Mindket

AI Talking Avatar Generator From Photo

Newversion 1 · updated

Overview

Turns a still photo and an audio clip or speech file into a talking-head video with matching lip movements, using SadTalker on ZeroGPU. For creators of presenter videos, demos and e-learning clips.

AI Talking Avatar Generator From Photo is a kit in the Marketing & SEO category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python on Windows, macOS or Linux.
  • pip, which installs the packages.
Runs in
  • A web browser: open the Space page on Hugging Face, where it runs on ZeroGPU.
  • Windows, macOS or Linux: run a copy with Python.
Start with
pip install -U huggingface_hub
hf download cosmichackerx/ai-talking-avatar-generator --repo-type space --local-dir ai-talking-avatar-generator
cd ai-talking-avatar-generator

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space turns a still photo into a talking-head video. You give it a photo and an audio clip or a text-to-speech file, and it syncs the lip movements to the sound. It is built on SadTalker and runs on ZeroGPU. The README pitches it for presenter videos, product demos, e-learning and social ads.

Who it suits

It suits creators and teams who need a spoken video from a single picture, and developers who want a small example of a talking-head app.

IndustryWho uses itHow they use itExample
MarketingContent and ad teamsMake a spokesperson clip from a photo and a voice trackProduce a short product message
E-learningCourse makersAdd a speaking presenter to a lessonNarrate a slide with a talking face
Corporate communicationInternal comms teamsTurn an update script into a short video messageShare a company note as a talking presenter
Social mediaCreatorsMake a quick clip for a post or an adPair a portrait with a voice-over

You can skip it if you need full-body video or live video calls, since this makes a talking head from one photo.

Where to use it

  • A web browser: open the Space page on Hugging Face, where it runs on ZeroGPU.
  • Windows, macOS or Linux: run a copy with Python.
Use caseWhoWhat they get back
Photo to talking headCreatorsA video of the face speaking your audio
Product demo presenterMarketing teamsA presenter clip for a demo
Lesson presenterTeachersA speaking face for course material

How to set it up

The hosted page needs nothing from you. A local copy needs these two things first. The repository does not say what hardware a local copy needs.

  • Python on Windows, macOS or Linux.
  • pip, which installs the packages.
  1. Install the huggingface_hub package with pip.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install Gradio 5.9.1, then the packages listed in requirements.txt.
  5. Start the app with Python.
pip install -U huggingface_hub
hf download cosmichackerx/ai-talking-avatar-generator --repo-type space --local-dir ai-talking-avatar-generator
cd ai-talking-avatar-generator
pip install gradio==5.9.1
pip install -r requirements.txt
python app.py

How to use it

Online, open the Space page. On your own computer, run the last command above inside the downloaded folder. Add your photo, then add an audio clip or a text-to-speech file. The app then syncs the lip movements to the sound and makes the video.

ToolWhat it does
Photo inputThe still picture that becomes the speaking face
Audio or speech fileThe sound that drives the lip movements
app.pyStarts the Gradio app
srcHolds the source code

Example

You upload a clear portrait and an audio clip of a short greeting. The app generates a video in which the person in the portrait speaks the greeting, with the lips following the sound.

For newcomers and experts

If you are new, try a clear, front-facing photo and a short audio clip first. Use a photo you have the right to use. Keep the first clip brief so you see the result sooner.

If you know the field, the pipeline is based on SadTalker, which drives a face from audio, and it runs on ZeroGPU. The repository holds the app, a source folder and a package list, and it does not describe the models or the video length limits.

  1. You add a photo
  2. You add an audio clip or a speech file
  3. SadTalker syncs the lips to the sound
  4. A talking-head video is produced

Good to know

The README is mostly a pitch, so limits such as clip length, photo quality and output size are not documented.

  • License: mit
  • Cost to run: none named
  • Data it reaches: the photo and the audio you give it
  • Not for: full-body or live video, since it animates a face from one photo

README and files

README

AI Talking Avatar Generator From Photo

Turns a still photo and an audio clip or speech file into a talking-head video with matching lip movements, using SadTalker on ZeroGPU. For creators of presenter videos, demos and e-learning clips.

Made by cosmichackerx on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space turns a still photo into a talking-head video. You give it a photo and an audio clip or a text-to-speech file, and it syncs the lip movements to the sound. It is built on SadTalker and runs on ZeroGPU. The README pitches it for presenter videos, product demos, e-learning and social ads.

Who it suits: It suits creators and teams who need a spoken video from a single picture, and developers who want a small example of a talking-head app.

Industry | Who uses it | How they use it | Example
Marketing | Content and ad teams | Make a spokesperson clip from a photo and a voice track | Produce a short product message
E-learning | Course makers | Add a speaking presenter to a lesson | Narrate a slide with a talking face
Corporate communication | Internal comms teams | Turn an update script into a short video message | Share a company note as a talking presenter
Social media | Creators | Make a quick clip for a post or an ad | Pair a portrait with a voice-over

You can skip it if you need full-body video or live video calls, since this makes a talking head from one photo.

Where to use it:

  • A web browser: open the Space page on Hugging Face, where it runs on ZeroGPU.
  • Windows, macOS or Linux: run a copy with Python.
Use case | Who | What they get back
Photo to talking head | Creators | A video of the face speaking your audio
Product demo presenter | Marketing teams | A presenter clip for a demo
Lesson presenter | Teachers | A speaking face for course material

How to set it up: The hosted page needs nothing from you. A local copy needs these two things first. The repository does not say what hardware a local copy needs.

  • Python on Windows, macOS or Linux.
  • pip, which installs the packages.
  1. Install the huggingface_hub package with pip.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install Gradio 5.9.1, then the packages listed in requirements.txt.
  5. Start the app with Python.
pip install -U huggingface_hub
hf download cosmichackerx/ai-talking-avatar-generator --repo-type space --local-dir ai-talking-avatar-generator
cd ai-talking-avatar-generator
pip install gradio==5.9.1
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space page. On your own computer, run the last command above inside the downloaded folder. Add your photo, then add an audio clip or a text-to-speech file. The app then syncs the lip movements to the sound and makes the video.

Tool | What it does
Photo input | The still picture that becomes the speaking face
Audio or speech file | The sound that drives the lip movements
app.py | Starts the Gradio app
src | Holds the source code

Example: You upload a clear portrait and an audio clip of a short greeting. The app generates a video in which the person in the portrait speaks the greeting, with the lips following the sound.

For newcomers and experts: If you are new, try a clear, front-facing photo and a short audio clip first. Use a photo you have the right to use. Keep the first clip brief so you see the result sooner.

If you know the field, the pipeline is based on SadTalker, which drives a face from audio, and it runs on ZeroGPU. The repository holds the app, a source folder and a package list, and it does not describe the models or the video length limits.

You add a photo
You add an audio clip or a speech file
SadTalker syncs the lips to the sound
A talking-head video is produced

Good to know: The README is mostly a pitch, so limits such as clip length, photo quality and output size are not documented.

  • License: mit
  • Cost to run: none named
  • Data it reaches: the photo and the audio you give it
  • Not for: full-body or live video, since it animates a face from one photo

On Hugging Face, 13 November 2026

  • Likes: 5
  • Built with: gradio
  • License: mit

Links

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
AI Talking Avatar Generator From Photo This page5gradiomit
Kolors Virtual Try-OnShares gradio10,223gradioapache-2.0
MIDJOURNEYShares gradio3,001gradiocreativeml-openrail-m
QIE-2511 Rapid-AIO LoRAs Fast (Experimental)Shares gradio569gradioapache-2.0
Omni Video Factory by elboboShares gradio8gradiomit
Video Dubbing (SoniTranslate)Shares gradio3gradiomit
Numbers as Mindket last read them, on 2026-11-12.

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

anaksor-ocr

Sokheng · Kit

Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

New

Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Similar in Marketing & SEO

See all in Marketing & SEO

Huashu Design

alchaincyf · Skill

Turns a one-line request in your AI agent into a finished design: a launch animation, a clickable app prototype, an editable slide deck, an infographic or a se…

New29.4k

Pixel Art XL

nerijs · Kit

A pixel art style add-on for Stable Diffusion XL that turns text prompts into pixel-style images, with an optional LCM LoRA for faster runs. For game makers, d…

New

Licon MSR for LTX-2.5

LiconStudio · Kit

Keeps characters, clothing, objects and backgrounds consistent in generated video by feeding the model up to five reference images. A LoRA for LTX-2.5 in Comfy…

New