Errata - Trim trailing white space in the whole repo (#8575)

* Trim all the trailing white space in the whole repo

* Remove unnecessary empty places

* make style && make quality

* Trim trailing white space

* trim

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

examples/dreambooth/README_sd3.md

@@ -54,6 +54,8 @@ write_basic_config()
 ```
 
 When running `accelerate config`, if we specify torch compile mode to True there can be dramatic speedups.
+Note also that we use PEFT library as backend for LoRA training, make sure to have `peft>=0.6.0` installed in your environment.
+
 
 ### Dog toy example
 
@@ -72,6 +74,8 @@ snapshot_download(
 )
 ```
 
+This will also allow us to push the trained LoRA parameters to the Hugging Face Hub platform.
+
 Now, we can launch training using:
 
 ```bash

examples/research_projects/instructpix2pix_lora/README.md

@@ -42,7 +42,6 @@ input_image_path = "/path/to/input_image"
 input_image = Image.open(input_image_path)
 edited_images = pipe_lora(num_images_per_prompt=1, prompt=args.edit_prompt, image=input_image, num_inference_steps=1000).images
 edited_images[0].show()
-
 ```
 
 ## Results

examples/research_projects/intel_opts/README.md

@@ -29,7 +29,6 @@ export MALLOC_CONF="oversize_threshold:1,background_thread:true,metadata_thp:aut
 numactl --membind <node N> -C <cpu list> python python inference_bf16.py
 # Launch with DPMSolverMultistepScheduler
 numactl --membind <node N> -C <cpu list> python python inference_bf16.py --dpm
-
 ```
 
 ## Accelerating the inference for Stable Diffusion using INT8

examples/text_to_image/README_sdxl.md

@@ -239,7 +239,6 @@ accelerate launch  --config_file $ACCELERATE_CONFIG_FILE train_text_to_image_lor
   --seed=1234 \
   --output_dir="sd-naruto-model-lora-sdxl" \
   --validation_prompt="cute dragon creature"
-
 ```