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import copy |
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import math |
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import os |
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import random |
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import sys |
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import traceback |
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import shlex |
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import uuid |
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import modules.scripts as scripts |
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import gradio as gr |
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from modules import sd_samplers |
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from modules.processing import Processed, process_images |
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from PIL import Image |
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from modules.shared import opts, cmd_opts, state |
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def generate_gif_animation(image_frames, frame_duration=100, gif_name=None): |
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if gif_name is None: |
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gif_name = str(uuid.uuid4()) |
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destination_folder = "outputs/txt2img-images/gif_animations" |
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os.makedirs(destination_folder, exist_ok=True) |
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main_frame = image_frames.pop(0) |
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gif_filepath = f"{destination_folder}/{gif_name}.gif" |
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main_frame.save(gif_filepath, format="GIF", append_images=image_frames, |
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save_all=True, duration=frame_duration, loop=0) |
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return main_frame, gif_filepath |
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def process_string_tag(tag): |
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return tag |
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def process_int_tag(tag): |
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return int(tag) |
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def process_float_tag(tag): |
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return float(tag) |
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def process_boolean_tag(tag): |
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return True if (tag == "true") else False |
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prompt_tags = { |
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"sd_model": None, |
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"outpath_samples": process_string_tag, |
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"outpath_grids": process_string_tag, |
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"prompt_for_display": process_string_tag, |
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"prompt": process_string_tag, |
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"negative_prompt": process_string_tag, |
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"styles": process_string_tag, |
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"seed": process_int_tag, |
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"subseed_strength": process_float_tag, |
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"subseed": process_int_tag, |
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"seed_resize_from_h": process_int_tag, |
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"seed_resize_from_w": process_int_tag, |
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"sampler_index": process_int_tag, |
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"sampler_name": process_string_tag, |
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"batch_size": process_int_tag, |
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"n_iter": process_int_tag, |
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"steps": process_int_tag, |
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"cfg_scale": process_float_tag, |
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"width": process_int_tag, |
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"height": process_int_tag, |
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"restore_faces": process_boolean_tag, |
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"tiling": process_boolean_tag, |
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"do_not_save_samples": process_boolean_tag, |
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"do_not_save_grid": process_boolean_tag |
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} |
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def cmdargs(line): |
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args = shlex.split(line) |
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pos = 0 |
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res = {} |
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while pos < len(args): |
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arg = args[pos] |
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assert arg.startswith("--"), f'must start with "--": {arg}' |
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assert pos+1 < len(args), f'missing argument for command line option {arg}' |
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tag = arg[2:] |
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if tag == "prompt" or tag == "negative_prompt": |
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pos += 1 |
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prompt = args[pos] |
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pos += 1 |
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while pos < len(args) and not args[pos].startswith("--"): |
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prompt += " " |
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prompt += args[pos] |
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pos += 1 |
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res[tag] = prompt |
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continue |
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func = prompt_tags.get(tag, None) |
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assert func, f'unknown commandline option: {arg}' |
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val = args[pos+1] |
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if tag == "sampler_name": |
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val = sd_samplers.samplers_map.get(val.lower(), None) |
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res[tag] = func(val) |
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pos += 2 |
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return res |
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def load_prompt_file(file): |
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if file is None: |
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lines = [] |
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else: |
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lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")] |
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return None, "\n".join(lines), gr.update(lines=7) |
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class Script(scripts.Script): |
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def title(self): |
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return "Prompts from file or textbox with GIF generation" |
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def ui(self, is_img2img): |
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checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False, elem_id=self.elem_id("checkbox_iterate")) |
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checkbox_iterate_batch = gr.Checkbox(label="Use same random seed for all lines", value=False, elem_id=self.elem_id("checkbox_iterate_batch")) |
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frame_duration = gr.Number(label="Frame duration", value=100.0) |
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show_frames = gr.Checkbox(label="Show generated frames", value=True) |
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prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1, elem_id=self.elem_id("prompt_txt")) |
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file = gr.File(label="Upload prompt inputs", type='binary', elem_id=self.elem_id("file")) |
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file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt]) |
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prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt]) |
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return [checkbox_iterate, checkbox_iterate_batch, frame_duration, show_frames, prompt_txt] |
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def run(self, p, checkbox_iterate, checkbox_iterate_batch, frame_duration, show_frames, prompt_txt: str): |
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lines = [x.strip() for x in prompt_txt.splitlines()] |
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lines = [x for x in lines if len(x) > 0] |
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p.do_not_save_grid = True |
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job_count = 0 |
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jobs = [] |
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for line in lines: |
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if "--" in line: |
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try: |
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args = cmdargs(line) |
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except Exception: |
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print(f"Error parsing line {line} as commandline:", file=sys.stderr) |
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print(traceback.format_exc(), file=sys.stderr) |
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args = {"prompt": line} |
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else: |
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args = {"prompt": line} |
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job_count += args.get("n_iter", p.n_iter) |
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jobs.append(args) |
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print(f"Will process {len(lines)} lines in {job_count} jobs.") |
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if (checkbox_iterate or checkbox_iterate_batch) and p.seed == -1: |
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p.seed = int(random.randrange(4294967294)) |
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state.job_count = job_count |
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images = [] |
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all_prompts = [] |
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infotexts = [] |
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for n, args in enumerate(jobs): |
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state.job = f"{state.job_no + 1} out of {state.job_count}" |
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copy_p = copy.copy(p) |
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for k, v in args.items(): |
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setattr(copy_p, k, v) |
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proc = process_images(copy_p) |
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images += proc.images |
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if checkbox_iterate: |
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p.seed = p.seed + (p.batch_size * p.n_iter) |
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all_prompts += proc.all_prompts |
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infotexts += proc.infotexts |
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all_prompts.insert(0, all_prompts[0]) |
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infotexts.insert(0, infotexts[0]) |
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gif_image, gif_path = generate_gif_animation(images, frame_duration=int(frame_duration)) |
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output_images = [gif_image] |
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output_paths = [gif_path] |
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if show_frames: |
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output_images += images |
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output_paths += [img for img in images] |
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return Processed(p, output_paths, p.seed, "", all_prompts=all_prompts, infotexts=infotexts) |
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