add stable diffusion from huggingface #254
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| from utils.pytorch import PyTorchRunnerV2 | ||
| from utils.text_to_image.stable_diffusion import StableDiffusion | ||
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| if os.environ.get("ENABLE_BF16_X86") == "1": |
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ENABLE_BF16_X86 is currently used to enable implicit bf16 in AML. Here you are explicitly loading model in bfloat16 - create run_pytorch_bf16 function instead.
| @@ -14,7 +14,6 @@ def get_input(self): | |||
| adjectives = ["big", "small", "thin", "wide", "blonde", "pale"] | |||
| nouns = ["dog", "cat", "horse", "astronaut", "human", "robot"] | |||
| actions = ["sings", "rides a triceratop", "rides a horse", "eats a burger", "washes clothes", "looks at hands"] | |||
| seed(42) | |||
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Why remove seed? It's good to have deterministic behavior and repeatable results.
dkupnicki
approved these changes
Aug 29, 2024
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this is a draft pull request, ignore run1.py file.
example command to run on Ampere:
OPENBLAS_NUM_THREADS=10 AIO_IMPLICIT_FP16_TRANSFORM_FILTER=".*" AIO_NUM_THREADS=128 python run_hf.py -m stabilityai/stable-diffusion-xl-base-1.0 -b 1 --steps 25
example command to run on Intel Sapphire:
ENABLE_BF16_X86=1 AIO_NUM_THREADS=128 DNNL_MAX_CPU_ISA=AVX512_CORE_AMX python run_hf.py -m stabilityai/stable-diffusion-xl-base-1.0 -b 1 --steps 25