当前位置: 首页 > news >正文

全球USB设备厂商ID与产品型号大全

Wan2.2-T2V-5B 模型技术参数数据库

Text-to-Video Model Database

Maintained by the Open AI Initiative t2v.models@openai.org

If you have any new entries, please submit them via

https://www.openai.org/submit-t2v-model

or send patches (diff -u old new) in plain text email.

The latest version can be obtained from

https://www.openai.org/t2v.ids

Version: 2025.04.01

Date: 2025-04-01 11:00:00

Models and capabilities. Please keep sorted.

Syntax:

model_id model_name

device capability_profile <– single tab

interface performance_metric <– two tabs

9001 Wan2.2-T2V-5B
5b00 Text-to-Video Generation [Diffusion Architecture]
perf 5B parameters, 480P output, sub-second frame generation
app Real-time video synthesis
app Rapid prototype animation
app Social media short-form content
app Batch content production pipeline
app Interactive application integration
hw Consumer GPU compatible (e.g., RTX 3060+)
mem Optimized memory footprint for inference
speed Inference under 1s per frame on mid-tier GPU
qual Slight trade-off in visual fidelity for speed
len Short to medium duration clips (≤15s typical)
api Supports prompt conditioning & motion control
fmt MP4/H.264 default encoding
limit Temporal consistency maintained up to 480P×30fps
ext Compatible with common T2I adapters for style transfer

9002 VideoGen-Lite
3a00 Lightweight Video Synthesis Engine
perf 3.2B parameters, 360P max resolution
app Mobile-first video generation
app Edge device deployment
hw Runs on integrated graphics (Intel Iris Xe+)
speed ~1.2s/frame on low-end discrete GPU
qual Noticeable artifacts at higher motion complexity
len ≤10s clips recommended

9003 MotionSynth Pro
7c00 High-Fidelity Motion Generation Framework
perf 7.8B parameters, supports up to 720P60
app Professional animation previs
app VFX storyboarding
hw Requires high-memory GPU (≥16GB VRAM)
speed 2–3s/frame on RTX 4090
qual High detail preservation, minimal flicker
len Up to 30s sequences with stable coherence
ext Integrates with Blender via plugin API

9004 ClipForge Nano
1d00 Ultra-Compact T2V Microengine
perf 1.1B parameters, 240P fixed resolution
app Embedded UI animations
app IoT-generated video summaries
hw Operates on Jetson Orin Nano
speed Sub-500ms latency target
mem <4GB system RAM usage
limit No fine-grained motion control
ext ONNX export supported for edge compilation

9005 Animix Core
4f00 Hybrid Animation Generator
perf 4.9B parameters, multi-modal input support
input Text + sketch guidance
input Text + reference image
app Character animation drafts
app Educational explainer videos
hw Mid-range GPU (RTX 3070 equivalent)
speed ~800ms/frame average
qual Strong pose alignment from sketch input
ext Exports keyframe metadata for post-editing

9006 StoryWeave Engine
6a00 Narrative-Coherent Video Generator
perf 6.1B parameters, scene transition modeling
app Multi-shot storytelling
app Ad campaign concept reels
hw Dual-GPU setup recommended
speed 1.5–2.5s/frame depending on scene count
qual Maintains character identity across cuts
ext JSON output of narrative structure tags

9007 QuickReel Express
2c00 Fast Social Video Generator
perf 2.4B parameters, template-driven output
app TikTok/Instagram Reels automation
app E-commerce product showcases
hw Cloud microinstance deployable (T4 or L4)
speed End-to-end clip in <3 seconds
qual Template-based consistency prioritized
limit Limited customization outside templates
ext Direct API hooks into Shopify/Meta platforms

9008 FrameShift Studio
8e00 Cinematic Control Video Synthesizer
perf 8.5B parameters, camera motion scripting
input Supports camera path prompts (dolly, pan, zoom)
app Previsualization for film
app Architectural walkthroughs
hw High-end workstation (RTX 6000 Ada)
speed 3–5s/frame with motion vectors
qual Film-grade depth cues and lighting simulation
ext Outputs depth maps and optical flow channels

9009 LiveMorph Engine
3f00 Real-Time Morphing Video System
perf 3.7B parameters, 30fps live rendering
app Interactive art installations
app Virtual try-on demos
hw Optimized for TensorRT acceleration
speed Latency <100ms in streaming mode
qual Smooth interpolation between concepts
limit Input constrained to semantic similarity bounds
ext WebSocket streaming interface available

9010 DreamCutter Lite
1a00 Concept Montage Assembler
perf 1.8B parameters, multi-prompt sequencing
app Mood board video generation
app Creative brainstorming aid
hw Laptop-class GPU sufficient
speed ~600ms per segment transition
qual Lower spatial resolution but strong thematic flow
ext Exports storyboard thumbnails with timing cues

Class Codes:

perf — Performance characteristics

app — Targeted application domains

hw — Hardware execution requirements

speed — Inference latency profile

qual — Output quality traits

len — Recommended sequence length

input — Supported input modalities

api — Interface and extensibility features

fmt — Native output format

limit — Known constraints or boundaries

ext — Integration and export capabilities

Device Type Definitions:

T2V — Text-to-Video Generator

ADJ — Adapter / Plugin Module

ENC — Encoder / Post-processing Tool

CTL — Control Network / Guidance Model

Usage Notes:

This database is intended for developers and researchers

building or integrating generative video systems.

Entries reflect real-world deployment profiles,

not just theoretical benchmarks. Community contributions

are essential for maintaining accuracy and coverage.

创作声明:本文部分内容由AI辅助生成(AIGC),仅供参考

http://www.cnnetsun.cn/news/87246.html

相关文章:

  • Qwen3-14B如何避免输出截断?关键在max_new_tokens设置
  • 16倍压缩+双专家架构重塑视频生成效率
  • 主机监控指标解析—内存篇
  • Keepalived详解:安装与高可用集群配置
  • LangChain与AutoGPT:AI工作流引擎深度对比
  • Excalidraw代码贡献指南:如何参与开源社区开发
  • LangChain-Chatchat本地部署与配置指南
  • shared_ptr 快照用于安全地并发读取,无需拷贝
  • 官方适配完的命令行ruby在鸿蒙PC上的使用方法
  • LobeChat能否接收语音指令?全双工对话体验
  • LangFlow快速入门:可视化构建AI应用
  • Langflow本地部署:隔离环境安装指南
  • 云端算力的进化:云服务器架构演进的三重范式变革
  • 解决facefusion报错No source face detected
  • PaddleOCR中英文文字识别实战与优化指南
  • LobeChat剪贴板交互优化:复制粘贴操作更加流畅自然
  • YOLOv5详解:高效目标检测模型实战指南
  • Windows下PaddleOCR GPU版环境搭建指南
  • “开盒神器”威胁下的自保手册:七招应对超级 Agent 的实时入侵
  • EBS后台查询人员职责信息
  • Qwen3-8B-AWQ性能优化与最佳实践
  • LLaMA-Factory 微调 DeepSeek-R1 模型实战指南
  • Langflow自定义组件开发与界面集成详解
  • LobeChat能否协助撰写简历?求职者福音来了
  • 使用Miniconda创建Python 3.8环境的完整步骤
  • 搭建Ollama并运行qwen,简单RAG实现
  • LobeChat能否显示用量统计?透明化消费展示
  • 解决langchain-chatchat缺少__init__.py问题
  • Linly-Talker:能对答如流的AI数字人
  • YOLOv5网络结构解析与代码实现