This alpha version of the LoRA model is designed to provide a diverse and versatile selection of clothing styles, making it easier to generate and customize outfits through prompts.
This collection includes a wide variety of urban fashion, sneakers, and trendy apparel, allowing for precise combinations and unique outfit creations. Whether you're aiming for casual streetwear, sporty aesthetics, or fashionable everyday looks, this model offers extensive possibilities to enhance your designs.
⚠️ Since this is an alpha version, some inconsistencies and errors may occur. If you notice any issues or unexpected results, your feedback is highly appreciated to help refine and improve future versions!
Enjoy experimenting and designing!
Description
🔹 New Clothing and Accessories Collection
✔ Urban and Futuristic Styles:
Bomber jackets with realistic textures and futuristic details
Oversized shirts with custom patterns and urban graphics
Cargo pants with more technical designs adapted to different body types
✔ Adaptive Cyberpunk and Sci-Fi:
Bodysuits with dynamic light lines and advanced textures
Lightweight armor with synthetic fiber elements and reinforcements
Tactical clothing with vests, belts, and technological equipment
✔ Activewear and Sneakers:
Sneakers with modern designs and realistic textures
Lycra training clothing and athletic attire
Sweatshirts and joggers with dynamic fit for different body types
✔ Asian Fashion and Thematic Elements:
Modernized kimonos with embroidered details
Outfits inspired by Harajuku and Japanese street fashion
Traditional clothing with adaptations Futuristic
✔ Extra Accessories and Customization:
Animal ears and fake horns as fashion elements
Caps, visors, and masks with a cyberpunk aesthetic
Gloves, watches, and bracelets with innovative materials and patterns
🎨 Catalog Expansion and Optimization
🔹 Greater compatibility with different body types, including anthropomorphic bodies
🔹 New outfit combinations with more stylistic variations
🔹 Improved balance in textures and details for greater realism
🛠 Model and Training Improvements
✅ Increased model stability, using 10 epochs and a batch size of 4 to maintain a balance between quality and performance
✅ Better adaptation to fine details, thanks to a Noise Offset of 0.10 that prevents overexposure of highlights and shadows in materials
✅ Greater fidelity in patterns and textures, optimized with an LR Scheduler "cosine_with_restarts" (cycles: 3) for more controlled training
✅ Artifact and noise reduction, with the integration of Min SNR Gamma at 5, improving sharpness in garments with small details
✅ Better differentiation of styles and accessories, with a Network Dim of 32 and Network Alpha of 16, ensuring greater richness in outfit generation
✅ Better interpretation of the relationship between clothing and characters, thanks to training with Clip Skip at 1, ensuring a more accurate reading of the dataset
FAQ
Details
Files
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.