mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-12-27 07:39:53 +08:00
74 lines
3.1 KiB
Python
74 lines
3.1 KiB
Python
from contextlib import closing
|
|
|
|
import modules.scripts
|
|
from modules import sd_samplers, processing
|
|
from modules.generation_parameters_copypaste import create_override_settings_dict
|
|
from modules.shared import opts, cmd_opts
|
|
import modules.shared as shared
|
|
from modules.ui import plaintext_to_html
|
|
import gradio as gr
|
|
|
|
|
|
def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, 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, denoising_strength: float, hr_scale: float, hr_upscaler: str, hr_second_pass_steps: int, hr_resize_x: int, hr_resize_y: int, hr_sampler_index: int, hr_prompt: str, hr_negative_prompt, override_settings_texts, request: gr.Request, *args):
|
|
override_settings = create_override_settings_dict(override_settings_texts)
|
|
|
|
p = processing.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_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,
|
|
seed_enable_extras=seed_enable_extras,
|
|
sampler_name=sd_samplers.samplers[sampler_index].name,
|
|
batch_size=batch_size,
|
|
n_iter=n_iter,
|
|
steps=steps,
|
|
cfg_scale=cfg_scale,
|
|
width=width,
|
|
height=height,
|
|
restore_faces=restore_faces,
|
|
tiling=tiling,
|
|
enable_hr=enable_hr,
|
|
denoising_strength=denoising_strength if enable_hr else None,
|
|
hr_scale=hr_scale,
|
|
hr_upscaler=hr_upscaler,
|
|
hr_second_pass_steps=hr_second_pass_steps,
|
|
hr_resize_x=hr_resize_x,
|
|
hr_resize_y=hr_resize_y,
|
|
hr_sampler_name=sd_samplers.samplers_for_img2img[hr_sampler_index - 1].name if hr_sampler_index != 0 else None,
|
|
hr_prompt=hr_prompt,
|
|
hr_negative_prompt=hr_negative_prompt,
|
|
override_settings=override_settings,
|
|
)
|
|
|
|
p.scripts = modules.scripts.scripts_txt2img
|
|
p.script_args = args
|
|
|
|
p.user = request.username
|
|
|
|
if cmd_opts.enable_console_prompts:
|
|
print(f"\ntxt2img: {prompt}", file=shared.progress_print_out)
|
|
|
|
with closing(p):
|
|
processed = modules.scripts.scripts_txt2img.run(p, *args)
|
|
|
|
if processed is None:
|
|
processed = processing.process_images(p)
|
|
|
|
shared.total_tqdm.clear()
|
|
|
|
generation_info_js = processed.js()
|
|
if opts.samples_log_stdout:
|
|
print(generation_info_js)
|
|
|
|
if opts.do_not_show_images:
|
|
processed.images = []
|
|
|
|
return processed.images, generation_info_js, plaintext_to_html(processed.info), plaintext_to_html(processed.comments)
|