151 lines
6.4 KiB
Python
Executable File
151 lines
6.4 KiB
Python
Executable File
import json
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from contextlib import closing
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import modules.scripts
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from modules import processing, infotext_utils
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from modules.infotext_utils import create_override_settings_dict, parse_generation_parameters
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from modules.shared import opts
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import modules.shared as shared
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from modules.ui import plaintext_to_html
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from PIL import Image
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import gradio as gr
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from modules_forge import main_thread
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def txt2img_create_processing(id_task: str, request: gr.Request, prompt: str, negative_prompt: str, prompt_styles, n_iter: int, batch_size: int, cfg_scale: float, distilled_cfg_scale: float, height: int, width: int, enable_hr: bool, denoising_strength: float, hr_scale: float, hr_upscaler: str, hr_second_pass_steps: int, hr_resize_x: int, hr_resize_y: int, hr_checkpoint_name: str, hr_additional_modules: list, hr_sampler_name: str, hr_scheduler: str, hr_prompt: str, hr_negative_prompt, hr_cfg: float, hr_distilled_cfg: float, override_settings_texts, *args, force_enable_hr=False):
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override_settings = create_override_settings_dict(override_settings_texts)
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if force_enable_hr:
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enable_hr = True
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p = processing.StableDiffusionProcessingTxt2Img(
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outpath_samples=opts.outdir_samples or opts.outdir_txt2img_samples,
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outpath_grids=opts.outdir_grids or opts.outdir_txt2img_grids,
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prompt=prompt,
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styles=prompt_styles,
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negative_prompt=negative_prompt,
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batch_size=batch_size,
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n_iter=n_iter,
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cfg_scale=cfg_scale,
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distilled_cfg_scale=distilled_cfg_scale,
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width=width,
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height=height,
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enable_hr=enable_hr,
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denoising_strength=denoising_strength,
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hr_scale=hr_scale,
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hr_upscaler=hr_upscaler,
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hr_second_pass_steps=hr_second_pass_steps,
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hr_resize_x=hr_resize_x,
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hr_resize_y=hr_resize_y,
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hr_checkpoint_name=None if hr_checkpoint_name == 'Use same checkpoint' else hr_checkpoint_name,
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hr_additional_modules=hr_additional_modules,
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hr_sampler_name=None if hr_sampler_name == 'Use same sampler' else hr_sampler_name,
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hr_scheduler=None if hr_scheduler == 'Use same scheduler' else hr_scheduler,
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hr_prompt=hr_prompt,
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hr_negative_prompt=hr_negative_prompt,
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hr_cfg=hr_cfg,
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hr_distilled_cfg=hr_distilled_cfg,
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override_settings=override_settings,
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)
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p.scripts = modules.scripts.scripts_txt2img
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p.script_args = args
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p.user = request.username
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if shared.opts.enable_console_prompts:
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print(f"\ntxt2img: {prompt}", file=shared.progress_print_out)
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return p
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def txt2img_upscale_function(id_task: str, request: gr.Request, gallery, gallery_index, generation_info, *args):
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assert len(gallery) > 0, 'No image to upscale'
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if gallery_index < 0 or gallery_index >= len(gallery):
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return gallery, generation_info, f'Bad image index: {gallery_index}', ''
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geninfo = json.loads(generation_info)
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# catch situation where user tries to hires-fix the grid: probably a mistake, results can be bad aspect ratio - just don't do it
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first_image_index = geninfo.get('index_of_first_image', 0)
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# catch if user tries to upscale a control image, this function will fail later trying to get infotext that doesn't exist
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count_images = len(geninfo.get('infotexts')) # note: we have batch_size in geninfo, but not batch_count
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if len(gallery) > 1 and (gallery_index < first_image_index or gallery_index >= count_images):
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return gallery, generation_info, 'Unable to upscale grid or control images.', ''
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p = txt2img_create_processing(id_task, request, *args, force_enable_hr=True)
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p.batch_size = 1
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p.n_iter = 1
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# txt2img_upscale attribute that signifies this is called by txt2img_upscale
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p.txt2img_upscale = True
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image_info = gallery[gallery_index]
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p.firstpass_image = infotext_utils.image_from_url_text(image_info)
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parameters = parse_generation_parameters(geninfo.get('infotexts')[gallery_index], [])
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p.seed = parameters.get('Seed', -1)
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p.subseed = parameters.get('Variation seed', -1)
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# update processing width/height based on actual dimensions of source image
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p.width = gallery[gallery_index][0].size[0]
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p.height = gallery[gallery_index][0].size[1]
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p.extra_generation_params['Original Size'] = f'{args[8]}x{args[7]}'
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p.override_settings['save_images_before_highres_fix'] = False
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with closing(p):
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processed = modules.scripts.scripts_txt2img.run(p, *p.script_args)
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if processed is None:
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processed = processing.process_images(p)
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shared.total_tqdm.clear()
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insert = getattr(shared.opts, 'hires_button_gallery_insert', False)
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new_gallery = []
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for i, image in enumerate(gallery):
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if insert or i != gallery_index:
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image[0].already_saved_as = image[0].filename.rsplit('?', 1)[0]
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new_gallery.append(image)
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if i == gallery_index:
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new_gallery.extend(processed.images)
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new_index = gallery_index
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if insert:
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new_index += 1
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geninfo["infotexts"].insert(new_index, processed.info)
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else:
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geninfo["infotexts"][gallery_index] = processed.info
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return new_gallery, json.dumps(geninfo), plaintext_to_html(processed.info), plaintext_to_html(processed.comments, classname="comments")
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def txt2img_function(id_task: str, request: gr.Request, *args):
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p = txt2img_create_processing(id_task, request, *args)
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with closing(p):
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processed = modules.scripts.scripts_txt2img.run(p, *p.script_args)
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if processed is None:
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processed = processing.process_images(p)
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shared.total_tqdm.clear()
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generation_info_js = processed.js()
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if opts.samples_log_stdout:
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print(generation_info_js)
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if opts.do_not_show_images:
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processed.images = []
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return processed.images + processed.extra_images, generation_info_js, plaintext_to_html(processed.info), plaintext_to_html(processed.comments, classname="comments")
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def txt2img_upscale(id_task: str, request: gr.Request, gallery, gallery_index, generation_info, *args):
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return main_thread.run_and_wait_result(txt2img_upscale_function, id_task, request, gallery, gallery_index, generation_info, *args)
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def txt2img(id_task: str, request: gr.Request, *args):
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return main_thread.run_and_wait_result(txt2img_function, id_task, request, *args)
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