what are best fee uncesored and local AI models for picture and video generation?
As of my last knowledge update in October 2023, there are several noteworthy open-source and local AI models for picture and video generation. Here are some of the best options:
### Image Generation
1. **Stable Diffusion**:
- An open-source text-to-image model that can generate high-quality images from textual descriptions. It can be run locally on a powerful GPU and has been praised for its versatility and output quality.
- GitHub: [Stable Diffusion](https://github.com/CompVis/stable-diffusion)
2. **DALL-E Mini (now called Craiyon)**:
- A lighter version of OpenAI's DALL-E, it can generate images from text input. While it may not match the quality of the original DALL-E, it's accessible and can be run locally.
3. **RunwayML**:
- Provides a suite of tools for creatives, including image generation models like Stable Diffusion and others. While some features are cloud-based, many models can be accessed locally using their toolkit.
### Video Generation
1. **RunwayML (for Video)**:
- Runway also offers video generation tools, especially in its commercial offerings. They accommodate various model integrations that allow for creative content generation in video formats.
2. **First Order Motion Model**:
- This model allows you to animate a still image using a driving video. It effectively maps the motion from the video to the image and can produce impressive results. You can run this model locally with the necessary setup.
3. **StyleGAN and StyleGAN2**:
- While primarily known for high-quality image generation, with some modifications and tricks (like interpolation), these models can be adapted for generating short video clips.
4. **Deep Video Portraits**:
- This research project enables the creation of video portraits that can be manipulated, though it's more academic in nature and might require significant setup.
### Additional Notes
- **Hugging Face**: Offers a variety of models and interfaces to experiment with many of these models, including those for video and image generation. You can find an extensive collection of models on [Hugging Face Model Hub](https://huggingface.co/models).
- **Local Setup Considerations**: Running these models locally typically requires a capable GPU, sufficient RAM, and sometimes a bit of technical expertise for installation and use. Libraries like TensorFlow or PyTorch are generally required.
- **Licensing**: Be sure to check the licenses for any models you are interested in, especially if you intend to use them for commercial purposes.
### Future Trends
As technology advances, the field of generative AI is rapidly evolving, and new models may emerge that outperform existing solutions. Regularly checking updates from leading AI research labs or communities can help you stay informed about the best tools available.


