Get the appropriate sampling param for specific pretrained weights.
Source code in fastvideo/configs/sample/registry.py
| def get_sampling_param_cls_for_name(pipeline_name_or_path: str) -> Any | None:
"""Get the appropriate sampling param for specific pretrained weights."""
if os.path.exists(pipeline_name_or_path):
config = verify_model_config_and_directory(pipeline_name_or_path)
logger.warning(
"FastVideo may not correctly identify the optimal sampling param for this model, as the local directory may have been renamed."
)
else:
config = maybe_download_model_index(pipeline_name_or_path)
pipeline_name = config["_class_name"]
# First try exact match for specific weights
if pipeline_name_or_path in SAMPLING_PARAM_REGISTRY:
return SAMPLING_PARAM_REGISTRY[pipeline_name_or_path]
# Try partial matches (for local paths that might include the weight ID)
for registered_id, config_class in SAMPLING_PARAM_REGISTRY.items():
if registered_id in pipeline_name_or_path:
return config_class
# If no match, try to use the fallback config
fallback_config = None
# Try to determine pipeline architecture for fallback
for pipeline_type, detector in SAMPLING_PARAM_DETECTOR.items():
if detector(pipeline_name.lower()):
fallback_config = SAMPLING_FALLBACK_PARAM.get(pipeline_type)
break
logger.warning(
"No match found for pipeline %s, using fallback sampling param %s.",
pipeline_name_or_path, fallback_config)
return fallback_config
|