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Allow selecting precision to make Dreambooth class images #1832

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Merged
patil-suraj merged 3 commits into from
Dec 27, 2022
Merged

Allow selecting precision to make Dreambooth class images #1832

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c9d28db
allow selecting precision to make DB class images
kabachuha Dec 26, 2022
84bf0cc
add prior_generation_precision argument
kabachuha Dec 27, 2022
f0a5209
correct prior_generation_precision's description
kabachuha Dec 27, 2022
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16 changes: 16 additions & 0 deletions examples/dreambooth/train_dreambooth.py
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Original file line number Diff line number Diff line change
Expand Up @@ -247,6 +247,16 @@ def parse_args(input_args=None):
" flag passed with the `accelerate.launch` command. Use this argument to override the accelerate config."
),
)
parser.add_argument(
"--prior_generation_precision",
type=str,
default=None,
choices=["no", "fp32", "fp16", "bf16"],
help=(
"Choose prior generation precision between fp32, fp16 and bf16 (bfloat16). Bf16 requires PyTorch >="
" 1.10.and an Nvidia Ampere GPU. Default to fp16 if a GPU is available else fp32."
),
)
parser.add_argument("--local_rank", type=int, default=-1, help="For distributed training: local_rank")

if input_args is not None:
Expand Down Expand Up @@ -433,6 +443,12 @@ def main(args):

if cur_class_images < args.num_class_images:
torch_dtype = torch.float16 if accelerator.device.type == "cuda" else torch.float32
if args.prior_generation_precision == "fp32":
torch_dtype = torch.float32
elif args.prior_generation_precision == "fp16":
torch_dtype = torch.float16
elif args.prior_generation_precision == "bf16":
torch_dtype = torch.bfloat16
pipeline = DiffusionPipeline.from_pretrained(
args.pretrained_model_name_or_path,
torch_dtype=torch_dtype,
Expand Down