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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

FLUX.1 represents a revolutionary suite of open-source text-to-image models created by Black Forest Labs, achieving new heights in AI-generated imagery with an impressive 12 billion parameters. This model outperforms established competitors such as Midjourney V6, DALL-E 3, and Stable Diffusion 3 Ultra, providing enhanced image quality, intricate details, high prompt fidelity, and adaptability across a variety of styles and scenes. The FLUX.1 suite is available in three distinct variants: Pro for high-end commercial applications, Dev tailored for non-commercial research with efficiency on par with Pro, and Schnell designed for quick personal and local development initiatives under an Apache 2.0 license. Notably, its pioneering use of flow matching alongside rotary positional embeddings facilitates both effective and high-quality image synthesis. As a result, FLUX.1 represents a significant leap forward in the realm of AI-driven visual creativity, showcasing the potential of advancements in machine learning technology. This model not only elevates the standard for image generation but also empowers creators to explore new artistic possibilities.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AIVideo.com No 
Astorie No 
ChatLabs No 
FLUX.1 Krea No 
FancyMe No 
Fuser No 
Haimeta No 
ImageGPT.io No 
Magai No 
Model Playground No 
Nebius Token Factory No 
OmniGen AI No 
OpenClaw No 
Oxlo.ai No 
PXZ AI No 
Pixlio AI No 
Prism No 
WaveSpeedAI No 
YouArt No 
fal No 

Integrations

AIVideo.com Yes 
Astorie Yes 
ChatLabs Yes 
FLUX.1 Krea Yes 
FancyMe Yes 
Fuser Yes 
Haimeta Yes 
ImageGPT.io Yes 
Magai Yes 
Model Playground Yes 
Nebius Token Factory Yes 
OmniGen AI Yes 
OpenClaw Yes 
Oxlo.ai Yes 
PXZ AI Yes 
Pixlio AI Yes 
Prism Yes 
WaveSpeedAI Yes 
YouArt Yes 
fal Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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

DreamFusion

Website

dreamfusion3d.github.io

Vendor Details

Company Name

Black Forest Labs

Founded

2024

Country

Germany

Website

blackforestlabs.ai

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