[BSS] - IlLuxura v1.0
My first handcrafted merge — a carefully engineered blend involving layer-aware control, spatially graded attention, custom VAE integration, and fine-tuned weight adjustments.
No shortcuts. Just iteration, analysis, and a lot of manual labor.
🔧 Technical Overview
• Multi-depth UNet merge logic
• Attention layers blended by depth for smoother transitions
• Normalization layers preserved for structural consistency
• Integrated custom VAE for refined tone and contrast behavior
• Final merge pass includes a custom-trained LoRA blended at 0.50 strength
✅ Positive Prompt Suggestions
masterpiece, best quality, high quality, ultra-detailedAdd realistic to shift toward realism.
❌ Negative Prompt Suggestions
worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, deformedAdd anime to suppress stylized output.
⚙️ Sampler & Steps
Recommended: dpmpp_2m karras, euler a karras • 25–30 steps • cfg 3-7
🎨 Style Compatibility
This model is highly compatible with most LoRA models originally designed for Illustrious-based architectures, making it easy to plug into existing workflows.
It also pairs especially well with my own custom LoRA Styles — feel free to experiment and explore combinations. You might discover something uniquely yours.
📤 Online Generation & Bid
To make the model available for online generation, don’t forget to place a Bid. Bids help prioritize and unlock availability within Civitai’s generation queue.
💜 Support My Work
If you find this project interesting or want to see more advanced blends, you can support me on Boosty. It means a lot and directly helps fuel future experiments:
https://boosty.to/blacksnowskill
https://t.me/blacksnowskill - news
Some of the images from the preview use DRKWB LoRa Style
Notice: This model is protected by copyright. Copying, distribution, merging with other models, or use on other websites without the written permission of the author is prohibited.
Description
FAQ
Details
Files
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.






