update compel to fix black screens and use new downweighting algorithm (

#2961)

Update `compel` to 1.0.0.

This fixes #2832.

It also changes the way downweighting is applied. In particular,
downweighting should now be much better and more controllable.

From the [compel
changelog](https://github.com/damian0815/compel#changelog):

> Downweighting now works by applying an attention mask to remove the
downweighted tokens, rather than literally removing them from the
sequence. This behaviour is the default, but the old behaviour can be
re-enabled by passing `downweight_mode=DownweightMode.REMOVE` on init of
the `Compel` instance.
>
> Formerly, downweighting a token worked by both multiplying the
weighting of the token's embedding, and doing an inverse-weighted blend
with a copy of the token sequence that had the downweighted tokens
removed. The intuition is that as weight approaches zero, the tokens
being downweighted should be actually removed from the sequence.
However, removing the tokens resulted in the positioning of all
downstream tokens becoming messed up. The blend ended up blending a lot
more than just the tokens in question.
> 
> As of v1.0.0, taking advice from @keturn and @bonlime
(damian0815/compel#7) the procedure is by
default different. Downweighting still involves a blend but what is
blended is a version of the token sequence with the downweighted tokens
masked out, rather than removed. This correctly preserves positioning
embeddings of the other tokens.

pyproject.toml

@@ -38,7 +38,7 @@ dependencies = [
   "albumentations",
   "click",
   "clip_anytorch",          # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
-  "compel==0.1.10",
+  "compel==1.0.1",
   "datasets",
   "diffusers[torch]~=0.14",
   "dnspython==2.2.1",