TIPO is strong in anime illustrations. CLIP-L offers broad creative flexibility. Florence-2 provides precise, detailed analysis. ...
Large Language Models (LLMs) understand text. Vision Language Models (VLMs) can also understand images. ChatGPT is a versatile,...
MAE and SSIM metrics have their limitations. While start is the most critical factor, other parameters also influence the results...
Dynamic Caching improves speed but can reduce quality. With the right settings, quality degradation can be minimized. Using start...
Generate captions with CLIP. Use looping workflows to create variations. Make minimal corrections when necessary.
Base model accuracy impacts composition quality. Choose the base model based on available VRAM capacity. Select the text encoder ...
A new image comparison tool is available. Improved CLIP-L in FP32 format is highly recommended. Choose Flan-T5xxl based on your ...
CLIP is the foundational technology for image generation. T5xxl enhances prompt comprehension. Enhanced text encoders are publi...
Save memory with the GGUF format. Choose a compression format that matches your VRAM capacity. Use flux_tool to create the opt...
Introduction Hello, this is Easygoing. Today’s article is a lighthearted one—perfect for when you want to empty your mind and simpl...
Introduction Hello, this is Easygoing. Today, I’d like to share what I’ve learned after two months of using Anifusion. What is A...
SDXL can handle abstract art. Flux.1 brings it to life with realism. llustrious-XL is the new anime model to watch.
Anime models offer diverse compositions SDXL excels at brightness adjustments Use controlnet to apply Flux.1
Flux.1 struggles with composition SDXL anime models excel in composition ComfyUI allows flexible combinations
Compression formats affect image quality. Upscaling is also effective with Flux.1. Choose according to your VRAM.
Flux.1 runs smoothly with 16GB VRAM With --novram, it works with just 6GB VRAM Ideally, have 32GB system RAM
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