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Controlnet X Majic Mix Realistic X Ip Adapter

usamaehsan

AI model preview image
The model, controlnet-x-majic-mix-realistic-x-ip-adapter, is designed to work with inpainting and multi-controlnet as well as single-controlnet. It can also function with or without an ip-adapter. The model takes inputs like a prompt, images for lineart and ip-adapter, various conditioning scales and other specific parameters. The output of the model is a processed image. It's used to create images with specific characteristics and quality based on the given inputs. It has a wide range of applications including image enhancement, editing and manipulation.

Use cases

The AI model, Controlnet-x-majic-mix-realistic-x-ip-adapter, bears relevancy in various use cases, particularly those requiring image manipulation and digital inpainting. This AI model functions with multicontrolnet and single-controlnet, as well as with an ip-adapter and without one. It collects information such as image size, the number of outputs, guidance scale, and image conditioning parameters to provide an output image. One feasible use would be in the realm of digital artistry where it could be employed to create varied artistic versions of an input image. Similarly, it could be useful in the field of image restoration, where it could fill in missing or damaged parts of a photograph. Additionally, it might find relevance in online platforms, where the model could be used to remove watermarks from images or enhance low-resolution images to a superior quality. Further, it could be well-suited to applications that allow users to apply a personalizable artistic filter on their photos. In the entertainment industry, this model can be applied for creating concept arts and cinematic visual effects. In the architectural field, it can be employed to produce realistic renders of building models. A potential product could be a dedicated software solution, designed to leverage this model's capabilities, offering services to a varied user base from individual consumers to business clients.

Pricing

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Avg run time
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Prediction

Creator Models

ModelCostRuns
Controlnet Lineart Inpainting X Realistic Vision V5$?442
Multi Controlnet X Consistency Decoder X Realestic Vision V5$?2,862
Instant Id X Juggernaut$?28,867
Swap Sd$?5,655
Controlnet X Ip Adapter Realistic Vision V5$?137,315

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Overview

Summary of this model and related resources.

PropertyValue
Creatorusamaehsan
Model NameControlnet X Majic Mix Realistic X Ip Adapter
Description

works with inpainting and multi-controlnet + single-controlnet || ip-adapte...

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Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
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
Runs21,199
Model Rank
Creator Rank

Cost

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PropertyValue
Cost per Run$-
Prediction Hardware-
Average Completion Time-