Загрузка видео...

Не удалось загрузить видео

На главную

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

Gradio's profile picture

Gradio

52,190 subscribers

135,047 просмотров • 1 год назад •via X (Twitter)

Наука и технологииОбразованиеИскусство
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля Gradio
Gradio1 год назад

Object Cutter Powered By Refiners Gradio App:

Фото профиля Gradio
Gradio1 год назад

Object Cutter is built by @finegrain_ai 💪This Space uses two custom components📷: > by @evilpingwin > by Edgar Gracia Larrosa (for Bounding Boxes) 🔓Finegrain-Box-Segmenter model is open sourced on @huggingface Hub and is MIT licensed🥳:

Фото профиля AI Furry Art (SFW-ish)
AI Furry Art (SFW-ish)1 год назад

All these background removal tools have the same issue for me, they cut out character's heads and treat their bodies and clothes as background.

Фото профиля NeuralNinja AI
NeuralNinja AI1 год назад

I'm excited to try Object Cutter, it looks like a powerful tool!

Фото профиля INDEX 3D
INDEX 3D1 год назад

@kash_cg_art

Фото профиля llmstock.com mc
llmstock.com mc1 год назад

nice app

Фото профиля Gradio
Gradio1 год назад

💯

Фото профиля ___raf stahelin___
___raf stahelin___1 год назад

How about text remover

Фото профиля Critiqs AI
Critiqs AI1 год назад

Looks great

Фото профиля Sudeep Shouche
Sudeep Shouche1 год назад

This works very well, tried with a few images of scattered tiny puzzle pieces and happy with the results👍🏼

Фото профиля Gradio
Gradio1 год назад

That's great thanks for sharing!

Похожие видео

Google announces InseRF Text-Driven Generative Object Insertion in Neural 3D Scenes paper page: InseRF generates an object in a 3D scene via a text prompt and one 2D bounding box
1:35

Google announces InseRF Text-Driven Generative Object Insertion in Neural 3D Scenes paper page: InseRF generates an object in a 3D scene via a text prompt and one 2D bounding box

AK

205,943 просмотров • 2 лет назад

Higgsfield Mod for Minecraft is live. > prompt any building or city, even the Statue of Liberty > create paintings with text-to-image > snap a view and restyle it with image-to-image > make videos from a prompt with text-to-video. > animate in-game photos with image-to-video
0:34

Higgsfield Mod for Minecraft is live. > prompt any building or city, even the Statue of Liberty > create paintings with text-to-image > snap a view and restyle it with image-to-image > make videos from a prompt with text-to-video. > animate in-game photos with image-to-video

Higgsfield AI 🧩

439,457 просмотров • 5 дней назад

⚡️ New on Lovart: Move Object → Select any object with rectangular or lasso tool → Move it wherever you want → Prompt optional modifications → One clean, consistent image No masks. No layers. No re-roll.
0:39

⚡️ New on Lovart: Move Object → Select any object with rectangular or lasso tool → Move it wherever you want → Prompt optional modifications → One clean, consistent image No masks. No layers. No re-roll.

LovartAI

514,651 просмотров • 2 месяцев назад

In Prompt Engineering for Vision Models, taught by Abby Jacques Verre and Caleb Kaiser of Comet , you’ll learn how to prompt and fine-tune vision models for personalized image generation, image editing, object detection and segmentation. The prompts you'll use for vision models could be text, point coordinates, or bounding boxes, depending on the model. You'll also learn to tune hyperparameters to shape the output. Models you'll use include Segment-Anything Model (SAM), OWL-ViT, and Stable Diffusion. You'll also learn to fine-tune Stable Diffusion to generate personalized images (say, an image of a specific person), using a handful of images for training. As an example of a multi-step workflow, you'll use OWL-ViT to detect an object based on a text prompt, then pass the bounding box to SAM to create a segmentation mask, and input that mask into Stable Diffusion to replace the original object with a new one based on a text prompt. Controlling vision models can be tricky; this course will teach prompting and fine-tuning techniques to get precise control over their output. Get started here:
4:17

In Prompt Engineering for Vision Models, taught by Abby Jacques Verre and Caleb Kaiser of Comet , you’ll learn how to prompt and fine-tune vision models for personalized image generation, image editing, object detection and segmentation. The prompts you'll use for vision models could be text, point coordinates, or bounding boxes, depending on the model. You'll also learn to tune hyperparameters to shape the output. Models you'll use include Segment-Anything Model (SAM), OWL-ViT, and Stable Diffusion. You'll also learn to fine-tune Stable Diffusion to generate personalized images (say, an image of a specific person), using a handful of images for training. As an example of a multi-step workflow, you'll use OWL-ViT to detect an object based on a text prompt, then pass the bounding box to SAM to create a segmentation mask, and input that mask into Stable Diffusion to replace the original object with a new one based on a text prompt. Controlling vision models can be tricky; this course will teach prompting and fine-tuning techniques to get precise control over their output. Get started here:

Andrew Ng

151,198 просмотров • 2 лет назад

Learn the art of transparent object background removal like a pro
1:00

Learn the art of transparent object background removal like a pro

Photoshop Expert

59,794 просмотров • 1 год назад

Learn the art of transparent object background removal like a pro
1:00

Learn the art of transparent object background removal like a pro

Photoshop Tricks!

257,590 просмотров • 2 лет назад

🔥 DreamEngine revolutionizes image generation with its text-guided object fusion capabilities! The demo and code for Text Guided Object Fustion are released! Let's unlock the Imaginations! Run it locally now in: Paper:
0:27

🔥 DreamEngine revolutionizes image generation with its text-guided object fusion capabilities! The demo and code for Text Guided Object Fustion are released! Let's unlock the Imaginations! Run it locally now in: Paper:

Liang Chen

11,357 просмотров • 1 год назад

It’s crazy 🤯🔥 With just one image and a basic prompt, #Sora2 can generate insanely badass ad concepts 🎥⚡ Prompt : Make a professional ad for (your product, object, car,...)
0:30

It’s crazy 🤯🔥 With just one image and a basic prompt, #Sora2 can generate insanely badass ad concepts 🎥⚡ Prompt : Make a professional ad for (your product, object, car,...)

Pierrick Chevallier | IA

32,505 просмотров • 8 месяцев назад

Introducing Agentic Object Detection! Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, we use an agentic workflow to reason at length and detect the specified objects. No need to label any training data. Watch the video for details.
2:09

Introducing Agentic Object Detection! Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, we use an agentic workflow to reason at length and detect the specified objects. No need to label any training data. Watch the video for details.

Andrew Ng

397,697 просмотров • 1 год назад

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 просмотров • 1 год назад

Three new open-source models just landed in ComfyUI natively: → Gemma 4 (Google DeepMind) - multimodal LLM handling text, image, audio, and video input with built-in step-by-step reasoning mode → VOID (Netflix) - video object removal that also erases shadows, reflections, and physical interactions caused by the removed subject → BiRefNet - high-res background & object segmentation, one of the most-used segmentation models in the ecosystem Workflows and blog linked below 👇
0:20

Three new open-source models just landed in ComfyUI natively: → Gemma 4 (Google DeepMind) - multimodal LLM handling text, image, audio, and video input with built-in step-by-step reasoning mode → VOID (Netflix) - video object removal that also erases shadows, reflections, and physical interactions caused by the removed subject → BiRefNet - high-res background & object segmentation, one of the most-used segmentation models in the ecosystem Workflows and blog linked below 👇

ComfyUI

218,300 просмотров • 27 дней назад

Add cool stippling effect directly in Figma 🛠️ Work on any object or image. Final output in vector.
0:25

Add cool stippling effect directly in Figma 🛠️ Work on any object or image. Final output in vector.

vijay verma

48,236 просмотров • 11 месяцев назад

With Replit ⠕ Design, you can create high-quality scroll animations for your landing pages in under five minutes— all from a single prompt.
0:22

With Replit ⠕ Design, you can create high-quality scroll animations for your landing pages in under five minutes— all from a single prompt.

Vaibhav Kumar

180,359 просмотров • 4 месяцев назад

ElevenLabs Music is here. Generate studio-quality tracks instantly in any genre, style, vocals or instrumental, all with a simple text prompt.
0:30

ElevenLabs Music is here. Generate studio-quality tracks instantly in any genre, style, vocals or instrumental, all with a simple text prompt.

Replicate

27,751 просмотров • 7 месяцев назад

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 просмотров • 1 год назад

Copy + paste! Create 3D models of real world items, like magic, by just circling an object or an image with your finger. Resize and place it in your space with "Ctrl+C" by Tejas Shroff.
0:25

Copy + paste! Create 3D models of real world items, like magic, by just circling an object or an image with your finger. Resize and place it in your space with "Ctrl+C" by Tejas Shroff.

Spectacles

17,341 просмотров • 5 месяцев назад

How can we learn 3D visual grounding with natural supervision—only looking at QA pairs, without ground truth bounding boxes or object classification labels? We inject explicit language priors, e.g., the symmetric property that A near B ⇒ B near A, in structured vision models.
2:16

How can we learn 3D visual grounding with natural supervision—only looking at QA pairs, without ground truth bounding boxes or object classification labels? We inject explicit language priors, e.g., the symmetric property that A near B ⇒ B near A, in structured vision models.

Joy Hsu

14,843 просмотров • 2 лет назад

Another cool stuff from NVIDIA. LocateAnything - high-speed visual search engine. You provide a text prompt and it instantly pinpoints that object's exact location in an image. - 10x speedup for dense object detection - Qwen2.5-3B + Moon-ViT - Fast/Slow/Hybrid modes - trained on 138M samples for UI, docs, generic grounding.
0:16

Another cool stuff from NVIDIA. LocateAnything - high-speed visual search engine. You provide a text prompt and it instantly pinpoints that object's exact location in an image. - 10x speedup for dense object detection - Qwen2.5-3B + Moon-ViT - Fast/Slow/Hybrid modes - trained on 138M samples for UI, docs, generic grounding.

Wildminder

50,394 просмотров • 14 дней назад

Code released: "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"
1:10

Code released: "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"

MrNeRF

22,119 просмотров • 2 лет назад