AI/diffusers
1
0
Fork 0
mirror of https://github.com/huggingface/diffusers.git synced 2026-01-29 07:22:12 +03:00
Code Activity

update

Browse Source
This commit is contained in:
Dhruv Nair
2025-07-29 20:03:28 +02:00
parent 4bf07e5fc5
commit 1db63655e4
1 changed files with 2 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
src/diffusers/modular_pipelines/modular_pipeline.py
View File

@@ -379,9 +379,7 @@ class ModularPipelineBlocks(ConfigMixin, PushToHubMixin):
# if kwargs_type is provided, get all inputs with matching kwargs_type
if input_param.kwargs_type not in data:
data[input_param.kwargs_type] = {}
inputs_kwargs = state.get_by_kwargs(input_param.kwargs_type) or state.get_kwargs(
input_param.kwargs_type
)
inputs_kwargs = state.get_by_kwargs(input_param.kwargs_type)
if inputs_kwargs:
for k, v in inputs_kwargs.items():
if v is not None:
@@ -405,6 +403,7 @@ class ModularPipelineBlocks(ConfigMixin, PushToHubMixin):
if current_value is not param: # Using identity comparison to check if object was modified
state.set(input_param.name, param, input_param.kwargs_type)
elif input_param.kwargs_type:
import ipdb; ipdb.set_trace()
# if it is a kwargs type, e.g. "guider_input_fields", it is likely to be a list of parameters
# we need to first find out which inputs are and loop through them.
intermediate_kwargs = state.get_by_kwargs(input_param.kwargs_type)