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    FLUXTRAIT [FLUX1. DEV] for Portrait & detailed skin - V 1.0_Q6_K
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    Introducing FLUXTRAIT—the definitive FLUX checkpoint for artists who demand realism.

    I created FLUXTRAIT to solve a core problem: achieving truly photorealistic portraits and lifelike skin with the base FLUX models. This is a meticulously trained fine-tune of flux1-dev, engineered to move beyond digital perfection and into the realm of hyperrealistic, cinematic portraiture.

    If you're tired of "plasticky" or "waxy" skin and want to create characters with genuine texture, depth, and emotion, your search is over. This is a professional-grade tool designed for high-end character art, fashion photography, and concept design.

    Core Specializations

    • ✨ Hyper-Detailed Skin Texture: Say goodbye to flat, doll-like skin. FLUXTRAIT is trained to generate natural pores, subtle textures, and realistic light diffusion that brings your subjects to life.

    • 👁️ Flawless & Expressive Eyes: Fine-tuned specifically to create eyes with incredible depth, sharp reflections, and natural clarity without complex prompting.

    • 🎬 Innate Cinematic Quality: The model has a deep understanding of dramatic and moody lighting. Prompts like cinematic lighting and film grain are rendered with stunning, authentic results out-of-the-box.

    • 🔧 Simplified High-Quality Prompting: FLUXTRAIT is biased towards high quality. You can achieve professional results with simpler, more direct prompts, letting you focus on creativity instead of a long list of quality modifiers.

    NSFW FLUX-Checkpoint

    Training Configuration:

    • GPU: A6000

    • Dataset Size: 1500 images

    • Batch Size: 1

    • Optimizer: AdamW

    • Learning Rate: 1e-04

    • Total training steps: 30k

    • Training Duration: 17h+

    Please note that all my FLUX checkpoint models are still experimental, so you might encounter some issues. If you do, please let me know in the comments section. Your feedback is valuable for future improvements!

    Recommended Parameter :

    • Sampler : euler

    • Steps : 20+

    • CFG : 1

    • No VAE or CLIP is baked in. Use separate sources for those.

    Minimum Parameter :

    • Sampler : euler

    • Steps : 16+

    • CFG : 1

    LoRA's:

    • LoRA's are compatible with this checkpoint if they are trained using this model Flux Dev as the base model.

    • LoRA's trained on this model work with other Flux Dreambooth fine tune checkpoints.

    If you like my model and want to support my work, send me some buzz.

    Show Your Support!

    I pour countless hours into training, testing, and refining these models. If you enjoy FLUXTRAIT, please consider showing your support by:

    • Giving it a like ❤️

    • Posting your incredible images on this page 🖼️

    It's a massive motivation and helps me continue to develop and share these tools with the community. Thank you!

    🔥 Unlock the Full Ecosystem on Patreon 🔥

    While this checkpoint is my gift to the community, my Patreon is the lab where I develop my complete ecosystem of tools. Supporters get exclusive access to:

    • Exclusive Character & Style LoRAs: High-epoch, professional-grade models that aren't released anywhere else.

    • Advanced ComfyUI Workflows: Systems like "The 4K Influencer Studio" and "The Photoshoot Director" that plug directly into this checkpoint.

    • One-Click Cloud Templates: Fully configured ComfyUI and LoRA training labs that let you skip the setup entirely.

    Your support there is what makes this all possible.

    https://www.patreon.com/Midnightkidnaper

    Please post your pictures directly on the model card...that also helps me to continue my work.

    Description

    FAQ

    Checkpoint
    Flux.1 D

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    Details

    Downloads
    54
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    9/16/2025
    Updated
    10/9/2025
    Deleted
    10/9/2025

    Files

    fluxtraitFLUX1DEVFor_v10Q6K.gguf

    Mirrors

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.