Data Visualization FLUX.1-Visualdata Data Report Design

Data Visualization Report Design-FLUX.1-DataVis-AiARTiST

🔥 New image generation model FLUX.1 with fine image quality of 16-channel VAE

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From the model architecture perspective, FLUX.1 and V3 have many similarities. They are both models based on FlowingMatching scheduling and enhance prompt compliance by introducing T5. A significant difference is that the Flux model introduces a structure called DoubleStreamBlock. Specifically, in the first few layers, txt and img embedding independently pass through their own transformer blocks, then are concatenated and pass through a unified transformer block.

Current sampling methods supported in Liblib online WEBUI mode include FlowMatchEuler,

Embedding is compatible with SD1.5; using SDXL may cause issues (not absolute).

CFG recommends 3.5; users can adjust it between 2.5~3.5 as needed.

Default sampling steps are 20, adjustable as needed (Hyper FLUX supports generating images in 10 steps)

🔥 This version supports dual model image generation in Liblib platform online WEBUI and ComfyUI mode, balancing speed and quality!

🔥 FLUX.1 has achieved good results in text control capability, large-format generation capability, and structural generation capability.

This model is an open-source free model, online image generation is free and automatically obtains commercial authorization.

Local deployment and customized training, precise style and concept training, and enterprise internal training are fee-based services

For specific inquiries, contact us: 18008889980 | WeChat: Zyuan980

🔥 Open Source Model Community Knowledge Base

https://x1f3ewlrcf.feishu.cn/wiki/BjJ1waQaLitPB4k7Lbvc0MaVnzb

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Model Usage Disclaimer:

1. You are not allowed to host this model and its derivative versions (such as fusion model versions) on websites/applications intended to generate income or receive donations.

2. You may not directly sell this model and its derivative versions (such as fusion model versions) unless you have made sufficient manual modifications to the model to be considered your personal work in a legal sense. If you violate this clause, you will be personally responsible for all legal consequences, for which I disclaim any responsibility.

3. You cannot use this model to intentionally create or share illegal or harmful content for distribution and output. Please abide by social ethics and utilize this model for positive and constructive purposes.

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AiARTiST | Metaverse China · Shandong Digital Human/AiGC/Metaspace Direction