docs: fix invalid links (#11505)

* fix invalid link lora.md

* fix invalid link controlnet_sdxl.md

The Hugging Face models page now uses the tags parameter instead of the other parameter for tag-based filtering. Therefore, to simultaneously apply both the "Stable Diffusion XL" and "ControlNet" tags, the following URL should be used: https://huggingface.co/models?tags=stable-diffusion-xl,controlnet

* fix invalid link cosine_dpm.md

"https://github.com/Stability-AI/stable-audio-tool" -> "https://github.com/Stability-AI/stable-audio-tools

"

* Update controlnet_sdxl.md

* Update cosine_dpm.md

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

docs/source/en/api/schedulers/cosine_dpm.md

@@ -13,7 +13,7 @@ specific language governing permissions and limitations under the License.
 # CosineDPMSolverMultistepScheduler
 
 The [`CosineDPMSolverMultistepScheduler`] is a variant of [`DPMSolverMultistepScheduler`] with cosine schedule, proposed by Nichol and Dhariwal (2021).
-It is being used in the [Stable Audio Open](https://huggingface.co/papers/2407.14358) paper and the [Stability-AI/stable-audio-tool](https://github.com/Stability-AI/stable-audio-tool) codebase.
+It is being used in the [Stable Audio Open](https://huggingface.co/papers/2407.14358) paper and the [Stability-AI/stable-audio-tool](https://github.com/Stability-AI/stable-audio-tools) codebase.
 
 This scheduler was contributed by [Yoach Lacombe](https://huggingface.co/ylacombe).
 

docs/source/en/training/lora.md

@@ -87,7 +87,7 @@ Lastly, if you want to train a model on your own dataset, take a look at the [Cr
 
 <Tip>
 
-The following sections highlight parts of the training script that are important for understanding how to modify it, but it doesn't cover every aspect of the script in detail. If you're interested in learning more, feel free to read through the [script](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/text_to_image_lora.py) and let us know if you have any questions or concerns.
+The following sections highlight parts of the training script that are important for understanding how to modify it, but it doesn't cover every aspect of the script in detail. If you're interested in learning more, feel free to read through the [script](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_lora.py) and let us know if you have any questions or concerns.
 
 </Tip>