Get a weekly rundown of the latest AI models and research... subscribe! https://aimodels.substack.com/

Controlnet Seg

jagilley

AI model preview image
The controlnet-seg model is designed to modify images using semantic segmentation. Semantic segmentation is the process of classifying each pixel in an image into different categories or classes. This model allows users to manipulate images based on these semantic labels, making it easier to edit specific objects or areas within an image.

Use cases

The controlnet-seg model has various potential use cases for technical audiences. One possible application is in the field of image editing or manipulation, where users can leverage semantic segmentation to precisely modify specific objects or regions within an image. This can be particularly useful in scenarios such as background removal, object insertion or removal, and selective color modifications. Additionally, the model can be incorporated into computer vision systems for tasks like object recognition, where semantic segmentation can aid in accurately identifying and analyzing objects in an image. With this AI model, developers and researchers can explore and create a range of products, such as user-friendly image editing software, smart photo filters, or advanced computer vision algorithms that enhance object detection and understanding in real-world scenarios.

Image-to-Image

Pricing

Cost per run
$0.0368
USD
Avg run time
16
Seconds
Hardware
Nvidia A100 (40GB) GPU
Prediction

Creator Models

ModelCostRuns
Controlnet Hed$0.0184391,201
Controlnet Normal$0.0368328,635
Controlnet Pose$0.0391168,063
Stable Diffusion Upscaler$?3,136
Controlnet Scribble$0.043737,573,553

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Controlnet Seg model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.

Overview

Summary of this model and related resources.

PropertyValue
Creatorjagilley
Model NameControlnet Seg
Description
Modify images using semantic segmentation
TagsImage-to-Image
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkNo paper link provided

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs162,983
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

PropertyValue
Cost per Run$0.0368
Prediction HardwareNvidia A100 (40GB) GPU
Average Completion Time16 seconds