import os from modules import shared, processing, scripts_manager from modules.generation_parameters_copypaste import create_override_settings_dict from modules.ui_common import plaintext_to_html from modules.paths import resolve_output_path debug = shared.log.trace if os.environ.get('SD_PROCESS_DEBUG', None) is not None else lambda *args, **kwargs: None debug('Trace: PROCESS') def txt2img(id_task, state, prompt, negative_prompt, prompt_styles, steps, sampler_index, hr_sampler_index, vae_type, tiling, hidiffusion, detailer_enabled, detailer_prompt, detailer_negative, detailer_steps, detailer_strength, detailer_resolution, n_iter, batch_size, guidance_name, guidance_scale, guidance_rescale, guidance_start, guidance_stop, cfg_scale, image_cfg_scale, diffusers_guidance_rescale, pag_scale, pag_adaptive, cfg_end, clip_skip, seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, height, width, enable_hr, denoising_strength, hr_scale, hr_resize_mode, hr_resize_context, hr_upscaler, hr_force, hr_second_pass_steps, hr_resize_x, hr_resize_y, refiner_steps, refiner_start, refiner_prompt, refiner_negative, hdr_mode, hdr_brightness, hdr_color, hdr_sharpen, hdr_clamp, hdr_boundary, hdr_threshold, hdr_maximize, hdr_max_center, hdr_max_boundary, hdr_color_picker, hdr_tint_ratio, override_settings_texts, *args): debug(f'txt2img: {id_task}') if shared.sd_model is None: shared.log.warning('Aborted: op=txt model not loaded') return [], '', '', 'Error: model not loaded' override_settings = create_override_settings_dict(override_settings_texts) if sampler_index is None: shared.log.warning('Sampler: invalid') sampler_index = 0 if hr_sampler_index is None: hr_sampler_index = sampler_index p = processing.StableDiffusionProcessingTxt2Img( sd_model=shared.sd_model, outpath_samples=resolve_output_path(shared.opts.outdir_samples, shared.opts.outdir_txt2img_samples), outpath_grids=resolve_output_path(shared.opts.outdir_grids, shared.opts.outdir_txt2img_grids), prompt=prompt, styles=prompt_styles, negative_prompt=negative_prompt, seed=seed, subseed=subseed, subseed_strength=subseed_strength, seed_resize_from_h=seed_resize_from_h, seed_resize_from_w=seed_resize_from_w, sampler_name = processing.get_sampler_name(sampler_index), hr_sampler_name = processing.get_sampler_name(hr_sampler_index), batch_size=batch_size, n_iter=n_iter, steps=steps, guidance_name=guidance_name, guidance_scale=guidance_scale, guidance_rescale=guidance_rescale, guidance_start=guidance_start, guidance_stop=guidance_stop, cfg_scale=cfg_scale, image_cfg_scale=image_cfg_scale, diffusers_guidance_rescale=diffusers_guidance_rescale, pag_scale=pag_scale, pag_adaptive=pag_adaptive, cfg_end=cfg_end, clip_skip=clip_skip, width=width, height=height, vae_type=vae_type, detailer_enabled=detailer_enabled, detailer_prompt=detailer_prompt, detailer_negative=detailer_negative, detailer_steps=detailer_steps, detailer_strength=detailer_strength, detailer_resolution=detailer_resolution, tiling=tiling, hidiffusion=hidiffusion, enable_hr=enable_hr, denoising_strength=denoising_strength, hr_scale=hr_scale, hr_resize_mode=hr_resize_mode, hr_resize_context=hr_resize_context, hr_upscaler=hr_upscaler, hr_force=hr_force, hr_second_pass_steps=hr_second_pass_steps, hr_resize_x=hr_resize_x, hr_resize_y=hr_resize_y, refiner_steps=refiner_steps, refiner_start=refiner_start, refiner_prompt=refiner_prompt, refiner_negative=refiner_negative, hdr_mode=hdr_mode, hdr_brightness=hdr_brightness, hdr_color=hdr_color, hdr_sharpen=hdr_sharpen, hdr_clamp=hdr_clamp, hdr_boundary=hdr_boundary, hdr_threshold=hdr_threshold, hdr_maximize=hdr_maximize, hdr_max_center=hdr_max_center, hdr_max_boundary=hdr_max_boundary, hdr_color_picker=hdr_color_picker, hdr_tint_ratio=hdr_tint_ratio, override_settings=override_settings, ) p.scripts = scripts_manager.scripts_txt2img p.script_args = args p.state = state processed: processing.Processed = scripts_manager.scripts_txt2img.run(p, *args) if processed is None: processed = processing.process_images(p) processed = scripts_manager.scripts_txt2img.after(p, processed, *args) p.close() if processed is None: return [], '', '', 'Error: processing failed' generation_info_js = processed.js() if processed is not None else '' if processed is None: return [], generation_info_js, '', 'Error: no images' return processed.images, generation_info_js, processed.info, plaintext_to_html(processed.comments)