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feat: support download of huggingface files from a mirror website (#2637)

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* fix: load image number from preset (#2611)

* fix: add default_image_number to preset handling

* fix: use minimum image number of preset and config to prevent UI overflow

* fix: use correct base dimensions for outpaint mask padding (#2612)

* fix: add Civitai compatibility for LoRAs in a1111 metadata scheme by switching schema (#2615)

* feat: update sha256 generation functions

https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7/modules/hashes.py

* feat: add compatibility for LoRAs in a1111 metadata scheme

* feat: add backwards compatibility

* refactor: extract remove_special_loras

* fix: correctly apply LoRA weight for legacy schema

* docs: bump version number to 2.3.1, add changelog (#2616)

* feat:support download huggingface files from a  mirror site

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
This commit is contained in:
delta_lt_0
2024-04-06 15:25:19 +02:00
committed by GitHub
co-authored by Manuel Schmid
parent 978267f461
commit 5ada070d88
11 changed files with 101 additions and 26 deletions
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modules/meta_parser.py
+45 -16
View File
@@ -1,5 +1,4 @@
import json
import os
import re
from abc import ABC, abstractmethod
from pathlib import Path
@@ -12,7 +11,7 @@ import modules.config
import modules.sdxl_styles
from modules.flags import MetadataScheme, Performance, Steps
from modules.flags import SAMPLERS, CIVITAI_NO_KARRAS
from modules.util import quote, unquote, extract_styles_from_prompt, is_json, get_file_from_folder_list, calculate_sha256
from modules.util import quote, unquote, extract_styles_from_prompt, is_json, get_file_from_folder_list, sha256
re_param_code = r'\s*(\w[\w \-/]+):\s*("(?:\\.|[^\\"])+"|[^,]*)(?:,|$)'
re_param = re.compile(re_param_code)
@@ -27,8 +26,9 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
loaded_parameter_dict = json.loads(raw_metadata)
assert isinstance(loaded_parameter_dict, dict)
results = [len(loaded_parameter_dict) > 0, 1]
results = [len(loaded_parameter_dict) > 0]
get_image_number('image_number', 'Image Number', loaded_parameter_dict, results)
get_str('prompt', 'Prompt', loaded_parameter_dict, results)
get_str('negative_prompt', 'Negative Prompt', loaded_parameter_dict, results)
get_list('styles', 'Styles', loaded_parameter_dict, results)
@@ -92,13 +92,25 @@ def get_float(key: str, fallback: str | None, source_dict: dict, results: list,
results.append(gr.update())
def get_image_number(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
try:
h = source_dict.get(key, source_dict.get(fallback, default))
assert h is not None
h = int(h)
h = min(h, modules.config.default_max_image_number)
results.append(h)
except:
results.append(1)
def get_steps(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
try:
h = source_dict.get(key, source_dict.get(fallback, default))
assert h is not None
h = int(h)
# if not in steps or in steps and performance is not the same
if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ', '_').casefold():
if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ',
'_').casefold():
results.append(h)
return
results.append(-1)
@@ -192,7 +204,8 @@ def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
def get_sha256(filepath):
global hash_cache
if filepath not in hash_cache:
hash_cache[filepath] = calculate_sha256(filepath)
# is_safetensors = os.path.splitext(filepath)[1].lower() == '.safetensors'
hash_cache[filepath] = sha256(filepath)
return hash_cache[filepath]
@@ -219,8 +232,9 @@ def parse_meta_from_preset(preset_content):
height = height[:height.index(" ")]
preset_prepared[meta_key] = (width, height)
else:
preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[settings_key] is not None else getattr(modules.config, settings_key)
preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[
settings_key] is not None else getattr(modules.config, settings_key)
if settings_key == "default_styles" or settings_key == "default_aspect_ratio":
preset_prepared[meta_key] = str(preset_prepared[meta_key])
@@ -276,6 +290,12 @@ class MetadataParser(ABC):
lora_hash = get_sha256(lora_path)
self.loras.append((Path(lora_name).stem, lora_weight, lora_hash))
@staticmethod
def remove_special_loras(lora_filenames):
for lora_to_remove in modules.config.loras_metadata_remove:
if lora_to_remove in lora_filenames:
lora_filenames.remove(lora_to_remove)
class A1111MetadataParser(MetadataParser):
def get_scheme(self) -> MetadataScheme:
@@ -385,12 +405,19 @@ class A1111MetadataParser(MetadataParser):
data[key] = filename
break
if 'lora_hashes' in data and data['lora_hashes'] != '':
lora_data = ''
if 'lora_weights' in data and data['lora_weights'] != '':
lora_data = data['lora_weights']
elif 'lora_hashes' in data and data['lora_hashes'] != '' and data['lora_hashes'].split(', ')[0].count(':') == 2:
lora_data = data['lora_hashes']
if lora_data != '':
lora_filenames = modules.config.lora_filenames.copy()
if modules.config.sdxl_lcm_lora in lora_filenames:
lora_filenames.remove(modules.config.sdxl_lcm_lora)
for li, lora in enumerate(data['lora_hashes'].split(', ')):
lora_name, lora_hash, lora_weight = lora.split(': ')
self.remove_special_loras(lora_filenames)
for li, lora in enumerate(lora_data.split(', ')):
lora_split = lora.split(': ')
lora_name = lora_split[0]
lora_weight = lora_split[2] if len(lora_split) == 3 else lora_split[1]
for filename in lora_filenames:
path = Path(filename)
if lora_name == path.stem:
@@ -441,11 +468,15 @@ class A1111MetadataParser(MetadataParser):
if len(self.loras) > 0:
lora_hashes = []
lora_weights = []
for index, (lora_name, lora_weight, lora_hash) in enumerate(self.loras):
# workaround for Fooocus not knowing LoRA name in LoRA metadata
lora_hashes.append(f'{lora_name}: {lora_hash}: {lora_weight}')
lora_hashes.append(f'{lora_name}: {lora_hash}')
lora_weights.append(f'{lora_name}: {lora_weight}')
lora_hashes_string = ', '.join(lora_hashes)
lora_weights_string = ', '.join(lora_weights)
generation_params[self.fooocus_to_a1111['lora_hashes']] = lora_hashes_string
generation_params[self.fooocus_to_a1111['lora_weights']] = lora_weights_string
generation_params[self.fooocus_to_a1111['version']] = data['version']
@@ -468,9 +499,7 @@ class FooocusMetadataParser(MetadataParser):
def parse_json(self, metadata: dict) -> dict:
model_filenames = modules.config.model_filenames.copy()
lora_filenames = modules.config.lora_filenames.copy()
if modules.config.sdxl_lcm_lora in lora_filenames:
lora_filenames.remove(modules.config.sdxl_lcm_lora)
self.remove_special_loras(lora_filenames)
for key, value in metadata.items():
if value in ['', 'None']:
continue