Update README_sd3.md

Author: nprabhakar

examples/dreambooth/README_sd3.md

@@ -93,7 +93,6 @@ accelerate launch train_dreambooth_sd3.py \
   --train_batch_size=1 \
   --gradient_accumulation_steps=4 \
   --learning_rate=1e-4 \
-  --report_to="wandb" \
   --lr_scheduler="constant" \
   --lr_warmup_steps=0 \
   --max_train_steps=500 \
@@ -219,4 +218,4 @@ accelerate launch train_dreambooth_lora_sd3.py \
 
 1. We default to the "logit_normal" weighting scheme for the loss following the SD3 paper. Thanks to @bghira for helping us discover that for other weighting schemes supported from the training script, training may incur numerical instabilities.
 2. Thanks to `bghira`, `JinxuXiang`, and `bendanzzc` for helping us discover a bug in how VAE encoding was being done previously. This has been fixed in [#8917](https://github.com/huggingface/diffusers/pull/8917).
-3. Additionally, we now have the option to control if we want to apply preconditioning to the model outputs via a `--precondition_outputs` CLI arg. It affects how the model `target` is calculated as well.
+3. Additionally, we now have the option to control if we want to apply preconditioning to the model outputs via a `--precondition_outputs` CLI arg. It affects how the model `target` is calculated as well.