extern/easydiffusion
1
0
Fork 1
mirror of https://github.com/easydiffusion/easydiffusion.git synced 2025-01-23 14:50:54 +01:00
Code Issues Packages Projects Releases Wiki Activity

Don't set the specific vram optimizations to use, instead use the new sdkit API for setting the vram usage level directly

Browse Source
This commit is contained in:
cmdr2 2023-01-17 21:33:15 +05:30
parent 0a1197055c
commit 42f9abdfe3
1 changed files with 2 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
ui/easydiffusion/model_manager.py
View File

@ -24,11 +24,6 @@ DEFAULT_MODELS = {
'gfpgan': ['GFPGANv1.3'],
'realesrgan': ['RealESRGAN_x4plus'],
}
VRAM_USAGE_LEVEL_TO_OPTIMIZATIONS = {
'balanced': {'KEEP_FS_AND_CS_IN_CPU', 'SET_ATTENTION_STEP_TO_4'},
'low': {'KEEP_ENTIRE_MODEL_IN_CPU'},
'high': {},
}
MODELS_TO_LOAD_ON_START = ['stable-diffusion', 'vae', 'hypernetwork']
known_models = {}
@ -133,10 +128,8 @@ def set_vram_optimizations(context: Context):
f'possible ({max_usage_level}) on this device ({context.device}). Using "{max_usage_level}" instead')
vram_usage_level = max_usage_level
vram_optimizations = VRAM_USAGE_LEVEL_TO_OPTIMIZATIONS[vram_usage_level]
if vram_optimizations != context.vram_optimizations:
context.vram_optimizations = vram_optimizations
if vram_usage_level != context.vram_usage_level:
context.vram_usage_level = vram_usage_level
return True
return False