tin2tin
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1 year ago | |
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__init__.py | 1 year ago | |
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README.md
Generative AI - Text to Video, Image and Audio in Blender
AI generate video, image and audio from text prompts or strips.
https://github.com/tin2tin/Generative_AI/assets/1322593/7cd69cd0-5842-40f0-b41f-455c77443535
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.)
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First you must download and install git for your platform(must be on PATH(or Bark will fail)): https://git-scm.com/downloads
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Download the add-on: https://github.com/tin2tin/text_to_video/archive/refs/heads/main.zip
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On Windows, right click on the Blender icon and "Run Blender as Administrator"(or you'll get write permission errors).
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Install the add-on as usual: Preferences > Add-ons > Install > select file > enable the add-on.
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In the Generative AI add-on preferences, hit the "Install all Dependencies" button.
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Note that you can change what model cards are used in the various modes here(video, image, audio).
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When it writes that it is finished(if any errors, let me know).
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Open the add-on UI in the Sequencedr > Sidebar > Generative AI.
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The first time any model is executed many GB will have to be downloaded, so go grab lots of coffee.
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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
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 |
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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. |
Text Strips to Video/Image/Audio/Speech
Accessed through the Add menu > Text to GenerativeAI
https://github.com/tin2tin/Generative_AI/assets/1322593/c1d86548-5e6b-46b7-80f2-4d202685fc47
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 |
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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.