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scripts/training/run_train_flux_deepspeed.sh

@@ -33,7 +33,7 @@ accelerate launch \
     "$PROJECT_DIR/scripts/training/train_flux_deepspeed.py" \
     --embedding-dir "$EMBEDDING_DIR" \
     --output-dir "/data0/checkpoints/flux_lora_ds" \
-    --batch-size 4 \
+    --batch-size 2 \
     --gradient-accumulation 4 \
     --learning-rate 1e-4 \
     --lr-warmup-steps 500 \

scripts/training/train_flux_deepspeed.py

@@ -105,6 +105,7 @@ def main():
         cache_dir=args.cache_dir,
     )
 
+    # ZeRO-2 is compatible with gradient checkpointing (ZeRO-3 is not on PyTorch 2.12+)
     transformer.enable_gradient_checkpointing()
 
     lora_config = LoraConfig(