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Latent Consistency Model

luosiallen

🤔

The latent-consistency-model is an image-to-image synthesis model. It creates high-resolution images based on specific prompts. The model requires several inputs: width and height (which define the image resolution), prompt (which describes the desired image content), num_images (number of images to be generated), guidance_scale (regulates how closely the model should follow the supplied prompt), and num_inference_steps (determines the number of inference steps performed to produce each output image). The output from the model is a URL link to the generated image.

Use cases

The Latent Consistency Model could be utilized for a wide range of applications, particularly in the areas of art, design, entertainment, and advertising. This AI model synthesizes high-resolution images from limited input, making it especially valuable for creative professionals and industries. For instance, it could be used by artists to develop digital artwork from rudimentary sketches or concepts, allowing for an efficient transformation of ideas into high-quality visual pieces. Advertisers could leverage this AI model for producing compelling visual content based on specific prompts, enhancing the effectiveness of their campaigns. The model can also be helpful in the entertainment sector, particularly in film and gaming. Concept artists could use it to quickly generate detailed visuals for character and environment design. It also holds potential for the development of innovative products like personalized AI-painted portraits, customised digital wallpapers, or even AI-driven design software that could revolutionize digital art creation. Furthermore, its ability to create high-resolution images from few-step inference may also find utility in areas like forensic science or surveillance, using limited data to recreate detailed scenes or situations.

Image-to-Image

Pricing

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Overview

Summary of this model and related resources.

PropertyValue
Creatorluosiallen
Model NameLatent Consistency Model
Description
Synthesizing High-Resolution Images with Few-Step Inference
TagsImage-to-Image
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv

Popularity

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

PropertyValue
Runs202,603
Model Rank
Creator Rank

Cost

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