Flux.1-Dedistilled-Mix-Tuned-fp8
| Property | Value |
|---|---|
| Parameter Count | 11.9B parameters |
| Model Type | Text-to-Image |
| License | FLUX.1 [dev] Non-Commercial License |
| Language | English |
What is Flux.1-Dedistilled-Mix-Tuned-fp8?
Flux.1-Dedistilled-Mix-Tuned-fp8 is an advanced text-to-image model that represents a significant evolution in the Flux model family. Built upon the Flux.1 Schnell architecture, this model has been specifically optimized to achieve exceptional results in just 4-8 inference steps, making it one of the most efficient models in its class.
Implementation Details
The model is implemented using the Diffusers library and incorporates several innovative techniques, including block patching and essential tuning modifications. It combines elements from LibreFLUX and has been fine-tuned using ComfyUI and Block_Patcher_ComfyUI tools.
- Built on Flux.1-schnell base architecture
- Incorporates LibreFLUX merge techniques
- Optimized for fast inference (4-8 steps)
- Supports GGUF quantization (Q8_0, Q5_1, Q4_1)
Core Capabilities
- Ultra-fast image generation (4-8 steps)
- Superior prompt adherence and style consistency
- Enhanced image quality and detail retention
- Balanced reality and style diversity
- Improved composition following original Flux Schnell style
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its ability to generate high-quality images in just 4-8 steps while maintaining strong prompt adherence and the original Flux style characteristics. It achieves an optimal balance between speed, quality, and style diversity.
Q: What are the recommended use cases?
The model excels in rapid prototyping and production scenarios where speed and quality are equally important. It's particularly suitable for applications requiring quick iterations while maintaining high-quality output and accurate prompt following.
