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Accelerate: fix get_trainable_params in controlnet-llite training #1322

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May 19, 2024
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2 changes: 1 addition & 1 deletion sdxl_train_control_net_lllite.py
Original file line number Diff line number Diff line change
Expand Up @@ -477,7 +477,7 @@ def remove_model(old_ckpt_name):

accelerator.backward(loss)
if accelerator.sync_gradients and args.max_grad_norm != 0.0:
params_to_clip = unet.get_trainable_params()
params_to_clip = accelerator.unwrap_model(unet).get_trainable_params()
accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)

optimizer.step()
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