File size: 5,321 Bytes
f555b43
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
import copy
import random
import shlex

import modules.scripts as scripts
import gradio as gr

from modules import sd_samplers, errors
from modules.processing import Processed, process_images
from modules.shared import state


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": None,
    "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():
                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)