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v1.0
MAJICFLUS_麦橘超紫

MAJICFLUS_麦橘超紫

5
1
0
#Style
#FLUX

This model is trained based on the MajicFlux model ecosystem, focusing on purple stylization. It requires the Majicflus model for optimal performance, and using it with Flux_dve may not yield satisfactory results.

I personally use Forge for image generation, and users can customize their workflow with Majicflus as needed.

Technical Parameters:

  • CFG: Default 3.5

  • Sampling steps: Default 20, can be increased to 30 if needed

  • LoRA weight: 0.7

  • Additional face and hand refinement (AD) is recommended for portraits with smaller face/body proportions

Trigger word: zise

Example prompt: A girl in a dress stands in front of a purple vintage background, with mist swirling around.,zise

"MAJICFLUS_麦橘超紫" Model (hereinafter referred to as "the Model") is developed and released by [DonRat] (hereinafter referred to as "the Owner"), based on MajicFlux's FLUX-lora model.

License Terms:
The Owner grants individuals and organizations permission to use images generated by this model free of charge for non-commercial educational or informational purposes, provided that:

  • Users comply with relevant laws and do not infringe upon the legal rights of the model or any third parties

  • Attribution must be given as "Generated by [DonRat]'s 'MAJICFLUS_麦橘超紫' Model" when using the images

For commercial use, a commercial license agreement must be signed with the Owner. For commercial licensing and custom model inquiries, please contact the Owner through their profile information.

The Owner will continue to provide free model updates to individual users as a gesture of support for community open-source contributors. Commercial user partnerships help drive the development and continuous improvement of this model. We appreciate every user's understanding and support.

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Annuncio
2025-01-07
Pubblicare modello
2025-01-07
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Dettagli modello
Tipo
LORA
Data di pubblicazione
2025-01-07
Modello Base
Flux.1 D
Parola Chiave
zise
Copia
Introduzione alla versione

This model is trained based on the MajicFlux model ecosystem, focusing on purple stylization. It requires the Majicflus model for optimal performance, and using it with Flux_dve may not yield satisfactory results.

I personally use Forge for image generation, and users can customize their workflow with Majicflus as needed.

Technical Parameters:

  • CFG: Default 3.5

  • Sampling steps: Default 20, can be increased to 30 if needed

  • LoRA weight: 0.7

  • Additional face and hand refinement (AD) is recommended for portraits with smaller face/body proportions

Trigger word: zise

Example prompt: A girl in a dress stands in front of a purple vintage background, with mist swirling around.,zise

"MAJICFLUS_麦橘超紫" Model (hereinafter referred to as "the Model") is developed and released by [DonRat] (hereinafter referred to as "the Owner"), based on MajicFlux's FLUX-lora model.

License Terms:
The Owner grants individuals and organizations permission to use images generated by this model free of charge for non-commercial educational or informational purposes, provided that:

  • Users comply with relevant laws and do not infringe upon the legal rights of the model or any third parties

  • Attribution must be given as "Generated by [DonRat]'s 'MAJICFLUS_麦橘超紫' Model" when using the images

For commercial use, a commercial license agreement must be signed with the Owner. For commercial licensing and custom model inquiries, please contact the Owner through their profile information.

The Owner will continue to provide free model updates to individual users as a gesture of support for community open-source contributors. Commercial user partnerships help drive the development and continuous improvement of this model. We appreciate every user's understanding and support.

Ambito di Licenza
Model Source: civitai

1. I diritti dei modelli ripubblicati appartengono ai creatori originali.

2. I creatori originali che desiderano reclamare il proprio modello devono contattare il personale di SeaArt AI tramite canali ufficiali. Clicca per rivendicare

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