Remove a bunch of unused/vestigial code

As found by Vulture and some eyes
This commit is contained in:
Aarni Koskela 2023-06-05 22:20:29 +03:00
parent 0895c2369c
commit ba70a220e3
7 changed files with 0 additions and 89 deletions

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@ -32,13 +32,6 @@ import piexif
import piexif.helper
def upscaler_to_index(name: str):
try:
return [x.name.lower() for x in shared.sd_upscalers].index(name.lower())
except Exception as e:
raise HTTPException(status_code=400, detail=f"Invalid upscaler, needs to be one of these: {' , '.join([x.name for x in shared.sd_upscalers])}") from e
def script_name_to_index(name, scripts):
try:
return [script.title().lower() for script in scripts].index(name.lower())

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@ -274,10 +274,6 @@ class PromptStyleItem(BaseModel):
prompt: Optional[str] = Field(title="Prompt")
negative_prompt: Optional[str] = Field(title="Negative Prompt")
class ArtistItem(BaseModel):
name: str = Field(title="Name")
score: float = Field(title="Score")
category: str = Field(title="Category")
class EmbeddingItem(BaseModel):
step: Optional[int] = Field(title="Step", description="The number of steps that were used to train this embedding, if available")

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@ -15,7 +15,6 @@ model_dir = "Codeformer"
model_path = os.path.join(models_path, model_dir)
model_url = 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth'
have_codeformer = False
codeformer = None
@ -125,9 +124,6 @@ def setup_model(dirname):
return restored_img
global have_codeformer
have_codeformer = True
global codeformer
codeformer = FaceRestorerCodeFormer(dirname)
shared.face_restorers.append(codeformer)

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@ -15,13 +15,6 @@ def has_mps() -> bool:
else:
return mac_specific.has_mps
def extract_device_id(args, name):
for x in range(len(args)):
if name in args[x]:
return args[x + 1]
return None
def get_cuda_device_string():
from modules import shared

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@ -174,31 +174,6 @@ def send_image_and_dimensions(x):
return img, w, h
def find_hypernetwork_key(hypernet_name, hypernet_hash=None):
"""Determines the config parameter name to use for the hypernet based on the parameters in the infotext.
Example: an infotext provides "Hypernet: ke-ta" and "Hypernet hash: 1234abcd". For the "Hypernet" config
parameter this means there should be an entry that looks like "ke-ta-10000(1234abcd)" to set it to.
If the infotext has no hash, then a hypernet with the same name will be selected instead.
"""
hypernet_name = hypernet_name.lower()
if hypernet_hash is not None:
# Try to match the hash in the name
for hypernet_key in shared.hypernetworks.keys():
result = re_hypernet_hash.search(hypernet_key)
if result is not None and result[1] == hypernet_hash:
return hypernet_key
else:
# Fall back to a hypernet with the same name
for hypernet_key in shared.hypernetworks.keys():
if hypernet_key.lower().startswith(hypernet_name):
return hypernet_key
return None
def restore_old_hires_fix_params(res):
"""for infotexts that specify old First pass size parameter, convert it into
width, height, and hr scale"""
@ -329,10 +304,6 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
return res
settings_map = {}
infotext_to_setting_name_mapping = [
('Clip skip', 'CLIP_stop_at_last_layers', ),
('Conditional mask weight', 'inpainting_mask_weight'),

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@ -353,17 +353,6 @@ def load_hypernetworks(names, multipliers=None):
shared.loaded_hypernetworks.append(hypernetwork)
def find_closest_hypernetwork_name(search: str):
if not search:
return None
search = search.lower()
applicable = [name for name in shared.hypernetworks if search in name.lower()]
if not applicable:
return None
applicable = sorted(applicable, key=lambda name: len(name))
return applicable[0]
def apply_single_hypernetwork(hypernetwork, context_k, context_v, layer=None):
hypernetwork_layers = (hypernetwork.layers if hypernetwork is not None else {}).get(context_k.shape[2], None)
@ -446,18 +435,6 @@ def statistics(data):
return total_information, recent_information
def report_statistics(loss_info:dict):
keys = sorted(loss_info.keys(), key=lambda x: sum(loss_info[x]) / len(loss_info[x]))
for key in keys:
try:
print("Loss statistics for file " + key)
info, recent = statistics(list(loss_info[key]))
print(info)
print(recent)
except Exception as e:
print(e)
def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False, dropout_structure=None):
# Remove illegal characters from name.
name = "".join( x for x in name if (x.isalnum() or x in "._- "))
@ -770,7 +747,6 @@ Last saved image: {html.escape(last_saved_image)}<br/>
pbar.leave = False
pbar.close()
hypernetwork.eval()
#report_statistics(loss_dict)
sd_hijack_checkpoint.remove()

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@ -38,17 +38,3 @@ for d, must_exist, what, options in path_dirs:
else:
sys.path.append(d)
paths[what] = d
class Prioritize:
def __init__(self, name):
self.name = name
self.path = None
def __enter__(self):
self.path = sys.path.copy()
sys.path = [paths[self.name]] + sys.path
def __exit__(self, exc_type, exc_val, exc_tb):
sys.path = self.path
self.path = None