# Generative AI for Blender
AI generate video, image, and audio from text prompts or video, image, or text strips.
https://github.com/tin2tin/Generative_AI/assets/1322593/7cd69cd0-5842-40f0-b41f-455c77443535
## Features
* Text to video
* Text to audio
* Text to speech
* Text to image
* Image to image (refinement+prompt)
* Image to video (refinement+prompt)
* Video to video (refinement+prompt)
* Style selector.
* Seed, quality steps, frames, word power, denoising, strip power.
* Batch conversion of text and media strips into videos, audio, music, speech, or images.
* Batch refinement of images.
* Batch upscale & refinement of movies.
* Model card selector.
* Render-to-path selector.
* Render finished notification.
* Model Cards: Stable Diffusion 1.5, 2, XL, Deep Floyd IF, Zeroscope, Animov, AudioLMD2 and Bark.
* One click install and uninstall dependencies.
* User-defined file path for generated files.
* Seed and prompt added to strip name.
## Requirements
* Windows or Linux (Could maybe work on MacOS, but someone will have to contribute code to make it work).
* A CUDA-supported Nvidia card with at least 4 GB VRAM.
## How to install
(As for Linux, 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, and audio).
* Then it writes that it is finished(if any errors, let me know).
* Restart Blender.
* 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 |
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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:
Styles:
Se SDXL handling most of the styles here: https://stable-diffusion-art.com/sdxl-styles/
# 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 |
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If the image of your renders breaks, then use the resolution from the Model Card in the Preferences. |
Tip |
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If the image of your playback stutters, then select a strip > Menu > Strip > Movie Strip > Set Render Size. |
Tip |
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If you get the message that CUDA is out of memory, then restart Blender to free up memory and make it stable again. |
# Batch Processing
Select multiple strips and hit Generate. When doing this, the file name, and if found the seed value, is automatically inserted into the prompt and seed value.
# Text to Audio
### 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 on a word
* MAN/WOMAN: for bias towards the speaker
Speaker Library: https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c
Tip |
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If the audio breaks up, try processing longer sentences. |
### AudioLDM2
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.
## AI 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
AudioLDM2 Music: [https://huggingface.co/cvssp/audioldm-s-full-v2 https://github.com/haoheliu/AudioLDM ](https://huggingface.co/cvssp/audioldm2-music )
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 is 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.
## Video Examples
### Zeroscope & Bark:
[](https://youtu.be/LejSJGmtEvE) [](https://youtu.be/AAdQfQjENJU)
### Video to video:
https://github.com/tin2tin/Generative_AI/assets/1322593/c044a0b0-95c2-4b54-af0b-45bc0c670c89
https://github.com/tin2tin/Generative_AI/assets/1322593/0105cd35-b3b2-49cf-91c1-0633dd484177
### Img2img:
https://github.com/tin2tin/Generative_AI/assets/1322593/2dd2d2f1-a1f6-4562-8116-ffce872b79c3
## 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.
