All models should work properly if:
The activator keyword is included,
The enhancer keywords are included,
LoRA weight floats between {0.9 - 1.0}, each case may vary (use 0.95 to start),
Is my personal suggestion to:
use FLUX.1 DEV FP32 if possible,
employ a vast and descriptive prompt to make use of all the benefits [FLUX.1 DEV] offer,
use t5xxl fp16 when your prompt exceeds 450 tokens,
use t5xxl fp8 when your prompt exceeds 250 toknes,
HED☽NICA™ is an independent initiative focused on skill enhancement in the area of [FLUX.1 DEV] LoRA creation. This model, along with its supplementary materials, is designed to assist in managing prompts across various contexts, including the integration of LoRA. Each LoRA has been specifically trained to showcase examples of LoRA creation skills while also highlighting prevalent issues such as overfitting or suboptimal outputs resulting from inadequate datasets.
Should you find this project intriguing and wish to explore further collaborations or acquisitions, please do not hesitate to reach out to PictureT. The outputs generated from this model compilation reflect a commitment to ethical standards and shared moral principles, ensuring the responsible application of AI within [FLUX.1 DEV].
🢂 All models were trained on [FLUX.1 DEV] as base model.