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What is ModelScope?
This advanced system employs a complex multi-stage diffusion model to translate English text descriptions into corresponding video outputs. It consists of three interlinked sub-networks: the first extracts features from the text, the second translates these features into a latent space for video, and the third transforms this latent representation into a final visual video format. With around 1.7 billion parameters, the model leverages the Unet3D architecture to facilitate effective video generation through a process of iterative denoising that starts with pure Gaussian noise. This cutting-edge methodology enables the production of engaging video sequences that faithfully embody the stories outlined in the input descriptions, showcasing the model's ability to capture intricate details and maintain narrative coherence throughout the video. Furthermore, this system opens new avenues for creative expression and storytelling in digital media.
What is DiffusionGemma?
DiffusionGemma is a groundbreaking open model that delves into the phenomenon of text diffusion, offering an exceptionally quick approach to text generation. Licensed under Apache 2.0, this model features a staggering 26 billion parameters and utilizes a Mixture of Experts (MoE) architecture, pushing the boundaries beyond the conventional sequential token generation found in autoregressive models. Rather than generating tokens one by one, it is capable of producing complete blocks of text simultaneously, yielding generation speeds that can be up to four times quicker on GPUs. With foundations rooted in the parameter efficiency of the Gemma 4 family and insights from Gemini Diffusion research, DiffusionGemma boasts a distinctive diffusion head that significantly accelerates the generation process. Its design targets researchers and developers focused on optimizing local workflows that demand speed, such as in-line editing, rapid iterations, and complex narrative structures. By shifting the decoding bottleneck from memory bandwidth to computational capacity, the model can generate over 1,000 tokens per second on a single NVIDIA H100 and more than 700 tokens per second when utilizing an NVIDIA GeForce RTX 5090. This advancement not only enhances efficiency in text generation but also opens up new possibilities for various applications in the realm of natural language processing, paving the way for innovative developments in the field. Ultimately, the capabilities of DiffusionGemma could lead to transformative changes in how we approach text generation tasks.
Integrations Supported
01.AI
GLM-4.5
Gemini Enterprise Agent Platform
NVIDIA NIM
Qwen
Qwen-7B
Qwen2
Qwen2-VL
Qwen2.5-1M
Qwen2.5-Coder
Integrations Supported
01.AI
GLM-4.5
Gemini Enterprise Agent Platform
NVIDIA NIM
Qwen
Qwen-7B
Qwen2
Qwen2-VL
Qwen2.5-1M
Qwen2.5-Coder
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Alibaba Cloud
Company Location
China
Company Website
modelscope.cn/
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/