From b5d3df18c3a56699a3658ad58a02d4494836972f Mon Sep 17 00:00:00 2001
From: Volpeon <git@volpeon.ink>
Date: Wed, 21 Jun 2023 21:46:15 +0200
Subject: Update

---
 training/strategy/dreambooth.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

(limited to 'training/strategy')

diff --git a/training/strategy/dreambooth.py b/training/strategy/dreambooth.py
index 88b441b..43fe838 100644
--- a/training/strategy/dreambooth.py
+++ b/training/strategy/dreambooth.py
@@ -1,4 +1,5 @@
 from typing import Optional
+from types import MethodType
 from functools import partial
 from contextlib import contextmanager, nullcontext
 from pathlib import Path
@@ -130,6 +131,9 @@ def dreambooth_strategy_callbacks(
         unet_ = accelerator.unwrap_model(unet, keep_fp32_wrapper=False)
         text_encoder_ = accelerator.unwrap_model(text_encoder, keep_fp32_wrapper=False)
 
+        unet_.forward = MethodType(unet_.forward, unet_)
+        text_encoder_.forward = MethodType(text_encoder_.forward, text_encoder_)
+
         with ema_context():
             pipeline = VlpnStableDiffusion(
                 text_encoder=text_encoder_,
@@ -185,6 +189,7 @@ def dreambooth_prepare(
     train_dataloader: DataLoader,
     val_dataloader: Optional[DataLoader],
     lr_scheduler: torch.optim.lr_scheduler._LRScheduler,
+    text_encoder_unfreeze_last_n_layers: int = 2,
     **kwargs
 ):
     (
@@ -198,6 +203,11 @@ def dreambooth_prepare(
         text_encoder, unet, optimizer, train_dataloader, val_dataloader, lr_scheduler
     )
 
+    for layer in text_encoder.text_model.encoder.layers[
+        : (-1 * text_encoder_unfreeze_last_n_layers)
+    ]:
+        layer.requires_grad_(False)
+
     text_encoder.text_model.embeddings.requires_grad_(False)
 
     return text_encoder, unet, optimizer, train_dataloader, val_dataloader, lr_scheduler
-- 
cgit v1.2.3-70-g09d2