Qwen-Image-Layered-MRP-MLX/src/mflux/generate_fill.py
2025-04-24 09:08:21 +02:00

73 lines
2.6 KiB
Python

from mflux import Config, StopImageGenerationException
from mflux.callbacks.callback_registry import CallbackRegistry
from mflux.callbacks.instances.memory_saver import MemorySaver
from mflux.callbacks.instances.stepwise_handler import StepwiseHandler
from mflux.flux_tools.fill.flux_fill import Flux1Fill
from mflux.ui.cli.parsers import CommandLineParser
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 = 30
# 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 the optional callbacks
if args.stepwise_image_output_dir:
handler = StepwiseHandler(flux=flux, output_dir=args.stepwise_image_output_dir)
CallbackRegistry.register_before_loop(handler)
CallbackRegistry.register_in_loop(handler)
CallbackRegistry.register_interrupt(handler)
memory_saver = None
if args.low_ram:
memory_saver = MemorySaver(flux=flux, keep_transformer=len(args.seed) > 1)
CallbackRegistry.register_before_loop(memory_saver)
CallbackRegistry.register_in_loop(memory_saver)
CallbackRegistry.register_after_loop(memory_saver)
try:
for seed in args.seed:
# 3. Generate an image for each seed value
image = flux.generate_image(
seed=seed,
prompt=args.prompt,
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,
),
)
# 4. Save the image
image.save(path=args.output.format(seed=seed), export_json_metadata=args.metadata)
except StopImageGenerationException as stop_exc:
print(stop_exc)
finally:
if memory_saver:
print(memory_saver.memory_stats())
if __name__ == "__main__":
main()