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user's prompt is now normalized for reproducibility and written into the destination PNG file as a tEXt metadata chunk named "Dream". You can retrieve the prompt with an image editing program that supports browsing the full metadata, or with the images2prompt.py script located in 'scripts'

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This commit is contained in:
Lincoln Stein 2022-08-22 00:12:16 -04:00
parent 5f352aec87
commit aa2729d868
3 changed files with 66 additions and 55 deletions
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14
ldm/simplet2i.py
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@ -11,7 +11,7 @@ t2i = T2I(outdir = <path> // outputs/txt2img-samples
batch_size = <integer> // how many images to generate per sampling (1)
steps = <integer> // 50
seed = <integer> // current system time
sampler = ['ddim','plms','klms'] // klms
sampler_name= ['ddim','plms','klms'] // klms
grid = <boolean> // false
width = <integer> // image width, multiple of 64 (512)
height = <integer> // image height, multiple of 64 (512)
@ -77,7 +77,7 @@ class T2I:
batch_size
steps
seed
sampler
sampler_name
grid
individual
width
@ -104,15 +104,15 @@ The vast majority of these arguments default to reasonable values.
cfg_scale=7.5,
weights="models/ldm/stable-diffusion-v1/model.ckpt",
config = "configs/latent-diffusion/txt2img-1p4B-eval.yaml",
sampler="klms",
sampler_name="klms",
latent_channels=4,
downsampling_factor=8,
ddim_eta=0.0, # deterministic
fixed_code=False,
precision='autocast',
full_precision=False,
strength=0.75 # default in scripts/img2img.py,
latent_diffusion_weights=False
strength=0.75, # default in scripts/img2img.py
latent_diffusion_weights=False # just to keep track of this parameter when regenerating prompt
):
self.outdir = outdir
self.batch_size = batch_size
@ -124,7 +124,7 @@ The vast majority of these arguments default to reasonable values.
self.cfg_scale = cfg_scale
self.weights = weights
self.config = config
self.sampler_name = sampler
self.sampler_name = sampler_name
self.fixed_code = fixed_code
self.latent_channels = latent_channels
self.downsampling_factor = downsampling_factor
@ -416,7 +416,7 @@ The vast majority of these arguments default to reasonable values.
if self.full_precision:
print('Using slower but more accurate full-precision math (--full_precision)')
else:
print('Using half precision math. Call with --full_precision to use full precision')
print('Using half precision math. Call with --full_precision to use slower but more accurate full precision.')
model.half()
return model

70
scripts/dream.py
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@ -4,6 +4,7 @@ import shlex
import atexit
import os
import sys
from PIL import Image,PngImagePlugin
# readline unavailable on windows systems
try:
@ -48,7 +49,7 @@ def main():
height=height,
batch_size=opt.batch_size,
outdir=opt.outdir,
sampler=opt.sampler,
sampler_name=opt.sampler_name,
weights=weights,
full_precision=opt.full_precision,
config=config,
@ -130,16 +131,15 @@ def main_loop(t2i,parser,log):
def write_log_message(t2i,opt,results,logfile):
''' logs the name of the output image, its prompt and seed to both the terminal and the log file '''
_output_for_individual(t2i,opt,results,logfile)
def _output_for_individual(opt,results,logfile):
switches = _reconstruct_switches(opt)
''' logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata '''
switches = _reconstruct_switches(t2i,opt)
prompt_str = ' '.join(switches)
# when multiple images are produced in batch, then we keep track of where each starts
last_seed = None
img_num = 1
batch_size = opt.batch_size or t2i.batch_size
seenit = {}
for r in results:
seed = r[1]
@ -148,58 +148,43 @@ def _output_for_individual(opt,results,logfile):
if batch_size > 1:
if seed != last_seed:
img_num = 1
log_message += ' # (batch image {img_num} of {batch_size})'
log_message += f' # (batch image {img_num} of {batch_size})'
else:
img_num += 1
log_message += f' # (batch image {img_num} of {batch_size})'
last_seed = seed
print(log_message)
logfile.write(log_message+"\n")
logfile.flush()
if r[0] not in seenit:
seenit[r[0]] = True
try:
_write_prompt_to_png(r[0],f'{prompt_str} -S{seed}')
except FileNotFoundError:
print(f"Could not open file '{r[0]}' for reading")
def _reconstruct_switches(t2i,opt):
'''Normalize the prompt and switches'''
switches = (f'"{opt.prompt}"')
switches = list()
switches.append(f'"{opt.prompt}"')
switches.append(f'-s{opt.steps or t2i.steps}')
switches.append(f'-b{opt.batch_size or t2i.batch_size}')
switches.append(f'-m{opt.sampler or t2i.sampler_name}')
switches.append(f'-W{opt.width or t2i.width}')
switches.append(f'-H{opt.height or t2i.height}')
switches.append(f'-C{opt.cfg_scale or t2i.cfg_scale}')
if opt.init_img:
switches.append(f'-I{opt.init_img}')
if opt.strength:
switches.append(f'-f{opt.strength of t2i.strength}')
if opt.full_precision or t2i.full_precision:
if opt.strength and opt.init_img is not None:
switches.append(f'-f{opt.strength or t2i.strength}')
if t2i.full_precision:
switches.append('-F')
if t2i.model.liaon400m:
switches.append('-l')
return switches
def _output_for_grid(switches,results,logfile):
first_seed = results[0][1]
log_message = " ".join([' ',str(results[0][0])+':',
f'"{switches[0]}"',
*switches[1:],f'-S {results[0][1]}'])
print(log_message)
logfile.write(log_message+"\n")
all_seeds = [row[1] for row in results]
log_message = f' seeds for individual rows: {all_seeds}'
print(log_message)
logfile.write(log_message+"\n")
def _output_for_grid(switches,results,logfile):
first_seed = results[0][1]
log_message = " ".join([' ',str(results[0][0])+':',
f'"{switches[0]}"',
*switches[1:],f'-S {results[0][1]}'])
print(log_message)
logfile.write(log_message+"\n")
all_seeds = [row[1] for row in results]
log_message = f' seeds for individual rows: {all_seeds}'
print(log_message)
logfile.write(log_message+"\n")
def _write_prompt_to_png(path,prompt):
info = PngImagePlugin.PngInfo()
info.add_text("Dream",prompt)
im = Image.open(path)
im.save(path,"PNG",pnginfo=info)
def create_argv_parser():
parser = argparse.ArgumentParser(description="Parse script's command line args")
@ -220,11 +205,12 @@ def create_argv_parser():
parser.add_argument('-b','--batch_size',
type=int,
default=1,
help="number of images to produce per iteration (currently not working properly - producing too many images)")
help="number of images to produce per iteration (faster, but doesn't generate individual seeds")
parser.add_argument('--sampler','-m',
dest="sampler_name",
choices=['plms','ddim', 'klms'],
default='klms',
help="which sampler to use (klms)")
help="which sampler to use (klms) - can only be set on command line")
parser.add_argument('-o',
'--outdir',
type=str,
@ -240,10 +226,6 @@ def create_cmd_parser():
parser.add_argument('-S','--seed',type=int,help="image seed")
parser.add_argument('-n','--iterations',type=int,default=1,help="number of samplings to perform")
parser.add_argument('-b','--batch_size',type=int,default=1,help="number of images to produce per sampling")
parser.add_argument('--sampler',
choices=['plms','ddim', 'klms'],
default='klms',
help="which sampler to use (klms)")
parser.add_argument('-W','--width',type=int,help="image width, multiple of 64")
parser.add_argument('-H','--height',type=int,help="image height, multiple of 64")
parser.add_argument('-C','--cfg_scale',default=7.5,type=float,help="prompt configuration scale")

29
scripts/images2prompt.py Normal file
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@ -0,0 +1,29 @@
#!/usr/bin/env python3
'''This script reads the "Dream" Stable Diffusion prompt embedded in files generated by dream.py'''
import sys
from PIL import Image,PngImagePlugin
if len(sys.argv) < 2:
print("Usage: file2prompt.py <file1.png> <file2.png> <file3.png>...")
exit(-1)
filenames = sys.argv[1:]
for f in filenames:
try:
im = Image.open(f)
try:
prompt = im.text['Dream']
except KeyError:
prompt = ''
print(f'{f}: {prompt}')
except FileNotFoundError:
sys.stderr.write(f'{f} not found\n')
continue
except PermissionError:
sys.stderr.write(f'{f} could not be opened due to inadequate permissions\n')
continue