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# This file is part of sygil-webui (https://github.com/Sygil-Dev/sygil-webui/).
# Copyright 2022 Sygil-Dev team.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# UI defaults configuration file. Is read automatically if located at configs/webui/webui.yaml, or specify path via --defaults.
txt2img:
prompt: fantasy detailed Portrait painting of lilianavess, dynamic posing, cute nose, bright expressive eyes, detailed pupils, perfect face, 5-digit perfect hands, thin waist, in the style of Konstantin Razumov, Franz Xavier Winterhalter, Alphonse Mucha, Luis Royo, Norman Rockwell
ddim_steps: 60
# Adding an int to toggles enables the corresponding feature.
# 0: Create prompt matrix (separate multiple prompts using |, and get all combinations of them)
# 1: Normalize Prompt Weights (ensure sum of weights add up to 1.0)
# 2: Save individual images
# 3: Save grid
# 4: Sort samples by prompt
# 5: Write sample info files
# 6: write sample info to log file
# 7: jpg samples
# 8: Filter NSFW content
# 9: Fix faces using GFPGAN
# 10: Upscale images using RealESRGAN
toggles: [1, 2, 3, 4, 5]
sampler_name: k_euler_a
ddim_eta: 0.0 # legacy name, applies to all algorithms.
n_iter: 1
batch_size: 1
cfg_scale: 8.5
# Leave blank for random seed:
seed:
height: 704
width: 512
# Textual inversion embeddings file path:
fp:
img2img:
prompt:
ddim_steps: 50
# Adding an int to toggles enables the corresponding feature.
# 0: Create prompt matrix (separate multiple prompts using |, and get all combinations of them)
# 1: Normalize Prompt Weights (ensure sum of weights add up to 1.0)
# 2: Loopback (use images from previous batch when creating next batch)
# 3: Random loopback seed
# 4: Save individual images
# 5: Save grid
# 6: Sort samples by prompt
# 7: Write sample info files
# 8: jpg samples
# 9: Color correction
# 10: Filter NSFW content
# 11: Fix faces using GFPGAN
# 12: Upscale images using Real-ESRGAN
toggles: [1, 4, 5, 6, 7]
sampler_name: k_euler_a
ddim_eta: 0.0
n_iter: 1
batch_size: 1
cfg_scale: 5.0
denoising_strength: 0.75
# 0: Keep masked area
# 1: Regenerate only masked area
mask_mode: 0
# 0: Just resize
# 1: Crop and resize
# 2: Resize and fill
resize_mode: 0
# Leave blank for random seed:
seed:
height: 512
width: 512
# Textual inversion embeddings file path:
fp:
gfpgan:
strength: 100
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