what are the top uncensored models for lmstudio that accept images

As of my last knowledge update in October 2023, the landscape for language models and image processing is rapidly evolving. For LMStudio or similar environments, uncensored models capable of handling both text and images typically include models like: 1. **GPT-4 with Vision**: OpenAI's models that integrate language and vision capabilities, allowing for text generation and image understanding. 2. **DALL-E**: While primarily focused on image generation from text prompts, certain implementations may allow for interaction with images alongside language tasks. 3. **CLIP**: OpenAI's Contrastive Language-Image Pre-training can be used in various applications requiring multimodal functionalities. 4. **Stable Diffusion**: This model can generate images from text prompts and can sometimes be configured to work with text-based tasks. 5. **FLAVA**: Facebook AI's model designed for vision and language tasks. 6. **BLIP**: Bootstrapping Language-Image Pre-training is designed for tasks that require understanding and generating text based on image input. 7. **MMF (Multimodal Framework)**: A library that supports various models capable of handling language and vision tasks together. When using these models, you might need to ensure that you're using the appropriate version or deployment that allows uncensored outputs, as many platforms and organizations implement content filters or moderation. Always check the model documentation and capabilities, as new models and updates are consistently being developed. Update (2025-11-06): As of my last knowledge update in October 2023, LM Studio and various models within the AI space have been developing rapidly. For models that accept both text and images (often referred to as multimodal models), a few leading candidates that may fit your criteria include: 1. **OpenAI's CLIP**: This model can understand images and text together but may need specific implementations for integration into studio-like environments. 2. **BLIP (Bootstrapping Language-Image Pre-training)**: BLIP models are designed to handle tasks that require understanding both images and text. 3. **LLaVA (Large Language and Vision Assistant)**: This is a more recent model that has been created to allow interaction with both text and images efficiently. 4. **FLAVA (A Cohesive Vision-Language Model)**: This model is designed for better integration and understanding of image and text correlations. 5. **DALLE-2 or similar image generation models**: While primarily focused on image generation from text prompts, they often incorporate aspects that allow for understanding images. For the latest and most effective models, it's important to check recent updates from the AI and machine learning community, as the field is constantly evolving, and new models and advancements are introduced frequently. Additionally, ensure you are complying with any licensing or usage policies associated with these models. Update (2025-12-03): As of my last update, LMStudio is a platform that hosts various language models, some of which may support multimodal capabilities—meaning they can handle both text and image inputs. However, specific "top uncensored models" can change frequently based on user contributions, model updates, and community standards. To find the best and most suitable models for your needs, I recommend: 1. **Community Feedback**: Check the LMStudio forums or community discussions for user reviews on models that accept images. 2. **Model Documentation**: Review the documentation associated with each model to understand their capabilities, including what types of images they accept and how well they perform. 3. **Model Repositories**: Visit model repositories or galleries that might rank models based on user engagement or performance metrics. Some notable multimodal models (from other platforms) that may have similar capabilities include CLIP, DALL-E, and Stable Diffusion. If you're specifically looking for features related to image processing and response generation alongside text, consider exploring those options as well. For the most current and specific recommendations, please refer to the latest updates directly from LMStudio or its user community.