diff options
Diffstat (limited to 'training/strategy/dreambooth.py')
-rw-r--r-- | training/strategy/dreambooth.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/training/strategy/dreambooth.py b/training/strategy/dreambooth.py index e5e84c8..28fccff 100644 --- a/training/strategy/dreambooth.py +++ b/training/strategy/dreambooth.py | |||
@@ -137,8 +137,8 @@ def dreambooth_strategy_callbacks( | |||
137 | 137 | ||
138 | print("Saving model...") | 138 | print("Saving model...") |
139 | 139 | ||
140 | unet_ = accelerator.unwrap_model(unet, False) | 140 | unet_ = accelerator.unwrap_model(unet, keep_fp32_wrapper=False) |
141 | text_encoder_ = accelerator.unwrap_model(text_encoder, False) | 141 | text_encoder_ = accelerator.unwrap_model(text_encoder, keep_fp32_wrapper=False) |
142 | 142 | ||
143 | with ema_context(): | 143 | with ema_context(): |
144 | pipeline = VlpnStableDiffusion( | 144 | pipeline = VlpnStableDiffusion( |
@@ -160,8 +160,8 @@ def dreambooth_strategy_callbacks( | |||
160 | @torch.no_grad() | 160 | @torch.no_grad() |
161 | def on_sample(step): | 161 | def on_sample(step): |
162 | with ema_context(): | 162 | with ema_context(): |
163 | unet_ = accelerator.unwrap_model(unet, False) | 163 | unet_ = accelerator.unwrap_model(unet, keep_fp32_wrapper=True) |
164 | text_encoder_ = accelerator.unwrap_model(text_encoder, False) | 164 | text_encoder_ = accelerator.unwrap_model(text_encoder, keep_fp32_wrapper=True) |
165 | 165 | ||
166 | orig_unet_dtype = unet_.dtype | 166 | orig_unet_dtype = unet_.dtype |
167 | orig_text_encoder_dtype = text_encoder_.dtype | 167 | orig_text_encoder_dtype = text_encoder_.dtype |