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Lincoln Stein 2022-08-22 00:22:12 -04:00
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@ -17,7 +17,11 @@ initialization only happens once. After that image generation
from the command-line interface is very fast.
The script uses the readline library to allow for in-line editing,
command history (up and down arrows), autocompletion, and more.
command history (up and down arrows), autocompletion, and more. To help
keep track of which prompts generated which images, the script writes a
log file of image names and prompts to the selected output directory.
In addition, as of version 1.02, it also writes the prompt into the PNG
file's metadata where it can be retrieved using scripts/images2prompt.py
The script is confirmed to work on Linux and Windows systems. It should
work on MacOSX as well, but this is not confirmed. Note that this script
@ -38,12 +42,19 @@ setting sampler to plms
* Initialization done! Awaiting your command...
dream> ashley judd riding a camel -n2 -s150
Outputs:
outputs/txt2img-samples/00009.png: "ashley judd riding a camel" -n2 -s150 -S 416354203
outputs/txt2img-samples/00010.png: "ashley judd riding a camel" -n2 -s150-S 1362479620
outputs/img-samples/00009.png: "ashley judd riding a camel" -n2 -s150 -S 416354203
outputs/img-samples/00010.png: "ashley judd riding a camel" -n2 -s150 -S 1362479620
dream> "there's a fly in my soup" -n6 -g
outputs/txt2img-samples/00041.png: "there's a fly in my soup" -n6 -g -S 2685670268
outputs/img-samples/00011.png: "there's a fly in my soup" -n6 -g -S 2685670268
seeds for individual rows: [2685670268, 1216708065, 2335773498, 822223658, 714542046, 3395302430]
dream> q
# this shows how to retrieve the prompt stored in the saved image's metadata
(ldm) ~/stable-diffusion$ python3 ./scripts/images2prompt.py outputs/img_samples/*.png
00009.png: "ashley judd riding a camel" -s150 -S 416354203
00010.png: "ashley judd riding a camel" -s150 -S 1362479620
00011.png: "there's a fly in my soup" -n6 -g -S 2685670268
~~~~
The dream> prompt's arguments are pretty much
@ -75,6 +86,12 @@ completely). The default is 0.75, and ranges from 0.25-0.75 give interesting res
## Changes
* v1.01 (21 August 2022)
* A copy of the prompt and all of its switches and options is now stored in the corresponding
image in a tEXt metadata field named "Dream". You can read the prompt using scripts/images2prompt.py,
or an image editor that allows you to explore the full metadata.
**Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!**
* v1.01 (21 August 2022)
* added k_lms sampling.
**Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!**