Feature/lora integration

[Limbicnation]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @Limbicnation, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the prompt generation capabilities by integrating LoRA (Low-Rank Adaptation) support. It enables the system to dynamically identify and prioritize fine-tuned Ollama models, offering users more specialized and context-aware prompt generation. The changes include a new Modelfile template for easy creation of LoRA-enhanced models and comprehensive documentation to guide users through the process.

Highlights

• LoRA Integration: Introduced dynamic LoRA model selection and prioritization within the PromptGeneratorNode, allowing for the use of fine-tuned models for prompt generation.
• New Modelfile Template: Added config/Modelfile.limbicnation, a pre-configured template for creating Ollama models with Limbicnation image prompt style LoRA, including a specific system prompt and optimal parameters.
• Dynamic Model Discovery: The PromptGeneratorNode now automatically discovers available Ollama models and prioritizes those containing 'lora', 'limbicnation', 'fine', 'style', or 'prompt' keywords in its dropdown selection.
• Documentation Update: Updated CLAUDE.md with detailed instructions on LoRA training, quantization, integration, and how to create and use LoRA-enhanced models.
• Version Update: The project version has been updated from 1.0.5 to 1.1.1 in pyproject.toml to reflect these new features.

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[gemini-code-assist]

Code Review

This pull request introduces a great feature for integrating LoRA models by dynamically discovering and prioritizing them in the UI. The implementation is clean, with good use of caching to improve performance. The documentation updates in CLAUDE.md and the new Modelfile.limbicnation template are very helpful for users. I have one suggestion to improve the robustness of model discovery in prompt_generator_node.py.