mirror of
https://github.com/vladmandic/automatic
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3368ce95f7
Qwen-Image: diffusers registers a no-op identity lambda for QwenImageTransformer2DModel; from_single_file silently accepted any key naming and loaded with mismatches. QWEN_SPEC sets converter=None to short-circuit the no-op. Custom transformer classes (Lens, Step1X-Edit, VIBE Sana, f-lite): runtime-registered onto diffusers, never in SINGLE_FILE_LOADABLE_CLASSES. Specs land in each arch's existing pipelines/<arch>/__init__.py. NextStep skipped: loader returns None up front.
12 lines
391 B
Python
12 lines
391 B
Python
"""VIBE pipeline components for SD.Next."""
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from pipelines.native_transformer import TransformerSpec
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from .vibe_sana_editing import VIBESanaEditingModel
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from .vibe_sana_pipeline import VIBESanaEditingPipeline, VIBESanaImagePipeline
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VIBE_SPEC = TransformerSpec(cls=VIBESanaEditingModel)
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__all__ = ["VIBE_SPEC", "VIBESanaEditingModel", "VIBESanaEditingPipeline", "VIBESanaImagePipeline"]
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