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Turbo Enigma

shefa

AI model preview image
Turbo-enigma is an AI model that utilizes SDXL based text-to-image functionality, applying a method called Distribution Matching Distillation. It supports fast zero-shot identity generation, generating images based on given text prompts in 2-5 seconds. It takes input in the form of image data, a seed, prompt text, embeddings, and the desired width and height of the output image. The output of the model is the URL of the generated image.

Use cases

The Turbo-Enigma model, which is a SDXL based text-to-image AI, offers various uses for both professional and personal applications. Innovative applications could involve generating custom artwork or storyboarding based on narrative inputs or textual descriptions. The model's ability to generate images rapidly, within 2-5 seconds, makes it ideal for real-time content generation in gaming, virtual reality, or augmented reality experiences. The AI could potentially be used for educational purposes, transforming complex textual concepts into understandable visual representations. In the realm of advertising or social media, the model could create customized digital content based on user's inputs or preferences. The technology could also see use in the fashion industry, generating new outfit ideas or styles based on textual prompts. For personal use, it can be used to create customized digital wallpapers, personal avatars, or event decor elements based on specific themes or ideas from the user. The main implication is the creation of AI-driven applications or platforms that allow users to generate personalized visual content.

Text-to-Image

Pricing

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Overview

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PropertyValue
Creatorshefa
Model NameTurbo Enigma
Description

SDXL based text-to-image model applying Distribution Matching Distillation,...

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TagsText-to-Image
Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
Paper LinkView on Arxiv

Popularity

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Runs972,347
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Cost

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