor + the OG text behind image guy in 1 hr! create image behind image designs easily (link below) 👇
3:16

a year ago, i launched text-behind-image as a 16 y/o went viral with it, grew to 400K+ users today, i'm excited to introduce to you image-behind-image brought to u w/ Cursor + the OG text behind image guy in 1 hr! create image behind image designs easily (link below) 👇

Rexan Wong

25,772 次观看 • 10 个月前

Kling AI Skill Now Live! No complex configs, no model adaptation! One-stop encapsulation of Kling API core powers: ✅ Text/Image-to-Video + Intelligent Storyboard ✅ 4K Image Gen + Style Transfer + Image Series ✅ Custom Element Library & cross-scene consistency ✅ Natural language integration + full Agent compatibility (Claude Code/Cursor/OpenClaw/Codex/Copilot/Opencode & more) Slash dev costs, supercharge creative delivery. 🎁 Limited-time OpenClaw Friendly Trial Packages available today! 👉 Check & get started:
1:16

Kling AI Skill Now Live! No complex configs, no model adaptation! One-stop encapsulation of Kling API core powers: ✅ Text/Image-to-Video + Intelligent Storyboard ✅ 4K Image Gen + Style Transfer + Image Series ✅ Custom Element Library & cross-scene consistency ✅ Natural language integration + full Agent compatibility (Claude Code/Cursor/OpenClaw/Codex/Copilot/Opencode & more) Slash dev costs, supercharge creative delivery. 🎁 Limited-time OpenClaw Friendly Trial Packages available today! 👉 Check & get started:

Kling AI

44,330 次观看 • 1 个月前

Rodin Gen-2 API node, Rodin’s most powerful image-to-3D tool, is now live in ComfyUI! Turn any image into a 3D model with one click. It supports 4× Mesh Quality, T/A Pose, PBR textures, and Multiview to 3D model. 👇 Try it now in ComfyUI!
0:29

Rodin Gen-2 API node, Rodin’s most powerful image-to-3D tool, is now live in ComfyUI! Turn any image into a 3D model with one click. It supports 4× Mesh Quality, T/A Pose, PBR textures, and Multiview to 3D model. 👇 Try it now in ComfyUI!

ComfyUI

19,076 次观看 • 8 个月前

🚀 Excited to introduce Qwen-Image-Edit! Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing. ✨ Key Features ✅ Accurate text editing with bilingual support ✅ High-level semantic editing (e.g. object rotation, IP creation) ✅ Low-level appearance editing (e.g. addition/delete/insert) Try it now: Hugging Face: ModelScope: Blog: Github: API:
1:25

🚀 Excited to introduce Qwen-Image-Edit! Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing. ✨ Key Features ✅ Accurate text editing with bilingual support ✅ High-level semantic editing (e.g. object rotation, IP creation) ✅ Low-level appearance editing (e.g. addition/delete/insert) Try it now: Hugging Face: ModelScope: Blog: Github: API:

Qwen

658,071 次观看 • 9 个月前

Image to Text ROS2
0:25

Image to Text ROS2

Taiga

486,069 次观看 • 2 年前

We have released a new Sticker tool! You can now place any image onto your textures! ✅ Just select an image and click to place it ✅ Switch between drawing in 3D or 2D view Be sure to try out this new feature and expand your creative possibilities even further. #VRoid
0:38

We have released a new Sticker tool! You can now place any image onto your textures! ✅ Just select an image and click to place it ✅ Switch between drawing in 3D or 2D view Be sure to try out this new feature and expand your creative possibilities even further. #VRoid

Official VRoid

10,988 次观看 • 3 个月前

Step into the future of AI image generation with Qwen-Image! From superior text rendering to consistent image editing across multiple languages, it sets a new benchmark! 💡What will you create with Qwen-Image?
0:28

Step into the future of AI image generation with Qwen-Image! From superior text rendering to consistent image editing across multiple languages, it sets a new benchmark! 💡What will you create with Qwen-Image?

Alibaba Group

203,475 次观看 • 10 个月前

Meet our new and fast 3D sculpting model! ✅ Single image to mesh with detailed geometry in the order of minutes (more GPUs coming to get to <30-60s) ✅ Dense mesh re-topology using our custom language model (minutes) Available on all Cube plans:
0:51

Meet our new and fast 3D sculpting model! ✅ Single image to mesh with detailed geometry in the order of minutes (more GPUs coming to get to <30-60s) ✅ Dense mesh re-topology using our custom language model (minutes) Available on all Cube plans:

Common Sense Machines

53,289 次观看 • 1 年前

𝐒𝐔𝐏𝐈𝐑: An advanced image restoration method that combines generative prior and model scaling,using a 20-million image dataset, and can manipulate restorations with textual prompts. Kudos to Fanghua Yu Jinjin Gu Xintao Wang et al🚀 SUPIR supports Gradio demo in repo [links👇]
0:24

𝐒𝐔𝐏𝐈𝐑: An advanced image restoration method that combines generative prior and model scaling,using a 20-million image dataset, and can manipulate restorations with textual prompts. Kudos to Fanghua Yu Jinjin Gu Xintao Wang et al🚀 SUPIR supports Gradio demo in repo [links👇]

Gradio

56,351 次观看 • 2 年前

Phoenix GenAI’s new generative AI model Image-to-3D is now online. Create high fidelity 3D models importable to Unreal Engine 5 or Unity simply by sending an original image into PhoenixLLM. Better yet, generate the source image using Phoenix GenAI’s Flux and feed it into Image-to-3D. This release marks yet another upgrade of GenAI’s arsenal of capabilities, getting it ready for multi-workflow GenAI agents, in which users will be able to combine text-to-image, image-to-prompt, text-to-video, text-to-3D, and image-to-3D into complex multi-step workflows with simple commands via PhoenixLLM. Image-to-3D is yet another addition to Phoenix’s Vertical AI Solutions for gaming, content, and metaverse. Users are able to use it as a Phoenix-native alternative to SkyNet AI Marketplace’s Tripo Integration earlier this year. #Phoenix $PHB
1:37

Phoenix GenAI’s new generative AI model Image-to-3D is now online. Create high fidelity 3D models importable to Unreal Engine 5 or Unity simply by sending an original image into PhoenixLLM. Better yet, generate the source image using Phoenix GenAI’s Flux and feed it into Image-to-3D. This release marks yet another upgrade of GenAI’s arsenal of capabilities, getting it ready for multi-workflow GenAI agents, in which users will be able to combine text-to-image, image-to-prompt, text-to-video, text-to-3D, and image-to-3D into complex multi-step workflows with simple commands via PhoenixLLM. Image-to-3D is yet another addition to Phoenix’s Vertical AI Solutions for gaming, content, and metaverse. Users are able to use it as a Phoenix-native alternative to SkyNet AI Marketplace’s Tripo Integration earlier this year. #Phoenix $PHB

Phoenix AI

30,853 次观看 • 1 年前

2. Use the generated image as an image prompt for Runway or any video model that supports End-Frames. Use the image as the final/last frame and create a prompt that reveals the image in an ink-style animation. Example prompt:
0:21

2. Use the generated image as an image prompt for Runway or any video model that supports End-Frames. Use the image as the final/last frame and create a prompt that reveals the image in an ink-style animation. Example prompt:

Halim Alrasihi

14,596 次观看 • 1 年前

DiffSplat Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation DiffSplat is a generative framework to synthesize 3D Gaussian Splats from text prompts & single-view images in ⚡️ 1~2 seconds. It is fine-tuned directly from a pretrained text-to-image diffusion model.
0:24

DiffSplat Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation DiffSplat is a generative framework to synthesize 3D Gaussian Splats from text prompts & single-view images in ⚡️ 1~2 seconds. It is fine-tuned directly from a pretrained text-to-image diffusion model.

AK

38,416 次观看 • 1 年前