Releasing Flan-T5xxl_TE-only in FP32, FP16, and GGUF Formats!
Flan-T5xxl is a new-generation text encoder. TE-only extracts only the parts needed for image generation. GGUF format is an ev...
#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 converts text to vectors T5xxl understands context Enhanced text encoders are publicly available
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 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