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Description
In recent years, the capability of transforming text into images through artificial intelligence has garnered considerable interest. One prominent approach to accomplish this is stable diffusion, which harnesses the capabilities of deep neural networks to create images from written descriptions. Initially, the text describing the desired image must be translated into a numerical format that the neural network can interpret. A widely used technique for this is text embedding, which converts individual words into vector representations. Following this encoding process, a deep neural network produces a preliminary image that is derived from the encoded text. Although this initial image tends to be noisy and lacks detail, it acts as a foundation for subsequent enhancements. The image then undergoes multiple refinement iterations aimed at elevating its quality. Throughout these diffusion steps, noise is systematically minimized while critical features, like edges and contours, are preserved, leading to a more coherent final image. This iterative process showcases the potential of AI in creative fields, allowing for unique visual interpretations of textual input.
Description
This system utilizes a sophisticated multi-stage diffusion model for converting text descriptions into corresponding video content, exclusively processing input in English.
The framework is composed of three interconnected sub-networks: one for extracting text features, another for transforming these features into a video latent space, and a final network that converts the latent representation into a visual video format.
With approximately 1.7 billion parameters, this model is designed to harness the capabilities of the Unet3D architecture, enabling effective video generation through an iterative denoising method that begins with pure Gaussian noise.
This innovative approach allows for the creation of dynamic video sequences that accurately reflect the narratives provided in the input descriptions.
API Access
Has API
API Access
Has API
Integrations
01.AI
CodeQwen
GLM-4.5
Qwen
Qwen-7B
Qwen-Image
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-1M
Integrations
01.AI
CodeQwen
GLM-4.5
Qwen
Qwen-7B
Qwen-Image
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-1M
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
AISixteen
Website
aisixteen.com
Vendor Details
Company Name
Alibaba Cloud
Country
China
Website
modelscope.cn/