Gemini Diffusion

Gemini Diffusion

Google DeepMind
ModelScope

ModelScope

Alibaba Cloud
+
+

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About

Gemini Diffusion is our state-of-the-art research model exploring what diffusion means for language and text generation. Large-language models are the foundation of generative AI today. We’re using a technique called diffusion to explore a new kind of language model that gives users greater control, creativity, and speed in text generation. Diffusion models work differently. Instead of predicting text directly, they learn to generate outputs by refining noise, step by step. This means they can iterate on a solution very quickly and error correct during the generation process. This helps them excel at tasks like editing, including in the context of math and code. Generates entire blocks of tokens at once, meaning it responds more coherently to a user’s prompt than autoregressive models. Gemini Diffusion’s external benchmark performance is comparable to much larger models, whilst also being faster.

About

This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. The text-to-video generation diffusion model consists of three sub-networks: text feature extraction, text feature-to-video latent space diffusion model, and video latent space to video visual space. The overall model parameters are about 1.7 billion. Support English input. The diffusion model adopts the Unet3D structure, and realizes the function of video generation through the iterative denoising process from the pure Gaussian noise video.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers and developers seeking a tool providing editable text generation by leveraging diffusion-based language modeling

Audience

Users interested in an open source text-to-video AI video generation model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemini-diffusion/

Company Information

Alibaba Cloud
China
modelscope.cn/

Alternatives

Alternatives

ByteDance Seed

ByteDance Seed

ByteDance
Kaggle

Kaggle

Google
Mercury Coder

Mercury Coder

Inception Labs

Categories

Categories

Integrations

CodeQwen
Gemini
Gemini Enterprise
Qwen
Qwen-7B
Qwen-Image
Qwen2
Qwen2-VL
Qwen2.5-1M
Qwen2.5-Coder
Qwen3
Qwen3.6
Qwen3.6-27B
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Qwen3.8-2.4T-A95B
Qwen3.8-27B
Qwen3.8-Flash-Next
Step 3.5 Flash
WeatherNext

Integrations

CodeQwen
Gemini
Gemini Enterprise
Qwen
Qwen-7B
Qwen-Image
Qwen2
Qwen2-VL
Qwen2.5-1M
Qwen2.5-Coder
Qwen3
Qwen3.6
Qwen3.6-27B
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Qwen3.8-2.4T-A95B
Qwen3.8-27B
Qwen3.8-Flash-Next
Step 3.5 Flash
WeatherNext
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