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Added info on img2img functionality.

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README.md
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@ -3,21 +3,7 @@
This is a fork of CompVis/stable-diffusion, the wonderful open source This is a fork of CompVis/stable-diffusion, the wonderful open source
text-to-image generator. text-to-image generator.
The original has been modified in several minor ways: The original has been modified in several ways:
## Simplified API for text to image generation
There is now a simplified API for text to image generation, which
lets you create images from a prompt in just three lines of code:
~~~~
from ldm.simplet2i import T2I
model = T2I()
outputs = model.text2image("a unicorn in manhattan")
~~~~
Outputs is a list of lists in the format [[filename1,seed1],[filename2,seed2]...]
Please see ldm/simplet2i.py for more information.
## Interactive command-line interface similar to the Discord bot ## Interactive command-line interface similar to the Discord bot
@ -63,8 +49,25 @@ weights (512x512) and the older (256x256) latent diffusion weights
identical to those used in the Discord bot, except you don't need to identical to those used in the Discord bot, except you don't need to
type "!dream". Pass "-h" (or "--help") to list the arguments. type "!dream". Pass "-h" (or "--help") to list the arguments.
This script also provides an img2img feature that lets you seed your
creations with a drawing or photo.
For command-line help, type -h (or --help) at the dream> prompt. For command-line help, type -h (or --help) at the dream> prompt.
## Simplified API for text to image generation
There is now a simplified API for text to image generation, which
lets you create images from a prompt in just three lines of code:
~~~~
from ldm.simplet2i import T2I
model = T2I()
outputs = model.text2image("a unicorn in manhattan")
~~~~
Outputs is a list of lists in the format [[filename1,seed1],[filename2,seed2]...]
Please see ldm/simplet2i.py for more information.
## Workaround for machines with limited internet connectivity ## Workaround for machines with limited internet connectivity
My development machine is a GPU node in a high-performance compute My development machine is a GPU node in a high-performance compute