Design custom Tesla wraps with AI, preview in 3D, and export Paint Shop-ready files
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Free: editing, 3D preview, and PNG download with no account required. Paid subscriptions for AI generation: Pro $17.90/month (approximately 25 AI designs or 8 wrap bakes), Plus $29.90/month (approximately 50 AI designs or 16 wrap bakes), Ultra $49.90/month (approximately 100 AI designs or 33 wrap ba
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
AI-powered wrap generation from text descriptions
Support for all Tesla models including Model 3, Model Y, Model S, Model X, and Cybertruck
3D preview and rotation from every angle
Paint Shop compatible PNG export with automatic validation
2D editing with layers, text, logos and brushes
Gallery of featured wrap designs ready to use or customize
Mobile support for generation and preview
No account required for downloading PNG files
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
No design skills or Photoshop required
Automatic export validation ensures files work in Tesla Paint Shop
Official UV templates for all supported Tesla variants
Free editing, preview and download workflow
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives