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fix vae dtype when accelerate config using --mixed_precision="fp16" #9601

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Merged
merged 2 commits into from
Oct 7, 2024
Merged

fix vae dtype when accelerate config using --mixed_precision="fp16" #9601

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e7ef7b6
fix vae dtype when accelerate config using --mixed_precision="fp16"
xduzhangjiayu Oct 7, 2024
be4c810
Add param for upcast vae
xduzhangjiayu Oct 7, 2024
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10 changes: 9 additions & 1 deletion examples/controlnet/train_controlnet_sd3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -357,6 +357,11 @@ def parse_args(input_args=None):
action="store_true",
help="Whether or not to use gradient checkpointing to save memory at the expense of slower backward pass.",
)
parser.add_argument(
"--upcast_vae",
action="store_true",
help="Whether or not to upcast vae to fp32",
)
parser.add_argument(
"--learning_rate",
type=float,
Expand Down Expand Up @@ -1094,7 +1099,10 @@ def load_model_hook(models, input_dir):
weight_dtype = torch.bfloat16

# Move vae, transformer and text_encoder to device and cast to weight_dtype
vae.to(accelerator.device, dtype=torch.float32)
if args.upcast_vae:
vae.to(accelerator.device, dtype=torch.float32)
else:
vae.to(accelerator.device, dtype=weight_dtype)
transformer.to(accelerator.device, dtype=weight_dtype)
text_encoder_one.to(accelerator.device, dtype=weight_dtype)
text_encoder_two.to(accelerator.device, dtype=weight_dtype)
Expand Down
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