Add New Logo (CompVis#454)

* Add instructions on how to install alongside pyenv (CompVis#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 (CompVis#436)

Co-authored-by: Henry van Megen <[email protected]>

* Add New Logo

Co-authored-by: Håvard Gulldahl <[email protected]>
Co-authored-by: Henry van Megen <[email protected]>
Co-authored-by: Henry van Megen <[email protected]>
Co-authored-by: Lincoln Stein <[email protected]>

Author: 5 people

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.
 
@@ -33,9 +33,9 @@ text-to-image generator. This fork supports:
 
 7. Weighted subprompts for prompt tuning.
 
-8. [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.
+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.
 
 9. Textual inversion for customization of the prompt language and images.
 
@@ -387,9 +387,8 @@ 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`
-    
+
 ```
 (ldm) ~/stable-diffusion$ python3 ./main.py --base ./configs/stable-diffusion/v1-finetune.yaml \
                                             -t \
@@ -460,7 +459,7 @@ repository and associated paper for details and limitations.
   - WebUI supports GFPGAN/ESRGAN facial reconstruction and upscaling [Kevin Gibbons](https://github.com/bakkot)
   - WebUI supports incremental display of in-progress images during generation [Kevin Gibbons](https://github.com/bakkot)
   - A new configuration file scheme that allows new models (including upcoming stable-diffusion-v1.5)
-  to be added without altering the code. ([David Wager](https://github.com/maddavid12))
+    to be added without altering the code. ([David Wager](https://github.com/maddavid12))
   - Can specify --grid on dream.py command line as the default.
   - Miscellaneous internal bug and stability fixes.
   - Works on M1 Apple hardware.
@@ -484,8 +483,8 @@ There are separate installation walkthroughs for [Linux](#linux), [Windows](#win
 
 ```
 ~$  wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh
-~$  chmod +x Anaconda3-2022.05-Linux-x86_64.sh 
-~$  ./Anaconda3-2022.05-Linux-x86_64.sh  
+~$  chmod +x Anaconda3-2022.05-Linux-x86_64.sh
+~$  ./Anaconda3-2022.05-Linux-x86_64.sh
 ```
 
 After installing anaconda, you should log out of your system and log back in. If the installation
@@ -674,9 +673,9 @@ python scripts\dream.py
 ```
 
 10. Subsequently, to relaunch the script, first activate the Anaconda
-command window (step 3), enter the stable-diffusion directory (step 5,
-"cd \path\to\stable-diffusion"), run "conda activate ldm" (step 6b),
-and then launch the dream script (step 9).
+    command window (step 3), enter the stable-diffusion directory (step 5,
+    "cd \path\to\stable-diffusion"), run "conda activate ldm" (step 6b),
+    and then launch the dream script (step 9).
 
 **Note:** Tildebyte has written an alternative ["Easy peasy Windows
 install"](https://github.com/lstein/stable-diffusion/wiki/Easy-peasy-Windows-install)

ldm/simplet2i.py

@@ -10,4 +10,4 @@
 class T2I(Generate):
     def __init__(self,**kwargs):
         print(f'>> The ldm.simplet2i module is deprecated. Use ldm.generate instead. It is a drop-in replacement.')
-        super().__init__(kwargs)
+        super().__init__(kwargs)