Foreign-Mirrors/Fooocus
1
0
Fork 0
mirror of https://github.com/lllyasviel/Fooocus.git synced 2026-08-16 13:13:16 +02:00
Code Issues Packages Projects Releases Wiki Activity

Sync branch 'mashb1t_main' with develop_upstream

Browse Source
This commit is contained in:
Manuel Schmid
2024-07-14 20:28:38 +02:00
parent 34f67c01a8 5a71495822
commit f2a21900c6
40 changed files with 2815 additions and 904 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/flags.py
+23 -5
View File
@@ -8,9 +8,15 @@ upscale_15 = 'Upscale (1.5x)'
upscale_2 = 'Upscale (2x)'
upscale_fast = 'Upscale (Fast 2x)'
uov_list = [
disabled, subtle_variation, strong_variation, upscale_15, upscale_2, upscale_fast
]
uov_list = [disabled, subtle_variation, strong_variation, upscale_15, upscale_2, upscale_fast]
enhancement_uov_before = "Before First Enhancement"
enhancement_uov_after = "After Last Enhancement"
enhancement_uov_processing_order = [enhancement_uov_before, enhancement_uov_after]
enhancement_uov_prompt_type_original = 'Original Prompts'
enhancement_uov_prompt_type_last_filled = 'Last Filled Enhancement Prompts'
enhancement_uov_prompt_types = [enhancement_uov_prompt_type_original, enhancement_uov_prompt_type_last_filled]
CIVITAI_NO_KARRAS = ["euler", "euler_ancestral", "heun", "dpm_fast", "dpm_adaptive", "ddim", "uni_pc"]
@@ -75,6 +81,10 @@ default_parameters = {
output_formats = ['png', 'jpeg', 'webp']
inpaint_mask_models = ['u2net', 'u2netp', 'u2net_human_seg', 'u2net_cloth_seg', 'silueta', 'isnet-general-use', 'isnet-anime', 'sam']
inpaint_mask_cloth_category = ['full', 'upper', 'lower']
inpaint_mask_sam_model = ['vit_b', 'vit_l', 'vit_h']
inpaint_engine_versions = ['None', 'v1', 'v2.5', 'v2.6']
inpaint_option_default = 'Inpaint or Outpaint (default)'
inpaint_option_detail = 'Improve Detail (face, hand, eyes, etc.)'
@@ -104,7 +114,6 @@ metadata_scheme = [
]
controlnet_image_count = 4
preparation_step_count = 13
class OutputFormat(Enum):
@@ -154,7 +163,7 @@ class Performance(Enum):
@classmethod
def list(cls) -> list:
return list(map(lambda c: c.value, cls))
return list(map(lambda c: (c.name, c.value), cls))
@classmethod
def values(cls) -> list:
@@ -178,3 +187,12 @@ class Performance(Enum):
def lora_filename(self) -> str | None:
return PerformanceLoRA[self.name].value if self.name in PerformanceLoRA.__members__ else None
performance_selections = []
for name, value in Performance.list():
restricted_text = ''
if Performance.has_restricted_features(value):
restricted_text = '*'
performance_selections.append((f'{value} <span style="color: grey;"> \U00002223 {Steps[name].value} steps {restricted_text}</span>', Performance[name].value))