stable-diffusion-webui/modules/txt2img.py

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import modules.scripts
from modules.processing import StableDiffusionProcessing, Processed, StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
from modules.shared import opts, cmd_opts
import modules.shared as shared
import modules.processing as processing
from modules.ui import plaintext_to_html
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def txt2img(prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, steps: int, sampler_index: int,
restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, seed: int, subseed: int,
subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool,
height: int, width: int, enable_hr: bool, scale_latent: bool, denoising_strength: float,
aesthetic_lr=0,
aesthetic_weight=0, aesthetic_steps=0,
aesthetic_imgs=None,
aesthetic_slerp=False,
aesthetic_imgs_text="",
aesthetic_slerp_angle=0.15,
aesthetic_text_negative=False,
*args):
p = StableDiffusionProcessingTxt2Img(
sd_model=shared.sd_model,
outpath_samples=opts.outdir_samples or opts.outdir_txt2img_samples,
outpath_grids=opts.outdir_grids or opts.outdir_txt2img_grids,
prompt=prompt,
styles=[prompt_style, prompt_style2],
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,
seed_enable_extras=seed_enable_extras,
sampler_index=sampler_index,
batch_size=batch_size,
n_iter=n_iter,
steps=steps,
cfg_scale=cfg_scale,
width=width,
height=height,
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restore_faces=restore_faces,
tiling=tiling,
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enable_hr=enable_hr,
scale_latent=scale_latent if enable_hr else None,
denoising_strength=denoising_strength if enable_hr else None,
)
if cmd_opts.enable_console_prompts:
print(f"\ntxt2img: {prompt}", file=shared.progress_print_out)
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processed = modules.scripts.scripts_txt2img.run(p, *args)
if processed is None:
processed = process_images(p, aesthetic_lr, aesthetic_weight, aesthetic_steps, aesthetic_imgs, aesthetic_slerp,aesthetic_imgs_text,
aesthetic_slerp_angle,
aesthetic_text_negative)
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shared.total_tqdm.clear()
generation_info_js = processed.js()
if opts.samples_log_stdout:
print(generation_info_js)
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if opts.do_not_show_images:
processed.images = []
return processed.images, generation_info_js, plaintext_to_html(processed.info)