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Merge branch 'a1111' into vae-fix-none

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Muhammad Rizqi Nur
2022-11-19 15:21:00 +07:00
parent 028b67b635 d9fd4525a5
commit 45dca0562e
14 changed files with 117 additions and 75 deletions
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6
modules/shared.py
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@@ -3,7 +3,6 @@ import datetime
import json
import os
import sys
from collections import OrderedDict
import time
import gradio as gr
@@ -15,7 +14,7 @@ import modules.memmon
import modules.sd_models
import modules.styles
import modules.devices as devices
from modules import sd_samplers, sd_models, localization, sd_vae, extensions
from modules import sd_samplers, sd_models, localization, sd_vae, extensions, script_loading
from modules.hypernetworks import hypernetwork
from modules.paths import models_path, script_path, sd_path
@@ -91,7 +90,7 @@ parser.add_argument("--tls-keyfile", type=str, help="Partially enables TLS, requ
parser.add_argument("--tls-certfile", type=str, help="Partially enables TLS, requires --tls-keyfile to fully function", default=None)
parser.add_argument("--server-name", type=str, help="Sets hostname of server", default=None)
extensions.preload_extensions(parser)
script_loading.preload_extensions(extensions.extensions_dir, parser)
cmd_opts = parser.parse_args()
@@ -336,6 +335,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Dropdown, lambda: {"choices": modules.sd_models.checkpoint_tiles()}, refresh=sd_models.list_models),
"sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
"sd_vae": OptionInfo("auto", "SD VAE", gr.Dropdown, lambda: {"choices": sd_vae.vae_list}, refresh=sd_vae.refresh_vae_list),
"sd_vae_as_default": OptionInfo(False, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),
"sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
"sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}),
"inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),