mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
* Feature complete for #266 with exception of several small deviations: 1. initial image and model weight hashes use full sha256 hash rather than first 8 digits 2. Initialization parameters for post-processing steps not provided 3. Uses top-level "images" tags for both a single image and a grid of images. This change was suggested in a comment. * Added scripts/sd_metadata.py to retrieve and print metadata from PNG files * New ldm.dream.args.Args class is a namespace like object which holds all defaults and can be modified during exection to hold current settings. * Modified dream.py and server.py to accommodate Args class.
This commit is contained in:
Lincoln Stein
GitHub
426
scripts/dream.py
Executable file → Normal file
426
scripts/dream.py
Executable file → Normal file
@ -1,8 +1,6 @@
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#!/usr/bin/env python3
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# Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein)
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import argparse
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import shlex
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import os
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import re
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import sys
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@ -10,7 +8,8 @@ import copy
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import warnings
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import time
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import ldm.dream.readline
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from ldm.dream.pngwriter import PngWriter, PromptFormatter
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from ldm.dream.args import Args, format_metadata
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from ldm.dream.pngwriter import PngWriter
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from ldm.dream.server import DreamServer, ThreadingDreamServer
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from ldm.dream.image_util import make_grid
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from omegaconf import OmegaConf
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@ -22,14 +21,16 @@ output_cntr = 0
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def main():
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"""Initialize command-line parsers and the diffusion model"""
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arg_parser = create_argv_parser()
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opt = arg_parser.parse_args()
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opt = Args()
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args = opt.parse_args()
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if not args:
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sys.exit(-1)
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if opt.laion400m:
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if args.laion400m:
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print('--laion400m flag has been deprecated. Please use --model laion400m instead.')
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sys.exit(-1)
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if opt.weights != 'model':
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print('--weights argument has been deprecated. Please configure ./configs/models.yaml, and call it using --model instead.')
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if args.weights:
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print('--weights argument has been deprecated. Please edit ./configs/models.yaml, and select the weights using --model instead.')
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sys.exit(-1)
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print('* Initializing, be patient...\n')
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@ -47,7 +48,7 @@ def main():
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# the user input loop
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try:
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gen = Generate(
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conf = opt.config,
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conf = opt.conf,
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model = opt.model,
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sampler_name = opt.sampler_name,
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embedding_path = opt.embedding_path,
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@ -91,11 +92,10 @@ def main():
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dream_server_loop(gen, opt.host, opt.port, opt.outdir)
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sys.exit(0)
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cmd_parser = create_cmd_parser()
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main_loop(gen, opt.outdir, opt.prompt_as_dir, cmd_parser, infile)
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main_loop(gen, opt, infile)
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# TODO: main_loop() has gotten busy. Needs to be refactored.
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def main_loop(gen, outdir, prompt_as_dir, parser, infile):
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def main_loop(gen, opt, infile):
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"""prompt/read/execute loop"""
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done = False
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path_filter = re.compile(r'[<>:"/\\|?*]')
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@ -103,8 +103,8 @@ def main_loop(gen, outdir, prompt_as_dir, parser, infile):
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# os.pathconf is not available on Windows
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if hasattr(os, 'pathconf'):
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path_max = os.pathconf(outdir, 'PC_PATH_MAX')
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name_max = os.pathconf(outdir, 'PC_NAME_MAX')
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path_max = os.pathconf(opt.outdir, 'PC_PATH_MAX')
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name_max = os.pathconf(opt.outdir, 'PC_NAME_MAX')
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else:
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path_max = 260
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name_max = 255
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@ -123,41 +123,17 @@ def main_loop(gen, outdir, prompt_as_dir, parser, infile):
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if command.startswith(('#', '//')):
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continue
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# before splitting, escape single quotes so as not to mess
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# up the parser
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command = command.replace("'", "\\'")
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try:
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elements = shlex.split(command)
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except ValueError as e:
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print(str(e))
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continue
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if elements[0] == 'q':
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if command.startswith('q '):
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done = True
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break
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if elements[0].startswith(
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if command.startswith(
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'!dream'
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): # in case a stored prompt still contains the !dream command
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elements.pop(0)
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# rearrange the arguments to mimic how it works in the Dream bot.
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switches = ['']
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switches_started = False
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for el in elements:
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if el[0] == '-' and not switches_started:
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switches_started = True
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if switches_started:
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switches.append(el)
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else:
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switches[0] += el
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switches[0] += ' '
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switches[0] = switches[0][: len(switches[0]) - 1]
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command.replace('!dream','',1)
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try:
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opt = parser.parse_args(switches)
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parser = opt.parse_cmd(command)
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except SystemExit:
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parser.print_help()
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continue
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@ -185,6 +161,7 @@ def main_loop(gen, outdir, prompt_as_dir, parser, infile):
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opt.seed = None
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continue
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# TODO - move this into a module
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if opt.with_variations is not None:
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# shotgun parsing, woo
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parts = []
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@ -220,7 +197,7 @@ def main_loop(gen, outdir, prompt_as_dir, parser, infile):
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# truncate path to maximum allowed length
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# 27 is the length of '######.##########.##.png', plus two separators and a NUL
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subdir = subdir[:(path_max - 27 - len(os.path.abspath(outdir)))]
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subdir = subdir[:(path_max - 27 - len(os.path.abspath(opt.outdir)))]
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current_outdir = os.path.join(outdir, subdir)
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print('Writing files to directory: "' + current_outdir + '"')
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@ -248,31 +225,36 @@ def main_loop(gen, outdir, prompt_as_dir, parser, infile):
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filename = f'{prefix}.{seed}.postprocessed.png'
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else:
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filename = f'{prefix}.{seed}.png'
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# the handling of variations is probably broken
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# Also, given the ability to add stuff to the dream_prompt_str, it isn't
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# necessary to make a copy of the opt option just to change its attributes
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if opt.variation_amount > 0:
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iter_opt = argparse.Namespace(**vars(opt)) # copy
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iter_opt = copy.copy(opt)
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this_variation = [[seed, opt.variation_amount]]
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if opt.with_variations is None:
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iter_opt.with_variations = this_variation
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else:
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iter_opt.with_variations = opt.with_variations + this_variation
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iter_opt.variation_amount = 0
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normalized_prompt = PromptFormatter(
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gen, iter_opt).normalize_prompt()
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metadata_prompt = f'{normalized_prompt} -S{iter_opt.seed}'
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formatted_dream_prompt = iter_opt.dream_prompt_str(seed=seed)
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elif opt.with_variations is not None:
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normalized_prompt = PromptFormatter(
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gen, opt).normalize_prompt()
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# use the original seed - the per-iteration value is the last variation-seed
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metadata_prompt = f'{normalized_prompt} -S{opt.seed}'
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formatted_dream_prompt = opt.dream_prompt_str(seed=seed)
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else:
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normalized_prompt = PromptFormatter(
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gen, opt).normalize_prompt()
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metadata_prompt = f'{normalized_prompt} -S{seed}'
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formatted_dream_prompt = opt.dream_prompt_str(seed=seed)
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path = file_writer.save_image_and_prompt_to_png(
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image, metadata_prompt, filename)
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image = image,
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dream_prompt = formatted_dream_prompt,
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metadata = format_metadata(
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opt,
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seeds = [seed],
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weights = gen.weights,
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model_hash = gen.model_hash,
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),
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name = filename,
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)
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if (not upscaled) or opt.save_original:
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# only append to results if we didn't overwrite an earlier output
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results.append([path, metadata_prompt])
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results.append([path, formatted_dream_prompt])
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last_results.append([path, seed])
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catch_ctrl_c = infile is None # if running interactively, we catch keyboard interrupts
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@ -286,15 +268,22 @@ def main_loop(gen, outdir, prompt_as_dir, parser, infile):
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grid_img = make_grid(list(grid_images.values()))
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grid_seeds = list(grid_images.keys())
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first_seed = last_results[0][1]
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filename = f'{prefix}.{first_seed}.png'
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# TODO better metadata for grid images
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normalized_prompt = PromptFormatter(
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gen, opt).normalize_prompt()
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metadata_prompt = f'{normalized_prompt} -S{first_seed} --grid -n{len(grid_images)} # {grid_seeds}'
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filename = f'{prefix}.{first_seed}.png'
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formatted_dream_prompt = opt.dream_prompt_str(seed=first_seed,grid=True,iterations=len(grid_images))
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formatted_dream_prompt += f' # {grid_seeds}'
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metadata = format_metadata(
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opt,
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seeds = grid_seeds,
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weights = gen.weights,
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model_hash = gen.model_hash
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)
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path = file_writer.save_image_and_prompt_to_png(
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grid_img, metadata_prompt, filename
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image = grid_img,
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dream_prompt = formatted_dream_prompt,
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metadata = metadata,
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name = filename
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)
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results = [[path, metadata_prompt]]
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results = [[path, formatted_dream_prompt]]
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except AssertionError as e:
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print(e)
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@ -325,7 +314,6 @@ def get_next_command(infile=None) -> str: # command string
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print(f'#{command}')
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return command
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def dream_server_loop(gen, host, port, outdir):
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print('\n* --web was specified, starting web server...')
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# Change working directory to the stable-diffusion directory
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@ -365,315 +353,5 @@ def write_log_message(results, log_path):
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with open(log_path, 'a', encoding='utf-8') as file:
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file.writelines(log_lines)
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SAMPLER_CHOICES = [
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'ddim',
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'k_dpm_2_a',
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'k_dpm_2',
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'k_euler_a',
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'k_euler',
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'k_heun',
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'k_lms',
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'plms',
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]
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def create_argv_parser():
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parser = argparse.ArgumentParser(
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description="""Generate images using Stable Diffusion.
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Use --web to launch the web interface.
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Use --from_file to load prompts from a file path or standard input ("-").
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Otherwise you will be dropped into an interactive command prompt (type -h for help.)
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Other command-line arguments are defaults that can usually be overridden
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prompt the command prompt.
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"""
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)
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parser.add_argument(
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'--laion400m',
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'--latent_diffusion',
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'-l',
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dest='laion400m',
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action='store_true',
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help='Fallback to the latent diffusion (laion400m) weights and config',
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)
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parser.add_argument(
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'--from_file',
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dest='infile',
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type=str,
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help='If specified, load prompts from this file',
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)
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parser.add_argument(
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'-n',
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'--iterations',
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type=int,
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default=1,
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help='Number of images to generate',
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)
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parser.add_argument(
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'-F',
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'--full_precision',
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dest='full_precision',
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action='store_true',
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help='Use more memory-intensive full precision math for calculations',
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)
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parser.add_argument(
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'-g',
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'--grid',
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action='store_true',
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help='Generate a grid instead of individual images',
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)
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parser.add_argument(
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'-A',
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'-m',
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'--sampler',
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dest='sampler_name',
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choices=SAMPLER_CHOICES,
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metavar='SAMPLER_NAME',
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default='k_lms',
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help=f'Set the initial sampler. Default: k_lms. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
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)
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parser.add_argument(
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'--outdir',
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'-o',
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type=str,
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default='outputs/img-samples',
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help='Directory to save generated images and a log of prompts and seeds. Default: outputs/img-samples',
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)
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parser.add_argument(
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'--seamless',
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action='store_true',
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help='Change the model to seamless tiling (circular) mode',
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)
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parser.add_argument(
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'--embedding_path',
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type=str,
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help='Path to a pre-trained embedding manager checkpoint - can only be set on command line',
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)
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parser.add_argument(
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'--prompt_as_dir',
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'-p',
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action='store_true',
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help='Place images in subdirectories named after the prompt.',
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)
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# GFPGAN related args
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parser.add_argument(
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'--gfpgan_bg_upsampler',
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type=str,
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default='realesrgan',
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help='Background upsampler. Default: realesrgan. Options: realesrgan, none.',
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)
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parser.add_argument(
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'--gfpgan_bg_tile',
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type=int,
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default=400,
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help='Tile size for background sampler, 0 for no tile during testing. Default: 400.',
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)
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parser.add_argument(
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'--gfpgan_model_path',
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type=str,
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default='experiments/pretrained_models/GFPGANv1.3.pth',
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help='Indicates the path to the GFPGAN model, relative to --gfpgan_dir.',
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)
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parser.add_argument(
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'--gfpgan_dir',
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type=str,
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default='./src/gfpgan',
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help='Indicates the directory containing the GFPGAN code.',
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)
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parser.add_argument(
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'--web',
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dest='web',
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action='store_true',
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help='Start in web server mode.',
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)
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parser.add_argument(
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'--host',
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type=str,
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default='127.0.0.1',
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help='Web server: Host or IP to listen on. Set to 0.0.0.0 to accept traffic from other devices on your network.'
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)
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parser.add_argument(
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'--port',
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type=int,
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default='9090',
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help='Web server: Port to listen on'
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)
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parser.add_argument(
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'--weights',
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default='model',
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help='Indicates the Stable Diffusion model to use.',
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)
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parser.add_argument(
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'--model',
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default='stable-diffusion-1.4',
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help='Indicates which diffusion model to load. (currently "stable-diffusion-1.4" (default) or "laion400m")',
|
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)
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parser.add_argument(
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'--config',
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default='configs/models.yaml',
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help='Path to configuration file for alternate models.',
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)
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return parser
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|
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|
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def create_cmd_parser():
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parser = argparse.ArgumentParser(
|
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description='Example: dream> a fantastic alien landscape -W1024 -H960 -s100 -n12'
|
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)
|
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parser.add_argument('prompt')
|
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parser.add_argument('-s', '--steps', type=int, help='Number of steps')
|
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parser.add_argument(
|
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'-S',
|
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'--seed',
|
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type=int,
|
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help='Image seed; a +ve integer, or use -1 for the previous seed, -2 for the one before that, etc',
|
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)
|
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parser.add_argument(
|
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'-n',
|
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'--iterations',
|
||||
type=int,
|
||||
default=1,
|
||||
help='Number of samplings to perform (slower, but will provide seeds for individual images)',
|
||||
)
|
||||
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(
|
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'-C',
|
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'--cfg_scale',
|
||||
default=7.5,
|
||||
type=float,
|
||||
help='Classifier free guidance (CFG) scale - higher numbers cause generator to "try" harder.',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-g', '--grid', action='store_true', help='generate a grid'
|
||||
)
|
||||
parser.add_argument(
|
||||
'--outdir',
|
||||
'-o',
|
||||
type=str,
|
||||
default=None,
|
||||
help='Directory to save generated images and a log of prompts and seeds',
|
||||
)
|
||||
parser.add_argument(
|
||||
'--seamless',
|
||||
action='store_true',
|
||||
help='Change the model to seamless tiling (circular) mode',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-i',
|
||||
'--individual',
|
||||
action='store_true',
|
||||
help='Generate individual files (default)',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-I',
|
||||
'--init_img',
|
||||
type=str,
|
||||
help='Path to input image for img2img mode (supersedes width and height)',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-M',
|
||||
'--init_mask',
|
||||
type=str,
|
||||
help='Path to input mask for inpainting mode (supersedes width and height)',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-T',
|
||||
'-fit',
|
||||
'--fit',
|
||||
action='store_true',
|
||||
help='If specified, will resize the input image to fit within the dimensions of width x height (512x512 default)',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-f',
|
||||
'--strength',
|
||||
default=0.75,
|
||||
type=float,
|
||||
help='Strength for noising/unnoising. 0.0 preserves image exactly, 1.0 replaces it completely',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-G',
|
||||
'--gfpgan_strength',
|
||||
default=0,
|
||||
type=float,
|
||||
help='The strength at which to apply the GFPGAN model to the result, in order to improve faces.',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-U',
|
||||
'--upscale',
|
||||
nargs='+',
|
||||
default=None,
|
||||
type=float,
|
||||
help='Scale factor (2, 4) for upscaling final output followed by upscaling strength (0-1.0). If strength not specified, defaults to 0.75'
|
||||
)
|
||||
parser.add_argument(
|
||||
'-save_orig',
|
||||
'--save_original',
|
||||
action='store_true',
|
||||
help='Save original. Use it when upscaling to save both versions.',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-embiggen',
|
||||
'--embiggen',
|
||||
nargs='+',
|
||||
default=None,
|
||||
type=float,
|
||||
help='Embiggen tiled img2img for higher resolution and detail without extra VRAM usage. Takes scale factor relative to the size of the --init_img (-I), followed by ESRGAN upscaling strength (0-1.0), followed by minimum amount of overlap between tiles as a decimal ratio (0 - 1.0) or number of pixels. ESRGAN strength defaults to 0.75, and overlap defaults to 0.25 . ESRGAN is used to upscale the init prior to cutting it into tiles/pieces to run through img2img and then stitch back togeather.',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-embiggen_tiles',
|
||||
'--embiggen_tiles',
|
||||
nargs='+',
|
||||
default=None,
|
||||
type=int,
|
||||
help='If while doing Embiggen we are altering only parts of the image, takes a list of tiles by number to process and replace onto the image e.g. `1 3 5`, useful for redoing problematic spots from a prior Embiggen run',
|
||||
)
|
||||
# variants is going to be superseded by a generalized "prompt-morph" function
|
||||
# parser.add_argument('-v','--variants',type=int,help="in img2img mode, the first generated image will get passed back to img2img to generate the requested number of variants")
|
||||
parser.add_argument(
|
||||
'-x',
|
||||
'--skip_normalize',
|
||||
action='store_true',
|
||||
help='Skip subprompt weight normalization',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-A',
|
||||
'-m',
|
||||
'--sampler',
|
||||
dest='sampler_name',
|
||||
default=None,
|
||||
type=str,
|
||||
choices=SAMPLER_CHOICES,
|
||||
metavar='SAMPLER_NAME',
|
||||
help=f'Switch to a different sampler. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
|
||||
)
|
||||
parser.add_argument(
|
||||
'-t',
|
||||
'--log_tokenization',
|
||||
action='store_true',
|
||||
help='shows how the prompt is split into tokens'
|
||||
)
|
||||
parser.add_argument(
|
||||
'-v',
|
||||
'--variation_amount',
|
||||
default=0.0,
|
||||
type=float,
|
||||
help='If > 0, generates variations on the initial seed instead of random seeds per iteration. Must be between 0 and 1. Higher values will be more different.'
|
||||
)
|
||||
parser.add_argument(
|
||||
'-V',
|
||||
'--with_variations',
|
||||
default=None,
|
||||
type=str,
|
||||
help='list of variations to apply, in the format `seed:weight,seed:weight,...'
|
||||
)
|
||||
return parser
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
||||
Reference in New Issue
Block a user