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Function main

diffusers/benchmarks/run_all.py:36–97  ·  view source on GitHub ↗
()

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34
35
36def main():
37 python_files = glob.glob(PATTERN)
38
39 for file in python_files:
40 print(f"****** Running file: {file} ******")
41
42 # Run with canonical settings.
43 if file != "benchmark_text_to_image.py" and file != "benchmark_ip_adapters.py":
44 command = f"python {file}"
45 run_command(command.split())
46
47 command += " --run_compile"
48 run_command(command.split())
49
50 # Run variants.
51 for file in python_files:
52 # See: https://github.com/pytorch/pytorch/issues/129637
53 if file == "benchmark_ip_adapters.py":
54 continue
55
56 if file == "benchmark_text_to_image.py":
57 for ckpt in ALL_T2I_CKPTS:
58 command = f"python {file} --ckpt {ckpt}"
59
60 if "turbo" in ckpt:
61 command += " --num_inference_steps 1"
62
63 run_command(command.split())
64
65 command += " --run_compile"
66 run_command(command.split())
67
68 elif file == "benchmark_sd_img.py":
69 for ckpt in ["stabilityai/stable-diffusion-xl-refiner-1.0", "stabilityai/sdxl-turbo"]:
70 command = f"python {file} --ckpt {ckpt}"
71
72 if ckpt == "stabilityai/sdxl-turbo":
73 command += " --num_inference_steps 2"
74
75 run_command(command.split())
76 command += " --run_compile"
77 run_command(command.split())
78
79 elif file in ["benchmark_sd_inpainting.py", "benchmark_ip_adapters.py"]:
80 sdxl_ckpt = "stabilityai/stable-diffusion-xl-base-1.0"
81 command = f"python {file} --ckpt {sdxl_ckpt}"
82 run_command(command.split())
83
84 command += " --run_compile"
85 run_command(command.split())
86
87 elif file in ["benchmark_controlnet.py", "benchmark_t2i_adapter.py"]:
88 sdxl_ckpt = (
89 "diffusers/controlnet-canny-sdxl-1.0"
90 if "controlnet" in file
91 else "TencentARC/t2i-adapter-canny-sdxl-1.0"
92 )
93 command = f"python {file} --ckpt {sdxl_ckpt}"

Callers 1

run_all.pyFile · 0.70

Calls 1

run_commandFunction · 0.70

Tested by

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