Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2024-12-30 12:43:42 -05:00
parent 7cd745992a
commit 8dd249799a
-4
View File
@@ -213,7 +213,6 @@ def load_transformer(file_path): # triggered by opts.sd_unet change
if _transformer is not None:
transformer = _transformer
elif quant == 'fp8' or quant == 'fp4' or quant == 'nf4' or 'Model' in shared.opts.bnb_quantization:
print('HERE0')
_transformer, _text_encoder_2 = load_flux_bnb(file_path, diffusers_load_config)
if _transformer is not None:
transformer = _transformer
@@ -223,7 +222,6 @@ def load_transformer(file_path): # triggered by opts.sd_unet change
if _transformer is not None:
transformer = _transformer
else:
print('HERE1')
quant_args = {}
quant_args = model_quant.create_bnb_config(quant_args)
if quant_args:
@@ -232,8 +230,6 @@ def load_transformer(file_path): # triggered by opts.sd_unet change
quant_args = model_quant.create_ao_config(quant_args)
if quant_args:
model_quant.load_torchao(f'Load model: type=Sana quant={quant_args}')
print('HERE2', diffusers_load_config)
print('HERE3', quant_args)
transformer = diffusers.FluxTransformer2DModel.from_single_file(file_path, **diffusers_load_config, **quant_args)
if transformer is None:
shared.log.error('Failed to load UNet model')