from mflux.callbacks.callback_manager import CallbackManager from mflux.config.config import Config from mflux.error.exceptions import PromptFileReadError, StopImageGenerationException from mflux.models.flux.variants.fill.flux_fill import Flux1Fill from mflux.ui import defaults as ui_defaults from mflux.ui.cli.parsers import CommandLineParser from mflux.ui.prompt_utils import get_effective_prompt def main(): # 0. Parse command line arguments parser = CommandLineParser(description="Generate an image using the fill tool to complete masked areas.") parser.add_general_arguments() parser.add_model_arguments(require_model_arg=False) parser.add_lora_arguments() parser.add_image_generator_arguments(supports_metadata_config=False) parser.add_fill_arguments() parser.add_output_arguments() args = parser.parse_args() # 0. Default to a higher guidance value for fill related tasks. if args.guidance is None: args.guidance = ui_defaults.DEFAULT_DEV_FILL_GUIDANCE # 1. Load the model flux = Flux1Fill( quantize=args.quantize, local_path=args.path, lora_paths=args.lora_paths, lora_scales=args.lora_scales, ) # 2. Register callbacks memory_saver = CallbackManager.register_callbacks(args=args, model=flux) try: for seed in args.seed: # 3. Generate an image for each seed value image = flux.generate_image( seed=seed, prompt=get_effective_prompt(args), config=Config( num_inference_steps=args.steps, height=args.height, width=args.width, guidance=args.guidance, image_path=args.image_path, masked_image_path=args.masked_image_path, scheduler=args.scheduler, ), ) # 4. Save the image image.save(path=args.output.format(seed=seed), export_json_metadata=args.metadata) except (StopImageGenerationException, PromptFileReadError) as exc: print(exc) finally: if memory_saver: print(memory_saver.memory_stats()) if __name__ == "__main__": main()