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feat: streamdiffusion + reward forcing VACE FFLF pipeline layer support #291

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feat: streamdiffusion + reward forcing VACE FFLF pipeline layer support #291

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8 changes: 8 additions & 0 deletions src/scope/core/pipelines/reward_forcing/pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -195,6 +195,14 @@ def _generate(self, **kwargs) -> torch.Tensor:
if "vace_ref_images" not in kwargs:
self.state.set("vace_ref_images", None)

# Clear extension mode parameters from state if not provided to prevent reuse on non-extension chunks
if "extension_mode" not in kwargs:
self.state.set("extension_mode", None)
if "first_frame_image" not in kwargs:
self.state.set("first_frame_image", None)
if "last_frame_image" not in kwargs:
self.state.set("last_frame_image", None)

if self.state.get("denoising_step_list") is None:
self.state.set("denoising_step_list", DEFAULT_DENOISING_STEP_LIST)

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8 changes: 8 additions & 0 deletions src/scope/core/pipelines/streamdiffusionv2/pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -202,6 +202,14 @@ def _generate(self, **kwargs) -> torch.Tensor:
if "vace_ref_images" not in kwargs:
self.state.set("vace_ref_images", None)

# Clear extension mode parameters from state if not provided to prevent reuse on non-extension chunks
if "extension_mode" not in kwargs:
self.state.set("extension_mode", None)
if "first_frame_image" not in kwargs:
self.state.set("first_frame_image", None)
if "last_frame_image" not in kwargs:
self.state.set("last_frame_image", None)

if self.state.get("denoising_step_list") is None:
self.state.set("denoising_step_list", DEFAULT_DENOISING_STEP_LIST)

Expand Down