Flux1 Schnell Quantized
F
Flux1 Schnell Quantized
Developed by takara-ai
Flux.1 Q_4_k is a 4-bit quantized GGUF model developed by the Takara.ai research team, optimized for stable-diffusion.cpp, enabling efficient generation of high-quality images on low-end hardware.
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Release Time : 10/18/2024
Model Overview
This model is a 4-bit quantized version of the FLUX.1-schnell base model from Black Forest Labs, retaining the original model's creative capabilities while significantly reducing memory usage and computational requirements.
Model Features
4-bit quantization optimization
Optimized with 4-bit quantization technology, adapted for low-end hardware, significantly reducing memory usage and computational demands.
High-quality image generation
Despite compression, it can still generate high-quality images with minimal quality loss.
High efficiency
Faster inference speed on consumer-grade hardware, suitable for experimentation and rapid prototyping.
Broad capabilities
Versatile capabilities, not limited to dark street scenes, capable of generating various types of images.
Model Capabilities
Text-to-image generation
Urban night scene generation
Cityscape generation
Artistic expression creation
Rapid visual concept prototyping
Use Cases
Creative projects
Urban night scene generation
Generate urban night scene images for creative projects, such as the Kurai Toori dark street dataset.
High-quality urban night scene images
Artistic expression
Create unique visual expressions for art projects.
Diverse artistic images
Rapid prototyping
Visual concept prototyping
Quickly generate visual concept prototypes on consumer-grade hardware.
Rapidly iterated visual concepts
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