Generative AI - Text to Video, Image and Audio in Blender

AI generate video, image and audio from text prompts or strips.

Hammershoi.mp4

Video Examples

Modelscope & Bark

Features

• Text to video
• Text to audio
• Text to image
• Seed, Quality Steps, Frames, Word Power.
• Batch operation of text strips into videos, audio, music, speech or images.
• Model card selector
• Render finished notification
• Model Cards: Modelscope, Animov, Stable Diffusion 1.5 & 2, Deep Floyd IF, AudioLMD and Bark
• One click install and uninstall dependencies
• User defined file path for generated files
• Seed added to strip name

Requirements

• A CUDA supported Nvidia card with at least 4 GB VRam.

How to install

(As for Linux and MacOS, if anything differs in installation, then please share instructions.)

• First you must download and install git for your platform(must be on PATH(or Bark will fail)): https://git-scm.com/downloads

• Download the add-on: https://github.com/tin2tin/text_to_video/archive/refs/heads/main.zip

• On Windows, right click on the Blender icon and "Run Blender as Administrator"(or you'll get write permission errors).

• Install the add-on as usual: Preferences > Add-ons > Install > select file > enable the add-on.

• In the Generative AI add-on preferences, hit the "Install all Dependencies" button.

• Note that you can change what model cards are used in the various modes here(video, image, audio).

• When it writes that it is finished(if any errors, let me know).

• Open the add-on UI in the Sequencedr > Sidebar > Generative AI.

• The first time any model is executed many GB will have to be downloaded, so go grab lots of coffee.

• If it says:"ModuleNotFoundError: Refer to https://github.com/facebookresearch/xformers for more information on how to install xformers", then try to restart Blender.

Tip
If any python modules are missing, use this add-on to manually install them:
https://github.com/amb/blender_pip

Location

Install Dependencies, set Movie Model Card and set Sound Notification in the add-on preferences:

Video Sequence Editor > Sidebar > Generative AI

Converting Text strips into GeneratorAI strips:

Text to Video/Image

The Animov models have been trained on Anime material, so adding "anime" to the prompt is necessary, especially for the Animov-512x model. The Stable Diffusion models for generating images have been used a lot, so there are plenty of prompt suggestions out there if you google for them. The Modelscope model has a watermark, since it's been trained on Shutterstock material, and can't be used for commercial purposes.

Tip
If the image of your renders breaks, then use the resolution from the Model Card in the Preferences.

Tip
If the image of your playback stutters, then select a strip > Menu > Strip > Movie Strip > Set Render Size.

Text Strips to Video/Image/Audio/Speech

Accessed through the Add menu > Text to GenerativeAI

0000-0597.mp4

Text to Audio

AudioLDM

Find AudioLDM documentation here: https://github.com/haoheliu/AudioLDM Try prompts like: Bag pipes playing a funeral dirge, punk rock band playing hardcore song, techno dj playing deep bass house music, and acid house loop with jazz. Or: Voice of God judging mankind, woman talking about celestial beings, hammer on wood.

Bark

Find Bark documentation here: https://github.com/suno-ai/bark

• [laughter]
• [laughs]
• [sighs]
• [music]
• [gasps]
• [clears throat]
• — or ... for hesitations
• ♪ for song lyrics
• capitalization for emphasis of a word
• MAN/WOMAN: for bias towards speaker

Speaker Library: https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c

Tip
If the audio breaks up, try processing longer sentences.

Modules

Diffusers: https://github.com/huggingface/diffusers

ModelScope: https://modelscope.cn/models/damo/text-to-video-synthesis/summary

Animov: https://huggingface.co/vdo/animov-0.1.1

Potat1: https://huggingface.co/camenduru/potat1

Zeroscope Dark: https://huggingface.co/cerspense/zeroscope_v2_dark_30x448x256

Zeroscope XL: https://huggingface.co/cerspense/zeroscope_v2_XL

Polyware's T2V: https://huggingface.co/polyware-ai/text-to-video-ms-stable-v1

Longscope: https://huggingface.co/polyware-ai/longscope

AudioLDM: https://huggingface.co/cvssp/audioldm-s-full-v2 https://github.com/haoheliu/AudioLDM

Bark: https://github.com/suno-ai/bark

Deep Floyd IF: https://github.com/deep-floyd/IF

Stable Diffusion XL: https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9

Uninstall

Hugging Face diffusers model are downloaded from the hub and saved to a local cache directory. By default, the cache directory is located at:

On Linux and macOS: ~/.cache/huggingface/transformers

On Windows: %userprofile%.cache\huggingface\transformers

Here you can locate and delete the individual models.

Restrictions for using the AI models:

• The models can only be used for non-commercial purposes. The models are meant for research purposes.
• The models was not trained to realistically represent people or events, so using it to generate such content is beyond the model's capabilities.
• It is prohibited to generate content that is demeaning or harmful to people or their environment, culture, religion, etc.
• Prohibited for pornographic, violent and bloody content generation.
• Prohibited for error and false information generation.