Research folder (huggingface#1553)

* Research folder

* Update examples/research_projects/README.md

* up

pipelines/versatile_diffusion/modeling_text_unet.py

@@ -314,7 +314,7 @@ def set_attention_slice(self, slice_size):
         in several steps. This is useful to save some memory in exchange for a small speed decrease.
 
         Args:
-            slice_size (`str` or `int`, *optional*, defaults to `"auto"`):
+            slice_size (`str` or `int` or `list(int)`, *optional*, defaults to `"auto"`):
                 When `"auto"`, halves the input to the attention heads, so attention will be computed in two steps. If
                 `"max"`, maxium amount of memory will be saved by running only one slice at a time. If a number is
                 provided, uses as many slices as `attention_head_dim // slice_size`. In this case, `attention_head_dim`