dreambooth-dog-1 / diffusers /benchmarks /benchmark_ip_adapters.py
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import argparse
import sys
sys.path.append(".")
from base_classes import IPAdapterTextToImageBenchmark # noqa: E402
IP_ADAPTER_CKPTS = {
"runwayml/stable-diffusion-v1-5": ("h94/IP-Adapter", "ip-adapter_sd15.bin"),
"stabilityai/stable-diffusion-xl-base-1.0": ("h94/IP-Adapter", "ip-adapter_sdxl.bin"),
}
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--ckpt",
type=str,
default="runwayml/stable-diffusion-v1-5",
choices=list(IP_ADAPTER_CKPTS.keys()),
)
parser.add_argument("--batch_size", type=int, default=1)
parser.add_argument("--num_inference_steps", type=int, default=50)
parser.add_argument("--model_cpu_offload", action="store_true")
parser.add_argument("--run_compile", action="store_true")
args = parser.parse_args()
args.ip_adapter_id = IP_ADAPTER_CKPTS[args.ckpt]
benchmark_pipe = IPAdapterTextToImageBenchmark(args)
args.ckpt = f"{args.ckpt} (IP-Adapter)"
benchmark_pipe.benchmark(args)