Skip to main content

Official text2video package

This is the official github repo of pypi package text2video (https://pypi.org/project/text2video/). This repo is intended to provide common interface to help develop text2video related Vision-Language Models and related deployed APIs. There are also many brilliant AI apps released such as Runway AI, Pika AI, Kling AI, etc. Right now it has just started from scratch and you are very welcome to contact us if you would like to commit to this repo and facilitate the community.

Install

pip install text2video

An example of Calling arxiv.org to Fetch Latest "Text To Video" Related Papers

Usage

import text2video as t2v

input_dict = {"text": "Text to Video"}

res = t2v.api(input_dict, model=None, api_name="ArxivPaperAPI", start=0, max_results = 3)
paper_list = json.loads(res["text"])
print ("###### Text to Image Recent Paper List:")
for (i, paper_json) in enumerate(paper_list):
    print ("### PAPER %d" % (i+1))
    print (paper_json)

Common Interface of Text to Video Application


class YourText2VideoAPI(BaseAPI):
    """docstring for ClassName"""
    def __init__(self, configs):
        super(YourText2VideoAPI, self).__init__(configs)
        self.name = "xxxxx"

    def api(self, input_dict, model, kwargs):
        """
            Args:
                input_dict: dict, multi-modal input text, image, audio and video
                model: huggingface model of tf or pytoch
                kwargs: key-value args
            Return:
                res_dict: dict, multi-modal text text, image, audio and video
        """
        res_dict={}
        try:
            input_text = input_dict["text"]   # str
            input_image = input_dict["image"] # image path
            input_audio = input_dict["audio"] # audio path
            input_video = input_dict["video"] # video path

            res_dict["text"] = None
            res_dict["image"] = None
            res_dict["audio"] = None
            res_dict["video"] = None
        except Exception as e:
            print (e)
        return res_dict


Awesome Text to Video Papers and Projects

2024 Text to Video Paper

PAPER URL
HARIVO: Harnessing Text-to-Image Models for Video Generation https://arxiv.org/pdf/2410.07763
MMHead: Towards Fine-grained Multi-modal 3D Facial Animation https://arxiv.org/abs/2410.07757
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design https://arxiv.org/abs/2410.05677
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion https://arxiv.org/abs/2410.07659

AI Services Reviews and Ratings

Chatbot

OpenAI o1 Reviews
ChatGPT User Reviews
Gemini User Reviews
Perplexity User Reviews
Claude User Reviews
Qwen AI Reviews
Doubao Reviews
ChatGPT Strawberry
Zhipu AI Reviews

AI Image Generation

Midjourney User Reviews
Stable Diffusion User Reviews
Runway User Reviews
GPT-5 Forecast
Flux AI Reviews
Canva User Reviews

AI Video Generation

Luma AI
Pika AI Reviews
Runway AI Reviews
Kling AI Reviews
Dreamina AI Reviews

AI Education

Coursera Reviews
Udacity Reviews
Grammarly Reviews

Robotics

Tesla Cybercab Robotaxi
Tesla Optimus
Figure AI
Unitree Robotics Reviews
Waymo User Reviews
ANYbotics Reviews
Boston Dynamics

AI Tools

DeepNLP AI Tools

AI Widgets

Apple Glasses
Meta Glasses
Apple AR VR Headset
Google Glass
Meta VR Headset
Google AR VR Headsets

Social

Character AI

Self-Driving

BYD Seal
Tesla Model 3
BMW i4
Baidu Apollo Reviews
Hyundai IONIQ 6

  1. Introduction to multimodal generative models
  2. Generative AI Search Engine Optimization
  3. AI Image Generator User Reviews
  4. AI Video Generator User Reviews
  5. AI Chatbot & Assistant Reviews
  6. Best AI Tools User Reviews

Metadata

Release files for text2video 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for text2video 0.0.4
File Interpreter ABI Platform
text2video-0.0.4-py3-none-any.whl Python 3 none any Details

Release files / text2video-0.0.4-py3-none-any.whl

Download URL text2video-0.0.4-py3-none-any.whl
Size 5.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f95b955e73a559bdffe8544b55bb6d70cd2880ecfd1267aa7ec07bc08340e26c
BLAKE2b-256 checksum
How to use checksums
fcd42b5c8b2656f61c920b107bf558723aeb54135bc647e70ffe65039182834b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.2

Release history Release notifications | RSS feed

This release

0.0.4 This release

1 release file

0.0.3

1 release file

0.0.2

1 release file

0.0.1

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page