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FLUX.1 Schnell RealFlux 1.0b Gguf
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FLUX.1 Schnell RealFlux 1.0b Gguf
Developed by belisarius
A quantized version based on the RealFlux 1.0b Schnell model, focusing on text-to-image generation tasks, containing only the UNet module and supporting multiple quantization levels.
Downloads 104
Release Time : 9/25/2024
Model Overview
This is a quantized text-to-image generation model developed based on the RealFlux 1.0b Schnell model, without integrated Clip-l/T5xxl modules, supporting multiple quantization levels from q2 to q8.
Model Features
Multi-level quantization support
Supports multiple quantization levels from q2 to q8, allowing users to balance model size and performance as needed
Streamlined architecture
Includes only the UNet module without Clip-l/T5xxl integration, maintaining a lightweight model
Efficient inference
The quantized version significantly reduces computational resource requirements while maintaining good generation quality
Model Capabilities
Text-to-image generation
Image synthesis
Creative content generation
Use Cases
Creative design
Concept art creation
Generate concept art images based on text descriptions
Quickly produces artworks that match the description
Advertising material generation
Automatically generate advertising images based on product descriptions
Reduces manual design time
Education
Teaching material generation
Generate accompanying visual materials based on teaching content
Enriches teaching resources
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