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Use the Shakker-Labs ControlNet union model as the only FLUX ControlNet starter model.
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@@ -423,37 +423,9 @@ STARTER_MODELS: list[StarterModel] = [
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type=ModelType.ControlNet,
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type=ModelType.ControlNet,
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),
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),
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StarterModel(
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StarterModel(
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name="flux-canny-controlnet-v3",
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name="FLUX.1-dev-Controlnet-Union-Pro",
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base=BaseModelType.Flux,
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base=BaseModelType.Flux,
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source="https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-canny-controlnet-v3.safetensors",
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source="Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
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description="ControlNet weights trained on FLUX with canny image conditioning",
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type=ModelType.ControlNet,
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),
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StarterModel(
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name="flux-depth-controlnet-v3",
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base=BaseModelType.Flux,
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source="https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-depth-controlnet-v3.safetensors",
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description="ControlNet weights trained on FLUX with depth image conditioning",
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type=ModelType.ControlNet,
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),
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StarterModel(
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name="flux-hed-controlnet-v3",
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base=BaseModelType.Flux,
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source="https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-hed-controlnet-v3.safetensors",
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description="ControlNet weights trained on FLUX with HED image conditioning",
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type=ModelType.ControlNet,
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),
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StarterModel(
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name="FLUX.1-dev-Controlnet-Canny",
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base=BaseModelType.Flux,
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source="InstantX/FLUX.1-dev-Controlnet-Canny",
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description="ControlNet weights trained on FLUX with Canny image conditioning",
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type=ModelType.ControlNet,
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),
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StarterModel(
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name="FLUX.1-dev-Controlnet-Union",
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base=BaseModelType.Flux,
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source="InstantX/FLUX.1-dev-Controlnet-Union",
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description="A unified ControlNet for FLUX.1-dev model that supports 7 control modes, including canny (0), tile (1), depth (2), blur (3), pose (4), gray (5), low quality (6)",
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description="A unified ControlNet for FLUX.1-dev model that supports 7 control modes, including canny (0), tile (1), depth (2), blur (3), pose (4), gray (5), low quality (6)",
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type=ModelType.ControlNet,
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type=ModelType.ControlNet,
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),
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),
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