ByteDance Seed

ByteDance Seed

ByteDance
+
+

Related Products

  • Innoslate
    86 Ratings
    Visit Website
  • Imorgon
    5 Ratings
    Visit Website
  • LM-Kit.NET
    25 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • Knak
    157 Ratings
    Visit Website
  • Vertex AI
    944 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Epicor Kinetic
    512 Ratings
    Visit Website
  • Apryse PDF SDK
    150 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website

About

Seed Diffusion Preview is a large-scale, code-focused language model that uses discrete-state diffusion to generate code non-sequentially, achieving dramatically faster inference without sacrificing quality by decoupling generation from the token-by-token bottleneck of autoregressive models. It combines a two-stage curriculum, mask-based corruption followed by edit-based augmentation, to robustly train a standard dense Transformer, striking a balance between speed and accuracy and avoiding shortcuts like carry-over unmasking to preserve principled density estimation. The model delivers an inference speed of 2,146 tokens/sec on H20 GPUs, outperforming contemporary diffusion baselines while matching or exceeding their accuracy on standard code benchmarks, including editing tasks, thereby establishing a new speed-quality Pareto frontier and demonstrating discrete diffusion’s practical viability for real-world code generation.

About

Recent breakthroughs in text-to-image synthesis have been driven by diffusion models trained on billions of image-text pairs. Adapting this approach to 3D synthesis would require large-scale datasets of labeled 3D assets and efficient architectures for denoising 3D data, neither of which currently exist. In this work, we circumvent these limitations by using a pre-trained 2D text-to-image diffusion model to perform text-to-3D synthesis. We introduce a loss based on probability density distillation that enables the use of a 2D diffusion model as a prior for optimization of a parametric image generator. Using this loss in a DeepDream-like procedure, we optimize a randomly-initialized 3D model (a Neural Radiance Field, or NeRF) via gradient descent such that its 2D renderings from random angles achieve a low loss. The resulting 3D model of the given text can be viewed from any angle, relit by arbitrary illumination, or composited into any 3D environment.

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

Developers and research teams needing a code generation model tool that reduces latency compared to traditional autoregressive systems while maintaining competitive benchmark performance

Audience

Businesses looking for an advanced AI 3D Model Generator solution

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

Free
Free Version
Free Trial

Pricing

No information available.
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

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

Review this Software

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

ByteDance
Founded: 2012
China
seed.bytedance.com/en/seed_diffusion

Company Information

DreamFusion
dreamfusion3d.github.io

Alternatives

Seed2.0 Pro

Seed2.0 Pro

ByteDance

Alternatives

Gemini Diffusion

Gemini Diffusion

Google DeepMind
Point-E

Point-E

OpenAI
Mercury Coder

Mercury Coder

Inception Labs
RODIN

RODIN

Microsoft

Categories

Categories

Integrations

C++
Flyne AI
Fuser
Galaxy.ai
Go
Java
Python
TESS AI
WaveSpeedAI
graphis

Integrations

C++
Flyne AI
Fuser
Galaxy.ai
Go
Java
Python
TESS AI
WaveSpeedAI
graphis
Claim ByteDance Seed and update features and information
Claim ByteDance Seed and update features and information
Claim DreamFusion and update features and information
Claim DreamFusion and update features and information