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Realistic Vision V5.1


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The realistic-vision-v5.1 model is a PyTorch implementation of the Realistic Vision v5.1 model. Its purpose is to generate realistic images from textual descriptions. This version of the model is optimized for fast inference.

Use cases

The realistic-vision-v5.1 AI model has several potential use cases for technical applications. One possible use case is in the field of computer graphics, where this model could be used to generate realistic images for video games or virtual reality environments based on text descriptions. Another use case could be in advertising or e-commerce, where the model could be used to automatically generate product images based on textual descriptions. Additionally, this model could be used in the film industry to generate concept art or storyboards based on script descriptions, or in architectural design to generate realistic renderings based on text descriptions of buildings or spaces. Overall, the realistic-vision-v5.1 model has the potential to be a valuable tool in various industries where realistic image generation from text descriptions is desired. Possible products or practical uses of this model could include a user-friendly interface or API that allows users to provide text descriptions and receive realistic images as output, or a software tool that integrates with existing design software to provide real-time visualizations based on text input.


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Creator Models

Realvisxl2 Lora Inference$?1,987
Wizardcoder 15b V1$?459
Vicuna 13b V1.3$?3,554
Wizardcoder Python 34b V1.0$?830

Similar Models

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Try it!

You can use this area to play around with demo applications that incorporate the Realistic Vision V5.1 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.


Summary of this model and related resources.

Model NameRealistic Vision V5.1
Implementation of Realistic Vision v5.1 with VAE
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


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

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

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