#GGUF

Comparing Flux.1 Compression Formats: The Impact on Composition!

Base model accuracy impacts composition quality. Choose the base model based on available VRAM capacity. Select the text encoder ...

Is Your Illustration High-Quality? Comparing T5xxl and CLIP-L with Real Data!

A new image comparison tool is available. Improved CLIP-L in FP32 format is highly recommended. Choose Flan-T5xxl based on your ...

What Are CLIP and T5xxl ? How Text Encoders Can Make Illustrations Stunning!

CLIP is the foundational technology for image generation. T5xxl enhances prompt comprehension. Enhanced text encoders are publi...

Optimize Your Flux.1 Experience! How to Use GGUF Format with Forge and ComfyUI

Save memory with the GGUF format. Choose a compression format that matches your VRAM capacity. Use flux_tool to create the opt...

[Flux.1] Which is the Best Model Format? A Thorough Comparison of FP16, Q_8, Q_4, and NF4!

Compression formats affect image quality. Upscaling is also effective with Flux.1. Choose according to your VRAM.

[Flux.1] It runs Smoothly with 6GB VRAM! A Recommendation for Using --novram

Flux.1 runs smoothly with 16GB VRAM With --novram, it works with just 6GB VRAM Ideally, have 32GB system RAM