minor doc fixes. (#4380)

docs/source/en/training/controlnet.md

@@ -327,3 +327,7 @@ image = pipe(prompt, num_inference_steps=20, generator=generator, image=control_
 
 image.save("./output.png")
 ```
+
+## Stable Diffusion XL
+
+Training with [Stable Diffusion XL](https://huggingface.co/papers/2307.01952) is also supported via the `train_controlnet_sdxl.py` script. Please refer to the docs [here](https://github.com/huggingface/diffusers/blob/main/examples/controlnet/README_sdxl.md). 
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docs/source/en/training/instructpix2pix.md

@@ -212,4 +212,4 @@ If you're looking for some interesting ways to use the InstructPix2Pix training
 
 ## Stable Diffusion XL
 
-We support fine-tuning of the UNet shipped in [Stable Diffusion XL](https://huggingface.co/papers/2307.01952) with DreamBooth and LoRA via the `train_dreambooth_lora_sdxl.py` script. Please refer to the docs [here](https://github.com/huggingface/diffusers/blob/main/examples/instruct_pix2pix/README_sdxl.md). 
+Training with [Stable Diffusion XL](https://huggingface.co/papers/2307.01952) is also supported via the `train_instruct_pix2pix_sdxl.py` script. Please refer to the docs [here](https://github.com/huggingface/diffusers/blob/main/examples/instruct_pix2pix/README_sdxl.md). 
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docs/source/en/using-diffusers/controlling_generation.md

@@ -40,6 +40,7 @@ Unless otherwise mentioned, these are techniques that work with existing models
 12. [Custom Diffusion](#custom-diffusion)
 13. [Model Editing](#model-editing)
 14. [DiffEdit](#diffedit)
+15. [T2I-Adapter](#t2i-adapter)
 
 For convenience, we provide a table to denote which methods are inference-only and which require fine-tuning/training.