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T2i Adapter Sdxl Depth Midas

alaradirik

📊

The t2i-adapter-sdxl-depth-midas model is a system that modifies images based on depth maps. The model employs a type of conditioning, a process that affects the output of the model by manipulating input data. The input parameters to the model include the image URL, a descriptive prompt, scheduling settings, guidance scale, negative prompts, inferences steps, and conditioning factors. The output of the model consists of two URLs that lead to the modified image and the intermediates steps of the process, respectively. It is capable of creating photo-realistic images from prompts while avoiding certain undesired aspects mentioned in the "negative_prompt". The images generated are of high quality as specified in the initial prompt.

Use cases

The t2i-adapter-sdxl-depth-midas AI model is designed to refine images using depth maps. Therefore, there are numerous potential use cases in industries that utilize image manipulation and visual effects. For instance, in the film and gaming industry, this model could be utilized to generate more realistic graphics based on image depths. The model could also have applications in the real estate industry, where it can be used to enhance the quality of property images captured for marketing purposes, giving potential buyers a better understanding of depth and scale. Furthermore, this model might also be beneficial in automated driving systems, providing depth information to help vehicles navigate their environment more accurately. As for product development, the model could be integrated into photo editing software to introduce a new feature that optimizes images using depth data. Another potential product could be a mobile application designed to enhance personal photographs, thus offering its users the ability to capture images with professional quality. Additionally, the model could also be repurposed into a practical tool for professionals like architects, interior designers, or landscape artists who need to visualize and communicate spaces' depth and details.

Pricing

Cost per run
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USD
Avg run time
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Hardware
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Prediction

Creator Models

ModelCostRuns
Dreamgaussian$?657
Inst Inpaint$?251
T2i Adapter Sdxl Openpose$?4,645
Lightweight Openpose$?1,442
Nougat$?2,430

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Overview

Summary of this model and related resources.

PropertyValue
Creatoralaradirik
Model NameT2i Adapter Sdxl Depth Midas
Description
Modify images using depth maps
Tags
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv

Popularity

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PropertyValue
Runs60,202
Model Rank
Creator Rank

Cost

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