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ComfyUi-Ollama-YN integrates custom ComfyUI Nodes with the Ollama Python client to enhance interaction and provide improved prompt descriptors for stable diffusion.
ComfyUi-Ollama-YN is an integrated extension designed to enhance the prompt word generation process for AI artists using ComfyUI. By leveraging the capabilities of the ComfyUI-Prompt-MZ and comfyui-ollama projects, this extension ensures that the generated prompts are more consistent with the requirements of stable diffusion. This can be particularly useful for AI artists who need to generate high-quality prompts for their creative projects, making the process more streamlined and efficient.
ComfyUi-Ollama-YN works by integrating various models and functionalities to generate and refine prompt words. It uses pre-trained models to deduce prompt words from images, answer questions, and embellish text prompts. The extension allows users to switch between different models to achieve the best results for their specific needs. By using simple commands, users can load and run different models, making the extension versatile and adaptable to various creative workflows.
This feature allows you to generate prompt words based on an input image. The default model used for this function is the llava model. If you have a better model, you can change it by updating the model name in the settings.
This feature enables a simple question and answer functionality. The default model for this function is the llama3 model. You can switch to a different model by changing the model name in the settings.
This feature allows you to refine and embellish your text prompts, making them more suitable for your creative needs.
This feature enables the model to answer questions based on the context provided by previous text inputs.
This feature generates prompt words that closely follow the stable diffusion pattern, making them more effective for use in stable diffusion models.
Stable Diffusion Prompt Generation
ComfyUi-Ollama-YN supports various models that can be used for different functionalities. Here are some of the models you can use:
ollama run llama3:8b-instruct-q4_K_M
to load the models.For more information, tutorials, and community support, you can visit the following resources:
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