Add New Logo (#454)

* Add instructions on how to install alongside pyenv (#393)

Like probably many others, I have a lot of different virtualenvs, one for each project. Most of them are handled by `pyenv`. 
After installing according to these instructions I had issues with ´pyenv`and `miniconda` fighting over the $PATH of my system.
But then I stumbled upon this nice solution on SO: https://stackoverflow.com/a/73139031 , upon which I have based my suggested changes.

It runs perfectly on my M1 setup, with the anaconda setup as a virtual environment handled by pyenv. 

Feel free to incorporate these instructions as you see fit. 

Thanks a million for all your hard work.

* Disabled debug output (#436)

Co-authored-by: Henry van Megen <hvanmegen@gmail.com>

* Add New Logo

Co-authored-by: Håvard Gulldahl <havard@lurtgjort.no>
Co-authored-by: Henry van Megen <h.vanmegen@gmail.com>
Co-authored-by: Henry van Megen <hvanmegen@gmail.com>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>

README.md

@@ -1,7 +1,7 @@
 <h1 align='center'><b>Stable Diffusion Dream Script</b></h1>
 
 <p align='center'>
-<img src="static/logo_temp.png"/>
+<img src="static/logo.png"/>
 </p>
 
 <p align="center">
@@ -22,7 +22,7 @@ text-to-image generator. This fork supports:
    generating images in your browser.
 
 3. Support for img2img in which you provide a seed image to guide the
-      image creation
+   image creation. (inpainting & masking coming soon)
 
 4. Preliminary inpainting support.
 
@@ -33,7 +33,7 @@ text-to-image generator. This fork supports:
 
 7. Weighted subprompts for prompt tuning.
 
-8. [Image variations](VARIATIONS.md) which allow you to systematically
+7. [Image variations](VARIATIONS.md) which allow you to systematically
    generate variations of an image you like and combine two or more
    images together to combine the best features of both.
 
@@ -387,7 +387,6 @@ and introducing a new vocabulary to the fixed model.
 
 To train, prepare a folder that contains images sized at 512x512 and execute the following:
 
-
 WINDOWS: As the default backend is not available on Windows, if you're using that platform, set the environment variable `PL_TORCH_DISTRIBUTED_BACKEND=gloo`
 
 ```