AI Influencer Generator

AI Influencer Generator is an open-source Python project that converts a text prompt into a talking virtual influencer video by chaining Stable Diffusion, gTTS, and SadTalker.

What is AI Influencer Generator?

AI Influencer Generator is a free, open-source toolkit for creating virtual AI influencers. It takes text inputs — a prompt to design a persona and a script for the voiceover — and outputs a lip-synced video of that persona speaking. The project runs as a Jupyter notebook, supports Google Colab execution, and is maintained by SamurAIGPT with contributions from Anil Chandra Naidu Matcha and Ankur Singh. The code is released under the MIT License.

Key Features

• AI Image Generation — Uses Stable Diffusion to create unique influencer personas from text prompts.
• Text-to-Speech — Generates natural voiceovers with gTTS, the Google Text-to-Speech library.
• Lip Sync Animation — Brings static images to life with SadTalker, producing talking-head video.
• Consistent Characters — Maintains the same AI persona across content by reusing similar prompts.
• Fully Open Source — No paid APIs required for core functionality; everything runs on free open-source models.
• Google Colab Support — A ready-to-run notebook lets you generate content in the cloud without local setup.
• Local Setup — Can be run locally by cloning the repository and installing dependencies with pip.

Who is it for?

• Content creators who want to produce virtual influencer content for Instagram, TikTok, or YouTube without hiring actors.
• Brand marketers who need virtual brand ambassadors or product representatives.
• Educators who want AI tutors or presenters for educational material.
• Developers who are learning generative AI pipelines and want a reference implementation combining image, audio, and video models.

What can you do with AI Influencer Generator?

• Generate social media content: Create talking-head videos of a fictional persona for short-form platforms like Instagram Reels, TikTok, and YouTube Shorts.
• Produce virtual brand ambassadors: Design a character that represents a product or brand and have them deliver promotional scripts.
• Build educational content: Turn lecture scripts into a lip-synced presenter video with a consistent AI tutor.
• Experiment with AI pipelines: Use the Colab notebook as a starting point for combining Stable Diffusion, gTTS, and SadTalker in your own projects.

How does AI Influencer Generator work?

The pipeline is: Prompt → Stable Diffusion image → gTTS audio → SadTalker video → AI influencer content. You design a persona, write a script, generate the voice, animate the face, then publish the video. The repository recommends running the provided Jupyter notebook in Google Colab for the quickest setup.

FAQ

Is AI Influencer Generator free?

Yes. The core functionality relies on open-source models (Stable Diffusion, gTTS, SadTalker) and requires no paid APIs, although you can optionally use OpenAI GPT for prompt generation.

What technologies does it use?

The tech stack includes Stable Diffusion for image generation, gTTS for text-to-speech, SadTalker for lip-sync animation, and OpenAI GPT for prompt generation.

Do I need a GPU to run it?

Not necessarily. The recommended path is to run the notebook in Google Colab, which provides a free GPU runtime. Local setup is also possible, but generating images and videos will be slower without a GPU.

Can I maintain a consistent character?

Yes. The project recommends using similar prompts to keep the character's appearance consistent across generated content, which is key for building an influencer persona.

How do I get started quickly?

Open the AI_Influencer.ipynb notebook in Google Colab, run each cell sequentially, customize your persona, and download the generated content. For local use, clone the repo and run pip install -r requirements.txt then launch Jupyter.