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Duplicate from user238921933/stable-diffusion-webui
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from modules.processing import StableDiffusionProcessingImg2Img
from modules.shared import opts, sd_model
import os
def get_webui_sd_pipeline(args, root, frame):
import re
assert args.prompt is not None
# Setup the pipeline
p = StableDiffusionProcessingImg2Img(
sd_model=sd_model,
outpath_samples = opts.outdir_samples or opts.outdir_img2img_samples,
#we'll setup the rest later
)
os.makedirs(args.outdir, exist_ok=True)
p.width, p.height = map(lambda x: x - x % 64, (args.W, args.H))
p.steps = args.steps
p.seed = args.seed
p.sampler_name = args.sampler
p.batch_size = args.n_batch
p.tiling = args.tiling
p.restore_faces = args.restore_faces
p.subseed = args.subseed
p.subseed_strength = args.subseed_strength
p.seed_resize_from_w = args.seed_resize_from_w
p.seed_resize_from_h = args.seed_resize_from_h
p.fill = args.fill
p.ddim_eta = args.ddim_eta
p.batch_size = args.n_samples
p.width = args.W
p.height = args.H
p.seed = args.seed
p.do_not_save_samples = not args.save_sample_per_step
p.sampler_name = args.sampler
p.mask_blur = args.mask_overlay_blur
p.extra_generation_params["Mask blur"] = args.mask_overlay_blur
p.n_iter = 1
p.steps = args.steps
if opts.img2img_fix_steps:
p.denoising_strength = 1 / (1 - args.strength + 1.0/args.steps) #see https://github.com/deforum-art/deforum-for-automatic1111-webui/issues/3
else:
p.denoising_strength = 1 - args.strength
p.cfg_scale = args.scale
p.image_cfg_scale = args.pix2pix_img_cfg_scale
p.outpath_samples = root.outpath_samples
return p