flux-3d-pixar-style-lora

3D Pixar Style FLUX LoRA

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Model description

✨ 3D Pixar Style - FLUX LoRA ✨

Bring the charming, expressive, and magical world of modern 3D feature animations straight into your FLUX workflow! This LoRA is meticulously trained to deliver high-end 3D character designs, vibrant lighting, rich material textures, and signature Pixar-inspired aesthetics without sacrificing facial symmetry or character consistency.

🌟 Key Features:

High Aesthetic Quality: Perfectly captures 3D animation shaders, subsurface scattering (SSS) skin textures, and volumetric lighting. Versatile Subject Support: Works flawlessly across diverse subjects—elderly characters, children, young adults, animals, vehicles, interiors, and macro objects. Anatomical Stability: Optimized to reduce eye-misalignment and over-exaggerated deformities when used with recommended weights. FLUX Native: Trained specifically for FLUX.1 Base, ensuring deep prompt comprehension and material accuracy. ⚙️ Recommended Settings:

Trigger Word: 3d pixar style (Place at the beginning of your prompt) LoRA Weight: 0.65 – 0.80 (Recommended: 0.70 - 0.80 for best balance) Flux Guidance Settings: GGUF Quantized Models (Q4_K, Q8_0, etc.): Set Guidance to 2.5 (Prevents artifacts and keeps facial features soft). FP8 / Full Precision Models (FP16): Set Guidance to 3.0. CFG Scale: 1.0 (Standard for FLUX) Sampler & Scheduler: Euler / Simple (20 - 25 Steps) 💡 Best Prompting Formula:

3d pixar style, [subject & expression], [clothing/action], [environment & lighting]

Example Prompt:

3d pixar style, a 3D portrait of a friendly elderly man with round glasses, white hair, straight gaze looking at camera, symmetrical eyes, subtle gentle smile, wearing a knitted sweater, cozy room, soft sunlight

📜 Usage & Commercial Terms:

Feel free to use this LoRA for personal and commercial image generation. If you like the results, please consider leaving a review and sharing your generations in the gallery!

Trigger words

You should use 3d pixar style to trigger the image generation.

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