stable-diffusion-webui/scripts/prompts_from_file.py

179 lines
5.7 KiB
Python

import copy
import random
import shlex
import modules.scripts as scripts
import gradio as gr
from modules import sd_samplers, errors, sd_models
from modules.processing import Processed, process_images
from modules.shared import state
def process_model_tag(tag):
info = sd_models.get_closet_checkpoint_match(tag)
assert info is not None, f'Unknown checkpoint: {tag}'
return info.name
def process_string_tag(tag):
return tag
def process_int_tag(tag):
return int(tag)
def process_float_tag(tag):
return float(tag)
def process_boolean_tag(tag):
return True if (tag == "true") else False
prompt_tags = {
"sd_model": process_model_tag,
"outpath_samples": process_string_tag,
"outpath_grids": process_string_tag,
"prompt_for_display": process_string_tag,
"prompt": process_string_tag,
"negative_prompt": process_string_tag,
"styles": process_string_tag,
"seed": process_int_tag,
"subseed_strength": process_float_tag,
"subseed": process_int_tag,
"seed_resize_from_h": process_int_tag,
"seed_resize_from_w": process_int_tag,
"sampler_index": process_int_tag,
"sampler_name": process_string_tag,
"batch_size": process_int_tag,
"n_iter": process_int_tag,
"steps": process_int_tag,
"cfg_scale": process_float_tag,
"width": process_int_tag,
"height": process_int_tag,
"restore_faces": process_boolean_tag,
"tiling": process_boolean_tag,
"do_not_save_samples": process_boolean_tag,
"do_not_save_grid": process_boolean_tag
}
def cmdargs(line):
args = shlex.split(line)
pos = 0
res = {}
while pos < len(args):
arg = args[pos]
assert arg.startswith("--"), f'must start with "--": {arg}'
assert pos+1 < len(args), f'missing argument for command line option {arg}'
tag = arg[2:]
if tag == "prompt" or tag == "negative_prompt":
pos += 1
prompt = args[pos]
pos += 1
while pos < len(args) and not args[pos].startswith("--"):
prompt += " "
prompt += args[pos]
pos += 1
res[tag] = prompt
continue
func = prompt_tags.get(tag, None)
assert func, f'unknown commandline option: {arg}'
val = args[pos+1]
if tag == "sampler_name":
val = sd_samplers.samplers_map.get(val.lower(), None)
res[tag] = func(val)
pos += 2
return res
def load_prompt_file(file):
if file is None:
return None, gr.update(), gr.update(lines=7)
else:
lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")]
return None, "\n".join(lines), gr.update(lines=7)
class Script(scripts.Script):
def title(self):
return "Prompts from file or textbox"
def ui(self, is_img2img):
checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False, elem_id=self.elem_id("checkbox_iterate"))
checkbox_iterate_batch = gr.Checkbox(label="Use same random seed for all lines", value=False, elem_id=self.elem_id("checkbox_iterate_batch"))
prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1, elem_id=self.elem_id("prompt_txt"))
file = gr.File(label="Upload prompt inputs", type='binary', elem_id=self.elem_id("file"))
file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt], show_progress=False)
# We start at one line. When the text changes, we jump to seven lines, or two lines if no \n.
# We don't shrink back to 1, because that causes the control to ignore [enter], and it may
# be unclear to the user that shift-enter is needed.
prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt], show_progress=False)
return [checkbox_iterate, checkbox_iterate_batch, prompt_txt]
def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_txt: str):
lines = [x for x in (x.strip() for x in prompt_txt.splitlines()) if x]
p.do_not_save_grid = True
job_count = 0
jobs = []
for line in lines:
if "--" in line:
try:
args = cmdargs(line)
except Exception:
errors.report(f"Error parsing line {line} as commandline", exc_info=True)
args = {"prompt": line}
else:
args = {"prompt": line}
job_count += args.get("n_iter", p.n_iter)
jobs.append(args)
print(f"Will process {len(lines)} lines in {job_count} jobs.")
if (checkbox_iterate or checkbox_iterate_batch) and p.seed == -1:
p.seed = int(random.randrange(4294967294))
state.job_count = job_count
images = []
all_prompts = []
infotexts = []
for args in jobs:
state.job = f"{state.job_no + 1} out of {state.job_count}"
copy_p = copy.copy(p)
for k, v in args.items():
if k == "sd_model":
copy_p.override_settings['sd_model_checkpoint'] = v
else:
setattr(copy_p, k, v)
proc = process_images(copy_p)
images += proc.images
if checkbox_iterate:
p.seed = p.seed + (p.batch_size * p.n_iter)
all_prompts += proc.all_prompts
infotexts += proc.infotexts
return Processed(p, images, p.seed, "", all_prompts=all_prompts, infotexts=infotexts)