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Description
Recent advancements in the realm of text-to-image synthesis have emerged from diffusion models that have been trained on vast amounts of image-text pairs. To successfully transition this methodology to 3D synthesis, it would necessitate extensive datasets of labeled 3D assets alongside effective architectures for denoising 3D information, both of which are currently lacking. In this study, we address these challenges by leveraging a pre-existing 2D text-to-image diffusion model to achieve text-to-3D synthesis. We propose a novel loss function grounded in probability density distillation that allows a 2D diffusion model to serve as a guiding principle for the optimization of a parametric image generator. By implementing this loss in a DeepDream-inspired approach, we refine a randomly initialized 3D model, specifically a Neural Radiance Field (NeRF), through gradient descent to ensure its 2D renderings from various angles exhibit a minimized loss. Consequently, the 3D representation generated from the specified text can be observed from multiple perspectives, illuminated with various lighting conditions, or seamlessly integrated into diverse 3D settings. This innovative method opens new avenues for the application of 3D modeling in creative and commercial fields.
Description
Stable Diffusion 3.5 represents Stability AI’s advanced suite for image creation and modification, tailored for high-level creative endeavors through various deployment methods, such as self-hosted solutions, API integration, cloud collaborations, and online platforms. This flagship suite is touted as the most robust image model from Stability AI to date, capable of producing an extensive array of visual styles, including 3D graphics, photography, paintings, and line art, while excelling in prompt accuracy, diverse results, and adaptable options for numerous applications. Among its offerings, Stable Diffusion 3.5 Large stands out as the most powerful model within this family, ensuring outstanding quality and prompt adherence tailored for professional scenarios at a resolution of 1 megapixel. Furthermore, Stable Diffusion 3.5 Large Turbo is engineered to operate more swiftly than the Large version, delivering high-quality images with remarkable prompt accuracy in just four streamlined steps. Additionally, Stable Diffusion 3.5 Medium strikes a balance between quality and user customization through enhanced architecture and innovative training techniques, making it a versatile option for a broader range of users. Overall, the Stable Diffusion 3.5 suite provides a comprehensive set of tools that cater to both professional and creative needs in the image generation landscape.
API Access
Has API
API Access
Has API
Integrations
Stable Diffusion
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DreamFusion
Website
dreamfusion3d.github.io
Vendor Details
Company Name
Stability AI
Founded
2019
Country
United States
Website
stability.ai/stable-image