Add (Scheduled) Pseudo-Huber Loss training scripts to research projects

examples/research_projects/scheduled_huber_loss_training/README.md

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+# Scheduled Pseudo-Huber Loss for Diffusers
+
+These are the modifications of to include the possibility of training text2image models with Scheduled Pseudo Huber loss, introduced in https://arxiv.org/abs/2403.16728. (https://github.com/kabachuha/SPHL-for-stable-diffusion)
+
+## Why this might be useful?
+
+- If you suspect that the part of the training dataset might be corrupted, and you don't want these outliers to distort the model's supposed output
+
+- If you want to improve the aesthetic quality of pictures by helping the model disentangle concepts and be less influenced by another sorts of pictures.
+
+See https://github.com/huggingface/diffusers/issues/7488 for the detailed description.
+
+## Instructions
+
+The same usage as in the case of the corresponding vanilla Diffusers scripts https://github.com/huggingface/diffusers/tree/main/examples