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-rw-r--r--modules/images.py8
-rw-r--r--modules/modelloader.py3
-rw-r--r--modules/sd_disable_initialization.py17
-rw-r--r--modules/sd_models.py6
-rw-r--r--modules/ui_extra_networks.py2
5 files changed, 24 insertions, 12 deletions
diff --git a/modules/images.py b/modules/images.py
index 4bdbd730..c2ca8849 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -16,6 +16,7 @@ from PIL import Image, ImageFont, ImageDraw, PngImagePlugin
from fonts.ttf import Roboto
import string
import json
+import hashlib
from modules import sd_samplers, shared, script_callbacks
from modules.shared import opts, cmd_opts
@@ -198,7 +199,7 @@ def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0):
pad_top = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2
- result = Image.new("RGB", (im.width + pad_left + margin * (rows-1), im.height + pad_top + margin * (cols-1)), "white")
+ result = Image.new("RGB", (im.width + pad_left + margin * (cols-1), im.height + pad_top + margin * (rows-1)), "white")
for row in range(rows):
for col in range(cols):
@@ -222,7 +223,7 @@ def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0):
return result
-def draw_prompt_matrix(im, width, height, all_prompts):
+def draw_prompt_matrix(im, width, height, all_prompts, margin=0):
prompts = all_prompts[1:]
boundary = math.ceil(len(prompts) / 2)
@@ -232,7 +233,7 @@ def draw_prompt_matrix(im, width, height, all_prompts):
hor_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_horiz)] for pos in range(1 << len(prompts_horiz))]
ver_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_vert)] for pos in range(1 << len(prompts_vert))]
- return draw_grid_annotations(im, width, height, hor_texts, ver_texts)
+ return draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin)
def resize_image(resize_mode, im, width, height, upscaler_name=None):
@@ -343,6 +344,7 @@ class FilenameGenerator:
'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
'datetime': lambda self, *args: self.datetime(*args), # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
+ 'prompt_hash': lambda self: hashlib.sha256(self.prompt.encode()).hexdigest()[0:8],
'prompt': lambda self: sanitize_filename_part(self.prompt),
'prompt_no_styles': lambda self: self.prompt_no_style(),
'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
diff --git a/modules/modelloader.py b/modules/modelloader.py
index e9aa514e..fc3f6249 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -45,6 +45,9 @@ def load_models(model_path: str, model_url: str = None, command_path: str = None
full_path = file
if os.path.isdir(full_path):
continue
+ if os.path.islink(full_path) and not os.path.exists(full_path):
+ print(f"Skipping broken symlink: {full_path}")
+ continue
if ext_blacklist is not None and any([full_path.endswith(x) for x in ext_blacklist]):
continue
if len(ext_filter) != 0:
diff --git a/modules/sd_disable_initialization.py b/modules/sd_disable_initialization.py
index e90aa9fe..c4a09d15 100644
--- a/modules/sd_disable_initialization.py
+++ b/modules/sd_disable_initialization.py
@@ -20,8 +20,9 @@ class DisableInitialization:
```
"""
- def __init__(self):
+ def __init__(self, disable_clip=True):
self.replaced = []
+ self.disable_clip = disable_clip
def replace(self, obj, field, func):
original = getattr(obj, field, None)
@@ -75,12 +76,14 @@ class DisableInitialization:
self.replace(torch.nn.init, 'kaiming_uniform_', do_nothing)
self.replace(torch.nn.init, '_no_grad_normal_', do_nothing)
self.replace(torch.nn.init, '_no_grad_uniform_', do_nothing)
- self.create_model_and_transforms = self.replace(open_clip, 'create_model_and_transforms', create_model_and_transforms_without_pretrained)
- self.CLIPTextModel_from_pretrained = self.replace(ldm.modules.encoders.modules.CLIPTextModel, 'from_pretrained', CLIPTextModel_from_pretrained)
- self.transformers_modeling_utils_load_pretrained_model = self.replace(transformers.modeling_utils.PreTrainedModel, '_load_pretrained_model', transformers_modeling_utils_load_pretrained_model)
- self.transformers_tokenization_utils_base_cached_file = self.replace(transformers.tokenization_utils_base, 'cached_file', transformers_tokenization_utils_base_cached_file)
- self.transformers_configuration_utils_cached_file = self.replace(transformers.configuration_utils, 'cached_file', transformers_configuration_utils_cached_file)
- self.transformers_utils_hub_get_from_cache = self.replace(transformers.utils.hub, 'get_from_cache', transformers_utils_hub_get_from_cache)
+
+ if self.disable_clip:
+ self.create_model_and_transforms = self.replace(open_clip, 'create_model_and_transforms', create_model_and_transforms_without_pretrained)
+ self.CLIPTextModel_from_pretrained = self.replace(ldm.modules.encoders.modules.CLIPTextModel, 'from_pretrained', CLIPTextModel_from_pretrained)
+ self.transformers_modeling_utils_load_pretrained_model = self.replace(transformers.modeling_utils.PreTrainedModel, '_load_pretrained_model', transformers_modeling_utils_load_pretrained_model)
+ self.transformers_tokenization_utils_base_cached_file = self.replace(transformers.tokenization_utils_base, 'cached_file', transformers_tokenization_utils_base_cached_file)
+ self.transformers_configuration_utils_cached_file = self.replace(transformers.configuration_utils, 'cached_file', transformers_configuration_utils_cached_file)
+ self.transformers_utils_hub_get_from_cache = self.replace(transformers.utils.hub, 'get_from_cache', transformers_utils_hub_get_from_cache)
def __exit__(self, exc_type, exc_val, exc_tb):
for obj, field, original in self.replaced:
diff --git a/modules/sd_models.py b/modules/sd_models.py
index af1731e5..d847d358 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -354,6 +354,9 @@ def repair_config(sd_config):
sd_config.model.params.unet_config.params.use_fp16 = True
+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):
from modules import lowvram, sd_hijack
checkpoint_info = checkpoint_info or select_checkpoint()
@@ -374,6 +377,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
checkpoint_config = sd_models_config.find_checkpoint_config(state_dict, checkpoint_info)
+ clip_is_included_into_sd = sd1_clip_weight in state_dict or sd2_clip_weight in state_dict
timer.record("find config")
@@ -386,7 +390,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
sd_model = None
try:
- with sd_disable_initialization.DisableInitialization():
+ with sd_disable_initialization.DisableInitialization(disable_clip=clip_is_included_into_sd):
sd_model = instantiate_from_config(sd_config.model)
except Exception as e:
pass
diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py
index 95b30f4a..90abec0a 100644
--- a/modules/ui_extra_networks.py
+++ b/modules/ui_extra_networks.py
@@ -26,7 +26,7 @@ def add_pages_to_demo(app):
def fetch_file(filename: str = ""):
from starlette.responses import FileResponse
- if not any([Path(x).resolve() in Path(filename).resolve().parents for x in allowed_dirs]):
+ if not any([Path(x).absolute() in Path(filename).absolute().parents for x in allowed_dirs]):
raise ValueError(f"File cannot be fetched: {filename}. Must be in one of directories registered by extra pages.")
ext = os.path.splitext(filename)[1].lower()