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sygil-webui/configs/webui/webui_streamlit.yaml
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KeyError: 'pipe'
2022-10-05 05:29:10 +01:00

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# This file is part of stable-diffusion-webui (https://github.com/sd-webui/stable-diffusion-webui/).
# Copyright 2022 sd-webui 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. It is automatically loaded if located at configs/webui/webui_streamlit.yaml.
# Any changes made here will be available automatically on the web app without having to stop it.
# You may add overrides in a file named "userconfig_streamlit.yaml" in this folder, which can contain any subset
# of the properties below.
general:
streamlit_telemetry: False
default_theme: dark
huggingface_token: ""
gpu: 0
outdir: outputs
default_model: "Stable Diffusion v1.4"
default_model_config: "configs/stable-diffusion/v1-inference.yaml"
default_model_path: "models/ldm/stable-diffusion-v1/model.ckpt"
use_sd_concepts_library: True
sd_concepts_library_folder: "models/custom/sd-concepts-library"
GFPGAN_dir: "./models/gfpgan"
GFPGAN_model: "GFPGANv1.4"
LDSR_dir: "./models/ldsr"
LDSR_model: "model"
RealESRGAN_dir: "./models/realesrgan"
RealESRGAN_model: "RealESRGAN_x4plus"
upscaling_method: "RealESRGAN"
outdir_txt2img: outputs/txt2img
outdir_img2img: outputs/img2img
gfpgan_cpu: False
esrgan_cpu: False
extra_models_cpu: False
extra_models_gpu: False
gfpgan_gpu: 0
esrgan_gpu: 0
save_metadata: True
save_format: "png"
skip_grid: False
skip_save: False
grid_format: "jpg:95"
n_rows: -1
no_verify_input: False
no_half: False
use_float16: False
precision: "autocast"
optimized: False
optimized_turbo: False
optimized_config: "optimizedSD/v1-inference.yaml"
enable_attention_slicing: False
enable_minimal_memory_usage: False
update_preview: True
update_preview_frequency: 10
txt2img:
prompt:
width:
value: 512
min_value: 64
max_value: 2048
step: 64
height:
value: 512
min_value: 64
max_value: 2048
step: 64
cfg_scale:
value: 7.5
min_value: 1.0
max_value: 30.0
step: 0.5
seed: ""
batch_count:
value: 1
batch_size:
value: 1
sampling_steps:
value: 30
min_value: 10
max_value: 250
step: 10
LDSR_config:
sampling_steps: 50
preDownScale: 1
postDownScale: 1
downsample_method: "Lanczos"
default_sampler: "k_euler"
separate_prompts: False
update_preview: True
update_preview_frequency: 10
normalize_prompt_weights: True
save_individual_images: True
save_grid: True
group_by_prompt: False
save_as_jpg: False
use_GFPGAN: False
use_RealESRGAN: False
use_LDSR: False
RealESRGAN_model: "RealESRGAN_x4plus"
use_upscaling: False
variant_amount:
value: 0.0
min_value: 0.0
max_value: 1.0
step: 0.01
variant_seed: ""
write_info_files: True
txt2vid:
default_model: "CompVis/stable-diffusion-v1-4"
custom_models_list: ["CompVis/stable-diffusion-v1-4"]
prompt:
width:
value: 512
min_value: 64
max_value: 2048
step: 64
height:
value: 512
min_value: 64
max_value: 2048
step: 64
cfg_scale:
value: 7.5
min_value: 1.0
max_value: 30.0
step: 0.5
batch_count:
value: 1
batch_size:
value: 1
sampling_steps:
value: 30
min_value: 10
max_value: 250
step: 10
num_inference_steps:
value: 200
min_value: 10
max_value: 500
step: 10
seed: ""
default_sampler: "k_euler"
scheduler_name: "klms"
separate_prompts: False
update_preview: True
update_preview_frequency: 10
dynamic_preview_frequency: True
normalize_prompt_weights: True
save_individual_images: True
save_video: True
group_by_prompt: True
write_info_files: True
do_loop: False
save_as_jpg: False
use_GFPGAN: False
use_RealESRGAN: False
RealESRGAN_model: "RealESRGAN_x4plus"
use_upscaling: False
variant_amount:
value: 0.0
min_value: 0.0
max_value: 1.0
step: 0.01
variant_seed: ""
beta_start:
value: 0.00085
min_value: 0.0001
max_value: 0.0300
step: 0.0001
format: "%.5f"
beta_end:
value: 0.012
min_value: 0.0001
max_value: 0.0300
step: 0.0001
format: "%.5f"
beta_scheduler_type: "scaled_linear"
max_frames: 100
LDSR_config:
sampling_steps: 50
preDownScale: 1
postDownScale: 1
downsample_method: "Lanczos"
img2img:
prompt:
sampler_name: "k_euler"
denoising_strength:
value: 0.75
min_value: 0.0
max_value: 1.0
step: 0.01
# 0: Keep masked area
# 1: Regenerate only masked area
mask_mode: 0
mask_restore: False
# 0: Just resize
# 1: Crop and resize
# 2: Resize and fill
resize_mode: 0
# Leave blank for random seed:
seed: ""
ddim_eta: 0.0
width:
value: 512
min_value: 64
max_value: 2048
step: 64
height:
value: 512
min_value: 64
max_value: 2048
step: 64
cfg_scale:
value: 7.5
min_value: 1.0
max_value: 30.0
step: 0.5
batch_count:
value: 1
batch_size:
value: 1
sampling_steps:
value: 30
min_value: 10
max_value: 250
step: 10
num_inference_steps:
value: 200
min_value: 10
max_value: 500
step: 10
find_noise_steps:
value: 100
min_value: 0
max_value: 500
step: 10
LDSR_config:
sampling_steps: 50
preDownScale: 1
postDownScale: 1
downsample_method: "Lanczos"
loopback: True
random_seed_loopback: True
separate_prompts: False
update_preview: True
update_preview_frequency: 10
normalize_prompt_weights: True
save_individual_images: True
save_grid: True
group_by_prompt: False
save_as_jpg: False
use_GFPGAN: False
use_RealESRGAN: False
RealESRGAN_model: "RealESRGAN_x4plus"
use_upscaling: False
variant_amount: 0.0
variant_seed: ""
write_info_files: True
img2txt:
batch_size: 420
blip_image_eval_size: 512
concepts_library:
concepts_per_page: 12
gfpgan:
strength: 100
textual_inversion:
pretrained_model_name_or_path: "models/diffusers/stable-diffusion-v1-4"
tokenizer_name: "models/clip-vit-large-patch14"
daisi_app:
running_on_daisi_io: False
model_manager:
models:
stable_diffusion:
model_name: "Stable Diffusion v1.4"
save_location: "./models/ldm/stable-diffusion-v1"
files:
model_ckpt:
file_name: "model.ckpt"
download_link: "https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media"
gfpgan:
model_name: "GFPGAN"
save_location: "./models/gfpgan"
files:
gfpgan_1_4:
file_name: "GFPGANv1.4.pth"
download_link: "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth"
resnet_50:
file_name: "detection_Resnet50_Final.pth"
save_location: "./gfpgan/weights"
download_link: "https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth"
parsing_parsenet:
file_name: "parsing_parsenet.pth"
save_location: "./gfpgan/weights"
download_link: "https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth"
realesrgan:
model_name: "RealESRGAN"
save_location: "./models/realesrgan"
files:
x4plus:
file_name: "RealESRGAN_x4plus.pth"
download_link: "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth"
x4plus_anime_6b:
file_name: "RealESRGAN_x4plus_anime_6B.pth"
download_link: "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth"
waifu_diffusion:
model_name: "Waifu Diffusion v1.2"
save_location: "./models/custom"
files:
waifu_diffusion:
file_name: "waifu-diffusion.ckpt"
download_link: "https://huggingface.co/crumb/pruned-waifu-diffusion/resolve/main/model-pruned.ckpt"
trinart_stable_diffusion:
model_name: "TrinArt Stable Diffusion v2"
save_location: "./models/custom"
files:
trinart:
file_name: "trinart.ckpt"
download_link: "https://huggingface.co/naclbit/trinart_stable_diffusion_v2/resolve/main/trinart2_step95000.ckpt"
stable_diffusion_concept_library:
model_name: "Stable Diffusion Concept Library"
save_location: "./models/custom/sd-concepts-library/"
files:
concept_library:
file_name: ""
download_link: "https://github.com/sd-webui/sd-concepts-library"
blip_model:
model_name: "Blip Model"
save_location: "./models/blip"
files:
blip:
file_name: "model__base_caption.pth"
download_link: "https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_base_caption.pth"
ldsr:
model_name: "Latent Diffusion Super Resolution (LDSR)"
save_location: "./models/ldsr"
files:
project_yaml:
file_name: "project.yaml"
download_link: "https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1"
ldsr_model:
file_name: "model.ckpt"
download_link: "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
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