Fixes

Some Modernizations

fix: resolve ORJSON serialization error and enable image download via MCP

Add _merge_negative_prompt function to combine user and preset negative prompts without overwriting. Update texture generation logic to utilize this new function for improved prompt handling.

Update SDK version to 6.1.0 in README and requirements.txt to prevent mismatch with HF Spaces. Enhance image handling in model_handler.py to sanitize metadata from providers, improving compatibility with Gradio.

Enhance app.py to automatically augment user prompts with seamless/tileable texture instructions, improving texture generation accuracy. Update prompt validation to accommodate new instructions and ensure compliance with length limits.

Add logging for application boot in app.py and update README for Hugging Face Spaces setup

Refactor app.py to implement HF Inference client for texture generation, enhancing model handling and error management. Update Gradio interface for improved user experience with advanced controls, presets, and history display. Modify settings for persistent storage in HF Spaces and adjust environment configuration for model ID. Add new dependencies in requirements.txt for huggingface_hub.

Update app.py to introduce new API endpoints for gallery image retrieval, history table generation, and ZIP download functionality. Enhance error handling in texture generation and streamline model access. Modify Gradio interface for improved user experience, including preset display and interaction. Update .gitignore to exclude cursor files.

Refactor app.py to enhance texture generation API, improve error handling, and streamline preset application. Reintroduce gallery image retrieval and history table functions, while updating Gradio interface for better user interaction and parameter reuse from history.

Enhance app.py with new API endpoints for gallery image retrieval, history table generation, and ZIP download of gallery images. Refactor texture generation logic to improve error handling and streamline model function access. Update Gradio interface to include preset information display and improve user experience.

Refactor app.py to streamline texture generation and add API endpoints for texture generation, presets, and history retrieval. Update .gitignore to include environment variable files and create env.example for configuration. Adjust settings to enable MCP server by default.

Add .env configuration file for application settings and update .gitignore to exclude environment files

Refactor reuse_from_history function to return a tuple instead of a dictionary. Update output handling in the Gradio interface to match the new return type.

Add initial implementation of Flux Seamless Texture LoRA application

initial commit