| --- |
| language: |
| - en |
| - zh |
| license: apache-2.0 |
| pipeline_tag: image-to-image |
| library_name: diffusers |
| tags: |
| - firered |
| - lora |
| - image-editing |
| - inpainting |
| --- |
| |
| # FireRed flowchart best_v7 optimized assets |
| |
| This repository stores the large runtime assets for deploying the flowchart erasing model. |
| The code, service entrypoints, and experiment scripts are maintained in the Git repository. |
| |
| ## Contents |
| |
| - models/flowchart_v7_lora_best/: best_v7 LoRA adapter trained from the Lightning-initialized run. |
| - runtime/optimized/: recommended optimized inference dependencies and local wheels. |
| - service/default_config.json: default inference/service parameters. |
| - metadata/: validation and optimized benchmark metadata. |
| - eval/full_best_new_benchmark_optimized/: optimized benchmark run metadata. |
|
|
| ## Expected Base Model |
|
|
| The remote server is expected to already have the base model at pretrained_models/FireRed-Image-Edit-1.1. |
| |
| If your server stores the base model elsewhere, set MODEL_PATH or edit service/default_config.json. |
| |
| ## Default Inference Parameters |
| |
| - Prompt: Remove all the bright green overlays |
| - Seed: 43 |
| - Steps: 8 |
| - True CFG scale: 1.0 |
| - Guidance scale: 1.0 |
| - Pipeline mode: optimized |
| - Optimized max side: 1664 |
| - Max sequence length: 512 |
| |
| ## Notes |
| |
| The full Python virtual environment is intentionally not uploaded because it is not portable across servers. |
| Use runtime/optimized/requirements_optimized.txt and the wheels under runtime/optimized/wheels/ to rebuild the environment. |
|
|
