Scribbl3D
PLA Silk Red
SilkPLA+±0.02 mm Tolerance
Silky red PLA filament for glossy, vibrant, and premium-quality 3D printed models.
₹3,19955% off
₹1,449
Save ₹1,750
MRP inclusive of all taxes. Shipping calculated at checkout.
Diameter
Quantity
1
Free shipping over ₹1000
Moisture-sealed spool
Easy returns
Product Description
PLA Silk Red Filament is a premium 3D printing material engineered to create bold, eye-catching prints with a rich red color and a luxurious silk finish. Its advanced silk formulation produces naturally glossy surfaces that minimize visible layer lines, delivering elegant, professional-looking models with minimal post-processing. Designed for smooth, consistent extrusion and exceptional dimensional accuracy, PLA Silk Red provides reliable print performance, strong layer adhesion, and crisp detail reproduction. Combining the ease of printing associated with PLA with a refined, high-gloss finish, it offers low warping, minimal shrinkage, and low odor, making it an excellent choice for beginners, hobbyists, designers, and professionals alike. Perfect for decorative models, cosplay props, display pieces, artistic sculptures, personalized gifts, home décor, product showcases, and collectible figurines, PLA Silk Red enhances every print with vibrant color and a premium silk-like appearance. Compatible with most FDM/FFF 3D printers, it delivers outstanding print quality and a polished finish for creative and presentation-ready projects.Key Features
Premium silk finish with a rich, glossy red appearance
Smooth surface that minimizes visible layer lines
Smooth, clog-free extrusion for reliable print performance
Excellent dimensional accuracy for crisp details and precision
Strong layer adhesion for durable, high-quality printed parts
Low warping and minimal shrinkage for dependable printing
Ideal Applications
Decorative and display modelsFigurines and collectible modelsCosplay props and costume accessoriesHome décor and designer piecesPersonalized gifts and custom creationsProduct concept and presentation models
