Hataka HTK-B081 Terre de Sienne – Water-Based Acrylic Paint 17ml

Hataka HTK-B081 Terre de Sienne is a high-quality water-based acrylic paint from the renowned Blue Line series, dedicated to modelers who prefer brush painting. The package contains 17 ml of product, which is characterized by excellent coverage, smooth application, and quick drying. The Terre de Sienne shade has been carefully recreated to match the real colors used on military vehicles, figurines, or diorama elements.

Hataka Blue Line paints have been created with the highest demands of modelers and hobbyists in mind, for whom both color accuracy and ease of use matter. The Terre de Sienne color comes from the palette of classic earthy tones, ideal for replicating chipping, aging effects, dirt, and detailed touches in historical and fantasy modeling. It is widely used for painting parts such as undercarriages, armored vehicles, and accessories from periods like World War II, or for constructing realistic dioramas inspired by European flora and fauna.

The product is based on non-toxic, water-based acrylic components, ensuring safe use and easy cleaning of tools after work. Thanks to its perfectly matched consistency, the paint leaves no streaks or build-up on the model's surface, offering a satin finish and full control over every applied layer.

• Capacity: 17ml
• Type: water-based acrylic paint (category: model acrylic paints)
• Color: Terre de Sienne – classic earthy shade
• Application: brush painting (optimized consistency, streak-free)
• Purpose: ideal for plastic models, resin kits, figurines, dioramas, and weathering accents
• Safe and non-toxic formula – easy to use even for beginner modelers

Hataka HTK-B081 Terre de Sienne is especially recommended for both beginner and advanced modelers seeking high-quality paint for detail work that requires precision. The product will perform excellently when creating realistic aging effects, dirt, or highlighting textures on models of any scale (1/35, 1/72, 1/48). Difficulty level: 1/5 – perfect for learning as well as advanced modeling techniques.