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fix: update default values in lumina minimal inference as same as sample generation

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Kohya S
2025-07-09 23:33:50 +09:00
parent 7fb0d30feb
commit 3f9eab4946
1 changed files with 3 additions and 3 deletions
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6
lumina_minimal_inference.py
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@@ -205,8 +205,8 @@ def setup_parser() -> argparse.ArgumentParser:
parser.add_argument("--negative_prompt", type=str, default="", help="Negative prompt for image generation, default is empty")
parser.add_argument("--output_dir", type=str, default="outputs", help="Output directory for generated images")
parser.add_argument("--seed", type=int, default=None, help="Random seed")
parser.add_argument("--steps", type=int, default=30, help="Number of inference steps")
parser.add_argument("--guidance_scale", type=float, default=4.0, help="Guidance scale for classifier-free guidance")
parser.add_argument("--steps", type=int, default=36, help="Number of inference steps")
parser.add_argument("--guidance_scale", type=float, default=3.5, help="Guidance scale for classifier-free guidance")
parser.add_argument("--image_width", type=int, default=1024, help="Image width")
parser.add_argument("--image_height", type=int, default=1024, help="Image height")
parser.add_argument("--dtype", type=str, default="bf16", help="Data type for model (bf16, fp16, float)")
@@ -224,7 +224,7 @@ def setup_parser() -> argparse.ArgumentParser:
parser.add_argument(
"--discrete_flow_shift",
type=float,
default=1.0,
default=6.0,
help="Shift value for FlowMatchEulerDiscreteScheduler",
)
parser.add_argument(