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add FLUX control loras to starter models
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@ -488,6 +488,22 @@ union_cnet_flux = 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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# endregion
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# endregion
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# region Control LoRA
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flux_canny_control_lora = StarterModel(
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name="Hard Edge Detection (Canny)",
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base=BaseModelType.Flux,
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source="black-forest-labs/FLUX.1-Canny-dev-lora::flux1-canny-dev-lora.safetensors",
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description="Uses detected edges in the image to control composition.",
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type=ModelType.ControlLoRa,
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)
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flux_depth_control_lora = StarterModel(
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name="Depth Map",
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base=BaseModelType.Flux,
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source="black-forest-labs/FLUX.1-Depth-dev-lora::flux1-depth-dev-lora.safetensors",
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description="Uses depth information in the image to control the depth in the generation.",
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type=ModelType.ControlLoRa,
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)
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# endregion
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# region T2I Adapter
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# region T2I Adapter
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t2i_canny_sd1 = StarterModel(
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t2i_canny_sd1 = StarterModel(
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name="Hard Edge Detection (canny)",
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name="Hard Edge Detection (canny)",
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@ -630,6 +646,8 @@ STARTER_MODELS: list[StarterModel] = [
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tile_sdxl,
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tile_sdxl,
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union_cnet_sdxl,
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union_cnet_sdxl,
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union_cnet_flux,
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union_cnet_flux,
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flux_canny_control_lora,
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flux_depth_control_lora,
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t2i_canny_sd1,
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t2i_canny_sd1,
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t2i_sketch_sd1,
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t2i_sketch_sd1,
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t2i_depth_sd1,
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t2i_depth_sd1,
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@ -688,6 +706,8 @@ flux_bundle: list[StarterModel] = [
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clip_l_encoder,
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clip_l_encoder,
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union_cnet_flux,
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union_cnet_flux,
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ip_adapter_flux,
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ip_adapter_flux,
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flux_canny_control_lora,
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flux_depth_control_lora,
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]
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]
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STARTER_BUNDLES: dict[str, list[StarterModel]] = {
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STARTER_BUNDLES: dict[str, list[StarterModel]] = {
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