# PALLAIDIUM - Generative AI for the Blender VSE AI-generate video, image, and audio from text prompts or video, image, or text strips. ![PallAIdium](https://github.com/tin2tin/Generative_AI/assets/1322593/1b1b232f-00d9-4b0b-86fb-5f0f24136d2c) ## Features | | | |----------------------------------------------------|-----------------------------------------------------| | Text to video | Text to audio | | Text to speech | Text to image | | Image to image | Image to video | | Video to video | Image to text | | ControlNet | OpenPose | | Canny | Illusion | | Multiple LoRAs | Segmind distilled SDXL | | Seed | Quality steps | | Frames | Word power | | Style selector | Strip power | | Batch conversion | Batch refinement of images. | | Batch upscale & refinement of movies. | Model card selector. | | Render-to-path selector. | Render finished notification. | | Model Cards | One-click install and uninstall dependencies. | | User-defined file path for generated files. | Define the location for storing generated files. | | Seed and prompt added to strip name. | Include seed and prompt information in the strip name. | ![image](https://github.com/tin2tin/Pallaidium/assets/1322593/09bba394-3188-49be-8ae1-37c0c43ec2fd) ## Requirements * Windows (Unsupported: Linux and MacOS). * A CUDA-supported Nvidia card with at least 6 GB VRAM. * 20+ GB HDD. (Each model is 6+ GB). ## How to install * 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 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 vital errors, let me know). * Restart Blender. * Open the add-on UI in the Sequencer > 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 | ## Change Log * 2023-12-18: Add: Bark audio enhance, Segmind Vega. * 2023-12-1: Add SD Turbo & MusicGen Medium, MPS device for MacOS. * 2023-11-30: Add: SVD, SVD-XT, SDXL Turbo ## Location Install Dependencies, set Movie Model Card, and set Sound Notification in the add-on preferences: ![image](https://github.com/tin2tin/Generative_AI/assets/1322593/49ba0182-f8a0-4a1d-b24f-caca9741d033) Video Sequence Editor > Sidebar > Generative AI: ![image](https://github.com/tin2tin/Pallaidium/assets/1322593/e3c1193d-5e0a-4ed2-acca-3f7a4413e4c1) Styles: ![image](https://github.com/tin2tin/Generative_AI/assets/1322593/86807264-a377-4de1-875e-471aaa3011a7) See SDXL handling most of the styles here: https://stable-diffusion-art.com/sdxl-styles/ ## Updates Read about the updates here: https://github.com/tin2tin/Pallaidium/discussions/categories/announcements ## Text to Video The Animov models have been trained on Anime material, so adding "anime" to the prompt is necessary, especially for the Animov-512x model. ## Text to Image 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. ### Artists https://stablediffusion.fr/artists ### Prompting: https://github.com/invoke-ai/InvokeAI/blob/main/docs/features/PROMPTS.md https://stablediffusion.fr/prompts https://blog.segmind.com/generating-photographic-images-with-stable-diffusion/ 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. | Tip | :------------- | 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, are automatically inserted into the prompt and seed value. However, in the add-on preferences, this behavior can be switched off. https://github.com/tin2tin/Pallaidium/assets/1322593/28098eb6-3a93-4bcb-bd6f-53b71faabd8d # 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 | :------------- | 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. ## Performance The performance can be improved by following this guide: https://nvidia.custhelp.com/app/answers/detail/a_id/5490/~/system-memory-fallback-for-stable-diffusion On 6 GB of VRAM I typically render images first with 1024x512 images with SDXL. And img2vid with Zeroscope XL in 768x384x10 or 640x320x17, with a low Quality Steps value. ## New to Blender? Watch this tutorial: https://youtu.be/4_MIaxzjh5Y?feature=shared ## 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 Würstchen: https://github.com/dome272/Wuerstchen 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 Segmind SDXL: https://huggingface.co/segmind/SSD-1B https://blog.segmind.com/generating-photographic-images-with-stable-diffusion/ ## Uninstall Hugging Face Diffusers models 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/hub On Windows: %userprofile%\\.cache\huggingface\hub Here you can locate and delete the individual models. ## Useful add-ons ### Add Rendered Strips Since the Generative AI add-on only can input image or movie strips, you'll need to convert other strip types to movie-strip. For this purpose, this add-on can be used: https://github.com/tin2tin/Add_Rendered_Strips ![image](https://github.com/tin2tin/Generative_AI/assets/1322593/d8c0a184-d812-440d-a5a8-501a1282d78d) ### VSE Masking Tools For creating a mask on top of a clip in the Sequencer, this add-on can be used to input the clip as background in the Blender Image Editor. The created mask can then be added to the VSE as a strip, and converted to video with the above add-on: https://github.com/tin2tin/vse_masking_tools ![image](https://github.com/tin2tin/Generative_AI/assets/1322593/f2afd36c-34b1-4779-957b-0eb8defed296) ### Subtitle Editor Edit and navigate in the generated text strips. https://github.com/tin2tin/Subtitle_Editor ### Screenwriter Assistant Get chatGPT to generate stories, which can be used as prompts. https://github.com/tin2tin/Blender_Screenwriter_Assistant_chat_GPT ### Text to Strip Convert text from the Text Editor to strips which can be used as prompts for batch generation. https://github.com/tin2tin/text_to_strip ## Useful Projects Trainer for LoRAs: https://github.com/johnman3032/simple-lora-dreambooth-trainer ## Video Examples ### Image to Text https://github.com/tin2tin/Pallaidium/assets/1322593/91eb17e4-72d6-4c69-8e5c-a3d38af5a770 ### Illusion Diffusion https://github.com/tin2tin/Pallaidium/assets/1322593/42eadfd8-3ebf-4747-b8e0-7b79fe8626b6 ### Scribble https://github.com/tin2tin/Pallaidium/assets/1322593/c74a4e38-8b16-423b-be78-aadfbfe284dc ### Styles https://github.com/tin2tin/Pallaidium/assets/1322593/b80812b4-e3be-40b0-a73b-bc55b7eeadf7 ### ControlNet https://github.com/tin2tin/Pallaidium/assets/1322593/a1e94e09-0147-40ae-b4c2-4ce0671b1289 ### OpenPose https://github.com/tin2tin/Pallaidium/assets/1322593/ac9f278e-9fc9-46fc-a4e7-562ff041964f ### Zeroscope [![Watch the video](https://img.youtube.com/vi/LejSJGmtEvE/0.jpg)](https://youtu.be/LejSJGmtEvE) ### Würstchen [![Watch the video](https://img.youtube.com/vi/CDPmGs_JtSM/0.jpg)](https://youtu.be/CDPmGs_JtSM) ### Bark [![Watch the video](https://img.youtube.com/vi/AAdQfQjENJU/0.jpg)](https://youtu.be/AAdQfQjENJU) ### Batch from Text Strips [![Watch the video](https://img.youtube.com/vi/gSFWGkgaNsE/0.jpg)](https://youtu.be/gSFWGkgaNsE) ### 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 ### Painting https://github.com/tin2tin/Generative_AI/assets/1322593/7cd69cd0-5842-40f0-b41f-455c77443535 ## Enhancement Info ### LCM https://huggingface.co/blog/lcm_lora ### FreeU https://github.com/ChenyangSi/FreeU ## 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.