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Average Ratings 0 Ratings
Description
Crafiq serves as a comprehensive AI-driven platform dedicated to the creation of various digital assets, including 2D and 3D visuals, videos, and audio, streamlining the content generation process for creators. By combining cutting-edge AI models, the platform empowers users to efficiently produce and refine high-quality assets, whether they be vibrant 2D illustrations, intricate 3D models, engaging video snippets, or captivating audio elements. Specifically for 2D creations, Crafiq offers a range of functionalities such as generation, editing, inpainting, reframing, upscaling, background removal, and refinement, utilizing advanced models like FLUX, Nano Banana, GPT Image, and Seedream. When it comes to 3D asset production, the platform enables the transformation of images into detailed, game-ready meshes, leveraging models such as Hunyuan3D, Trellis, and Rodin among others. Additionally, Crafiq provides tools for creating isometric or top-down tiles, 360° panoramas for environmental settings, pixel-perfect assets with consistent color schemes, brief video clips, seamless loopable character animations, original sound effects, music compositions, and realistic voiceovers, ensuring a versatile creative experience for users. Ultimately, Crafiq stands out as an invaluable resource for creators aiming to enhance their workflow and bring their artistic visions to life with unprecedented speed and efficiency.
Description
We create a three-dimensional signed distance field (SDF) and a textured field using two latent codes. DMTet is employed to derive a 3D surface mesh from the SDF, and we sample the texture field at the surface points to obtain color information. Our training incorporates adversarial losses focused on 2D images, specifically utilizing a rasterization-based differentiable renderer to produce both RGB images and silhouettes. To distinguish between genuine and generated inputs, we implement two separate 2D discriminators—one for RGB images and another for silhouettes. The entire framework is designed to be trainable in an end-to-end manner. As various sectors increasingly transition towards the development of expansive 3D virtual environments, the demand for scalable tools that can generate substantial quantities of high-quality and diverse 3D content has become apparent. Our research endeavors to create effective 3D generative models capable of producing textured meshes that can be seamlessly integrated into 3D rendering engines, thereby facilitating their immediate application in various downstream uses. This approach not only addresses the scalability challenge but also enhances the potential for innovative applications in virtual reality and gaming.
API Access
Has API
No
API Access
Has API
No
Integrations
FLUX.2
Yes
GPT Image 1.5
Yes
Hunyuan3D 2.0
Yes
Nano Banana 2
Yes
Nano Banana 2 Lite
Yes
Seedream
Yes
Trellis
Yes
Integrations
FLUX.2
No
GPT Image 1.5
No
Hunyuan3D 2.0
No
Nano Banana 2
No
Nano Banana 2 Lite
No
Seedream
No
Trellis
No
Pricing Details
$10 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Crafiq
Country
United States
Website
crafiq.ai/
Vendor Details
Company Name
NVIDIA
Country
United States
Website
nv-tlabs.github.io/GET3D/