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FLUX.1 Lite GGUF

Developed by gpustack
Flux.1 Lite is a distilled 8-billion parameter Transformer model derived from FLUX.1-dev, optimized for text-to-image generation tasks, reducing memory usage while maintaining accuracy and improving speed.
Downloads 5,452
Release Time : 11/27/2024

Model Overview

Flux.1 Lite is an efficient text-to-image generation model obtained through distillation techniques from the FLUX.1-dev model, suitable for creative image generation tasks.

Model Features

Efficient Distillation
Reduces memory usage by 7GB and speeds up by 23% through distillation techniques while maintaining bfloat16 precision.
Optimized Inference
Recommended to use guidance_scale of 3.5 and set n_steps between 22 to 30 for optimal results.
Module Analysis
Based on module contribution analysis, skipping non-critical modules has minimal impact on final image quality.

Model Capabilities

Text-to-image generation
High-resolution image generation (1024x1024)
Creative image synthesis

Use Cases

Creative Design
Concept Art Generation
Generate concept art in sci-fi, fantasy, and other styles based on text descriptions.
Example: A green alien in a purple forest scene.
Commercial Design
Quickly generate visual content for advertisements and promotional materials.
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