[docs] Reproducible pipelines (huggingface#7769)

* reproducibility

* feedback

* feedback

* fix path

* github link

Author: stevhliu

docs/source/en/_toctree.yml

@@ -62,7 +62,7 @@
   - local: using-diffusers/callback
     title: Pipeline callbacks
   - local: using-diffusers/reusing_seeds
-    title: Improve image quality with deterministic generation
+    title: Reproducible pipelines
   - local: using-diffusers/control_brightness
     title: Control image brightness
   - local: using-diffusers/weighted_prompts
@@ -89,8 +89,6 @@
     title: Shap-E
   - local: using-diffusers/diffedit
     title: DiffEdit
-  - local: using-diffusers/reproducibility
-    title: Create reproducible pipelines
   - local: using-diffusers/custom_pipeline_examples
     title: Community pipelines
   - local: using-diffusers/contribute_pipeline

docs/source/en/api/utilities.md

@@ -37,3 +37,7 @@ Utility and helper functions for working with 🤗 Diffusers.
 ## make_image_grid
 
 [[autodoc]] utils.make_image_grid
+
+## randn_tensor
+
+[[autodoc]] utils.torch_utils.randn_tensor

docs/source/en/stable_diffusion.md

@@ -49,7 +49,7 @@ One of the simplest ways to speed up inference is to place the pipeline on a GPU
 pipeline = pipeline.to("cuda")
 ```
 
-To make sure you can use the same image and improve on it, use a [`Generator`](https://pytorch.org/docs/stable/generated/torch.Generator.html) and set a seed for [reproducibility](./using-diffusers/reproducibility):
+To make sure you can use the same image and improve on it, use a [`Generator`](https://pytorch.org/docs/stable/generated/torch.Generator.html) and set a seed for [reproducibility](./using-diffusers/reusing_seeds):
 
 ```python
 import torch