The resolution step fill_pipeline_config_defaults[<PipelineConfig class>]
fills each typed field that is still None with the value that the model's
PipelineConfig holds for the field's flat name. That PipelineConfig is the
one flattening starts from: the registry class for model_path, plus a
pipeline config file or object when one is given. The covered fields are the
engine.precision fields, pipeline.vae_sp, flow_shift, embedded_cfg_scale,
dmd_denoising_steps, and the pipeline.longcat BSA settings.
The resolved config therefore holds the effective value of these fields,
and provenance tells a model default apart from user input. The step runs
after the environment steps and before the derived values, so the precedence
is user input, then environment variables, then model defaults.
inference_resolution_steps(config) builds the ordered step list.
The values that the step fills are the values that PipelineConfig already
had, so FastVideoArgs and PipelineConfig are unchanged; the golden snapshots
add the decisions. Tests that flatten unregistered model paths skip this
step.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
