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Add Ascend NPU support for SDXL. #7916

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Merged
merged 3 commits into from
May 12, 2024
Merged

Add Ascend NPU support for SDXL. #7916

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c31a351
Add Ascend NPU support for SDXL.
May 11, 2024
5dcb97b
Merge branch 'main' into main
sayakpaul May 11, 2024
d3cde29
Merge branch 'main' into main
sayakpaul May 12, 2024
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15 changes: 12 additions & 3 deletions examples/text_to_image/train_text_to_image_sdxl.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,15 +50,16 @@
from diffusers.training_utils import EMAModel, compute_snr
from diffusers.utils import check_min_version, is_wandb_available
from diffusers.utils.hub_utils import load_or_create_model_card, populate_model_card
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.import_utils import is_torch_npu_available, is_xformers_available
from diffusers.utils.torch_utils import is_compiled_module


# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
check_min_version("0.28.0.dev0")

logger = get_logger(__name__)

if is_torch_npu_available():
torch.npu.config.allow_internal_format = False

DATASET_NAME_MAPPING = {
"lambdalabs/naruto-blip-captions": ("image", "text"),
Expand Down Expand Up @@ -460,6 +461,9 @@ def parse_args(input_args=None):
),
)
parser.add_argument("--local_rank", type=int, default=-1, help="For distributed training: local_rank")
parser.add_argument(
"--enable_npu_flash_attention", action="store_true", help="Whether or not to use npu flash attention."
)
parser.add_argument(
"--enable_xformers_memory_efficient_attention", action="store_true", help="Whether or not to use xformers."
)
Expand Down Expand Up @@ -716,7 +720,12 @@ def main(args):
args.pretrained_model_name_or_path, subfolder="unet", revision=args.revision, variant=args.variant
)
ema_unet = EMAModel(ema_unet.parameters(), model_cls=UNet2DConditionModel, model_config=ema_unet.config)

if args.enable_npu_flash_attention:
if is_torch_npu_available():
logger.info("npu flash attention enabled.")
unet.enable_npu_flash_attention()
else:
raise ValueError("npu flash attention requires torch_npu extensions and is supported only on npu devices.")
if args.enable_xformers_memory_efficient_attention:
if is_xformers_available():
import xformers
Expand Down