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do not load wait for shared.sd_model to load at startup

This commit is contained in:
AUTOMATIC 2023-05-02 09:08:00 +03:00
parent 696c338ee2
commit b1717c0a48
4 changed files with 76 additions and 35 deletions
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54
modules/sd_models.py
View File

@ -2,6 +2,8 @@ import collections
import os.path
import sys
import gc
import threading
import torch
import re
import safetensors.torch
@ -404,13 +406,39 @@ def repair_config(sd_config):
sd1_clip_weight = 'cond_stage_model.transformer.text_model.embeddings.token_embedding.weight'
sd2_clip_weight = 'cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight'
def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_to_load_state_dict=None):
class SdModelData:
def __init__(self):
self.sd_model = None
self.lock = threading.Lock()
def get_sd_model(self):
if self.sd_model is None:
with self.lock:
try:
load_model()
except Exception as e:
errors.display(e, "loading stable diffusion model")
print("", file=sys.stderr)
print("Stable diffusion model failed to load", file=sys.stderr)
self.sd_model = None
return self.sd_model
def set_sd_model(self, v):
self.sd_model = v
model_data = SdModelData()
def load_model(checkpoint_info=None, already_loaded_state_dict=None):
from modules import lowvram, sd_hijack
checkpoint_info = checkpoint_info or select_checkpoint()
if shared.sd_model:
sd_hijack.model_hijack.undo_hijack(shared.sd_model)
shared.sd_model = None
if model_data.sd_model:
sd_hijack.model_hijack.undo_hijack(model_data.sd_model)
model_data.sd_model = None
gc.collect()
devices.torch_gc()
@ -464,7 +492,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
timer.record("hijack")
sd_model.eval()
shared.sd_model = sd_model
model_data.sd_model = sd_model
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True) # Reload embeddings after model load as they may or may not fit the model
@ -484,7 +512,7 @@ def reload_model_weights(sd_model=None, info=None):
checkpoint_info = info or select_checkpoint()
if not sd_model:
sd_model = shared.sd_model
sd_model = model_data.sd_model
if sd_model is None: # previous model load failed
current_checkpoint_info = None
@ -512,7 +540,7 @@ def reload_model_weights(sd_model=None, info=None):
del sd_model
checkpoints_loaded.clear()
load_model(checkpoint_info, already_loaded_state_dict=state_dict)
return shared.sd_model
return model_data.sd_model
try:
load_model_weights(sd_model, checkpoint_info, state_dict, timer)
@ -535,17 +563,15 @@ def reload_model_weights(sd_model=None, info=None):
return sd_model
def unload_model_weights(sd_model=None, info=None):
from modules import lowvram, devices, sd_hijack
timer = Timer()
if shared.sd_model:
# shared.sd_model.cond_stage_model.to(devices.cpu)
# shared.sd_model.first_stage_model.to(devices.cpu)
shared.sd_model.to(devices.cpu)
sd_hijack.model_hijack.undo_hijack(shared.sd_model)
shared.sd_model = None
if model_data.sd_model:
model_data.sd_model.to(devices.cpu)
sd_hijack.model_hijack.undo_hijack(model_data.sd_model)
model_data.sd_model = None
sd_model = None
gc.collect()
devices.torch_gc()

31
modules/shared.py
View File

@ -16,6 +16,7 @@ import modules.styles
import modules.devices as devices
from modules import localization, script_loading, errors, ui_components, shared_items, cmd_args
from modules.paths_internal import models_path, script_path, data_path, sd_configs_path, sd_default_config, sd_model_file, default_sd_model_file, extensions_dir, extensions_builtin_dir
from ldm.models.diffusion.ddpm import LatentDiffusion
demo = None
@ -600,13 +601,37 @@ class Options:
return value
opts = Options()
if os.path.exists(config_filename):
opts.load(config_filename)
class Shared(sys.modules[__name__].__class__):
"""
this class is here to provide sd_model field as a property, so that it can be created and loaded on demand rather than
at program startup.
"""
sd_model_val = None
@property
def sd_model(self):
import modules.sd_models
return modules.sd_models.model_data.get_sd_model()
@sd_model.setter
def sd_model(self, value):
import modules.sd_models
modules.sd_models.model_data.set_sd_model(value)
sd_model: LatentDiffusion = None # this var is here just for IDE's type checking; it cannot be accessed because the class field above will be accessed instead
sys.modules[__name__].__class__ = Shared
settings_components = None
"""assinged from ui.py, a mapping on setting anmes to gradio components repsponsible for those settings"""
"""assinged from ui.py, a mapping on setting names to gradio components repsponsible for those settings"""
latent_upscale_default_mode = "Latent"
latent_upscale_modes = {
@ -620,8 +645,6 @@ latent_upscale_modes = {
sd_upscalers = []
sd_model = None
clip_model = None
progress_print_out = sys.stdout

10
modules/ui.py
View File

@ -828,7 +828,7 @@ def create_ui():
with FormGroup():
with FormRow():
cfg_scale = gr.Slider(minimum=1.0, maximum=30.0, step=0.5, label='CFG Scale', value=7.0, elem_id="img2img_cfg_scale")
image_cfg_scale = gr.Slider(minimum=0, maximum=3.0, step=0.05, label='Image CFG Scale', value=1.5, elem_id="img2img_image_cfg_scale", visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit")
image_cfg_scale = gr.Slider(minimum=0, maximum=3.0, step=0.05, label='Image CFG Scale', value=1.5, elem_id="img2img_image_cfg_scale", visible=False)
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.75, elem_id="img2img_denoising_strength")
elif category == "seed":
@ -1693,11 +1693,9 @@ def create_ui():
show_progress=info.refresh is not None,
)
text_settings.change(
fn=lambda: gr.update(visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit"),
inputs=[],
outputs=[image_cfg_scale],
)
update_image_cfg_scale_visibility = lambda: gr.update(visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit")
text_settings.change(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
demo.load(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
button_set_checkpoint = gr.Button('Change checkpoint', elem_id='change_checkpoint', visible=False)
button_set_checkpoint.click(

16
webui.py
View File

@ -6,6 +6,8 @@ import signal
import re
import warnings
import json
from threading import Thread
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.middleware.gzip import GZipMiddleware
@ -191,18 +193,10 @@ def initialize():
modules.textual_inversion.textual_inversion.list_textual_inversion_templates()
startup_timer.record("refresh textual inversion templates")
try:
modules.sd_models.load_model()
except Exception as e:
errors.display(e, "loading stable diffusion model")
print("", file=sys.stderr)
print("Stable diffusion model failed to load, exiting", file=sys.stderr)
exit(1)
startup_timer.record("load SD checkpoint")
# load model in parallel to other startup stuff
Thread(target=lambda: shared.sd_model).start()
shared.opts.data["sd_model_checkpoint"] = shared.sd_model.sd_checkpoint_info.title
shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))
shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()), call=False)
shared.opts.onchange("sd_vae", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
shared.opts.onchange("sd_vae_as_default", wrap_queued_call(lambda: modules.sd_vae.reload_vae_weights()), call=False)
shared.opts.onchange("temp_dir", ui_tempdir.on_tmpdir_changed)