Seamless-Texture / env.example
Maikeu Locatelli
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.
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# Model Configuration
# HF Inference (Spaces): prefira o repo id canônico (sem "models/").
# O código aceita ambos (ele normaliza), mas esse é o recomendado.
MODEL_ID=gokaygokay/Flux-Seamless-Texture-LoRA
MODEL_PROVIDER=hf-inference
# Paths
OUTPUT_DIR=generated_images
ASSETS_DIR=assets
# MCP Configuration
MCP_ENABLED=true
MCP_ENDPOINT=/gradio_api/mcp/
# Application Settings
MAX_IMAGES=100
CLEANUP_AFTER_DAYS=7
ENABLE_WATERMARK=false
# Logging
LOG_LEVEL=INFO
LOG_FILE=app.log