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Shuttle 3 Diffusion GGUF
The Shuttle-3 Diffusion Model is an efficient text-to-image AI model that can create detailed and diverse images from text prompts in just 4 steps.
Downloads 4,622
Release Time : 11/13/2024
Model Overview
This model shows significant improvements in image quality, typography design, complex prompt understanding, and resource efficiency, making it ideal for rapid generation of high-quality images.
Model Features
Efficient Generation
Generates high-quality images in just 4 steps, significantly improving generation efficiency.
Rich Details
Breaks through limitations with special training methods, significantly enhancing detail expression and color accuracy.
Multi-Precision Support
Offers multiple precision versions including bfloat16, GGUF, and fp8 to accommodate different hardware needs.
Refinement Mode
When using more than 10 steps, the model enters refinement mode, enhancing image details without altering the composition.
Model Capabilities
Text-to-image
Image detail enhancement
Fast image generation
Use Cases
Creative Design
Art Creation
Quickly generates artwork based on text prompts.
Produces detailed and diverse images.
Typography Design
Generates images with complex typography designs.
Improves the quality and efficiency of typography design.
Education
Teaching Material Generation
Generates relevant image materials based on teaching content.
Quickly produces high-quality teaching images.
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