Flux Multi functional Bottom Mold User Guide

In the field of infinite creativity in digital creation, an excellent base mold is the key to unlocking wonderful works. Flux multifunctional bottom mold is such a valuable tool that creators should pay attention to. It combines advanced technology and unique style, injecting new vitality into the creation of different scenes.

1、 Bottom mold characteristics

The Flux bottom mold is carefully crafted based on a powerful flux dev training system, like a versatile player with excellent adaptability, capable of easily handling any creative challenge. It has the core advantage of creating a unique visual aesthetic with high P and high paste, accurately simulating the texture style of daily internet celebrity images. This typical style can create a unique visual effect. Whether it's shaping the charming image in internet celebrity style photos, adding eye-catching elements to e-commerce design, or laying the foundation for stylized creation, Flux bottom molds can play a crucial role.

2、 Usage method

（1） Online operation

Subject support: Although it supports "1girl" subject generation, due to its superior performance in handling long text descriptions, the stability of "1girl" subject generation is slightly insufficient, so it is not a highly recommended usage method.

Negative tags: It is recommended to directly use the default negative tags on the wiring, including ng_deepnegative-v1_75t (badhandv4:1.2)、EasyNegative、(worst quality:2)， These labels can optimize the quality of generated images and avoid unnecessary flaws.

（2） Local deployment

Workflow and Weight: Refer to the workflow in the example diagram and set the weight to 0.9. This is an ideal parameter obtained through repeated testing, which can help you achieve satisfactory image generation results.

Workflow acquisition methods: There are two convenient ways to obtain workflows. Firstly, carefully refer to the detailed steps in the example diagram; Secondly, download dev/fp8- Wenshengtu workflow from FLUX+SDXL - Refiner Shengtu matrix.

Hardware requirements: To ensure the accuracy and quality of the generated images, it is recommended to set the number of generation steps to 30 or more. At the same time, it is recommended that the video memory of locally deployed devices reach at least 12GB, in order to provide sufficient computing power for image generation and avoid poor performance caused by insufficient hardware.

3、 Usage restrictions

（1） Platform hosting restrictions

It is strictly prohibited to place the base model and its derivative versions (such as fusion models) on any website or application for profit or donation purposes. If you need to use this template and its derivative versions for commercial purposes (such as generating services, selling images, using it for short video platform articles, e-commerce design or publications, etc.), please contact me through the website to obtain relevant authorization.

（2） Image Sales Rules

Directly selling images generated from the base mold is strictly prohibited. If you want to sell, you must make deep manual modifications to the image so that it can be fully recognized as a personal original creation at the legal level

One thought Girlfriend - Z-image-Turbov2