F.1-Photography Filter-Product Portraits Landscape

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FluxLoRA-RealisticMockupsStyle BoostProduct
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Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info
Mockups,Style Boost,Product,LoRA,FLUX.1Image info

Reference drawing examples Be sure to read the introduction

Still like the simple and true large model only need a simple hint: “High-resolution photo of a piece of jewelry, lighting effects + trigger words,” “High-resolution photo of a watch, lighting effects + trigger words,” direct output of commercial portrait product photography, suitable for product portraits landscapes posters versatile

Recommended large model:Product Realism | F.1 Simple and True - E-commerce

https://www.liblib.art/modelinfo/7a8ac5d326f24e04b887abc90e59ffa3?from=personal_page

Recommended with Hanfu lora:

https://www.liblib.art/modelinfo/b7201ba044e7480797298fd0b831fcf3?from=personal_page

Recommended model parameters: Recommend using Lib online generated images, online generation running on GPU instead of CPU!

Sampling method: FlowMatchEuler          Recommended sizes: 768*1024, 720*1280

Sampling Steps: 20      Trigger Word Guiding Coefficient: CFG scale: 3 or 3.5

Attention!!! Model Weight: 0.5-0.8

1. This model is the FP8 DEV version, it is recommended to run it in SD mode.

2. Benefitting from the excellent qualities of the flux base model, this model has a lot of possibilities, and a lot of styles, please try it out yourselves

3. To contact me, please click on my profile picture to view the contact information

4. This model adheres to the relevant open source agreement of the Black Forest Studio and may not be used for commercial purposes

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0.8
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3.5
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