from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_flax_available, is_k_diffusion_available, is_k_diffusion_version, is_onnx_available, is_torch_available, is_transformers_available, is_transformers_version, ) _dummy_objects = {} _additional_imports = {} _import_structure = {"pipeline_output": ["StableDiffusionPipelineOutput"]} if is_transformers_available() and is_flax_available(): _import_structure["pipeline_output"].extend(["FlaxStableDiffusionPipelineOutput"]) try: if not (is_transformers_available() and is_torch_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils import dummy_torch_and_transformers_objects # noqa F403 _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects)) else: _import_structure["clip_image_project_model"] = ["CLIPImageProjection"] _import_structure["pipeline_cycle_diffusion"] = ["CycleDiffusionPipeline"] _import_structure["pipeline_stable_diffusion"] = ["StableDiffusionPipeline"] _import_structure["pipeline_stable_diffusion_attend_and_excite"] = ["StableDiffusionAttendAndExcitePipeline"] _import_structure["pipeline_stable_diffusion_gligen"] = ["StableDiffusionGLIGENPipeline"] _import_structure["pipeline_stable_diffusion_gligen_text_image"] = ["StableDiffusionGLIGENTextImagePipeline"] _import_structure["pipeline_stable_diffusion_img2img"] = ["StableDiffusionImg2ImgPipeline"] _import_structure["pipeline_stable_diffusion_inpaint"] = ["StableDiffusionInpaintPipeline"] _import_structure["pipeline_stable_diffusion_inpaint_legacy"] = ["StableDiffusionInpaintPipelineLegacy"] _import_structure["pipeline_stable_diffusion_instruct_pix2pix"] = ["StableDiffusionInstructPix2PixPipeline"] _import_structure["pipeline_stable_diffusion_latent_upscale"] = ["StableDiffusionLatentUpscalePipeline"] _import_structure["pipeline_stable_diffusion_model_editing"] = ["StableDiffusionModelEditingPipeline"] _import_structure["pipeline_stable_diffusion_paradigms"] = ["StableDiffusionParadigmsPipeline"] _import_structure["pipeline_stable_diffusion_upscale"] = ["StableDiffusionUpscalePipeline"] _import_structure["pipeline_stable_unclip"] = ["StableUnCLIPPipeline"] _import_structure["pipeline_stable_unclip_img2img"] = ["StableUnCLIPImg2ImgPipeline"] _import_structure["safety_checker"] = ["StableDiffusionSafetyChecker"] _import_structure["stable_unclip_image_normalizer"] = ["StableUnCLIPImageNormalizer"] try: if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import ( StableDiffusionImageVariationPipeline, ) _dummy_objects.update({"StableDiffusionImageVariationPipeline": StableDiffusionImageVariationPipeline}) else: _import_structure["pipeline_stable_diffusion_image_variation"] = ["StableDiffusionImageVariationPipeline"] try: if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.26.0")): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import ( StableDiffusionDepth2ImgPipeline, ) _dummy_objects.update( { "StableDiffusionDepth2ImgPipeline": StableDiffusionDepth2ImgPipeline, } ) else: _import_structure["pipeline_stable_diffusion_depth2img"] = ["StableDiffusionDepth2ImgPipeline"] try: if not (is_transformers_available() and is_onnx_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils import dummy_onnx_objects # noqa F403 _dummy_objects.update(get_objects_from_module(dummy_onnx_objects)) else: _import_structure["pipeline_onnx_stable_diffusion"] = [ "OnnxStableDiffusionPipeline", "StableDiffusionOnnxPipeline", ] _import_structure["pipeline_onnx_stable_diffusion_img2img"] = ["OnnxStableDiffusionImg2ImgPipeline"] _import_structure["pipeline_onnx_stable_diffusion_inpaint"] = ["OnnxStableDiffusionInpaintPipeline"] _import_structure["pipeline_onnx_stable_diffusion_inpaint_legacy"] = ["OnnxStableDiffusionInpaintPipelineLegacy"] _import_structure["pipeline_onnx_stable_diffusion_upscale"] = ["OnnxStableDiffusionUpscalePipeline"] if is_transformers_available() and is_flax_available(): from ...schedulers.scheduling_pndm_flax import PNDMSchedulerState _additional_imports.update({"PNDMSchedulerState": PNDMSchedulerState}) _import_structure["pipeline_flax_stable_diffusion"] = ["FlaxStableDiffusionPipeline"] _import_structure["pipeline_flax_stable_diffusion_img2img"] = ["FlaxStableDiffusionImg2ImgPipeline"] _import_structure["pipeline_flax_stable_diffusion_inpaint"] = ["FlaxStableDiffusionInpaintPipeline"] _import_structure["safety_checker_flax"] = ["FlaxStableDiffusionSafetyChecker"] if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: try: if not (is_transformers_available() and is_torch_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import * else: from .clip_image_project_model import CLIPImageProjection from .pipeline_stable_diffusion import ( StableDiffusionPipeline, StableDiffusionPipelineOutput, ) from .pipeline_stable_diffusion_img2img import StableDiffusionImg2ImgPipeline from .pipeline_stable_diffusion_inpaint import StableDiffusionInpaintPipeline from .pipeline_stable_diffusion_instruct_pix2pix import ( StableDiffusionInstructPix2PixPipeline, ) from .pipeline_stable_diffusion_latent_upscale import ( StableDiffusionLatentUpscalePipeline, ) from .pipeline_stable_diffusion_upscale import StableDiffusionUpscalePipeline from .pipeline_stable_unclip import StableUnCLIPPipeline from .pipeline_stable_unclip_img2img import StableUnCLIPImg2ImgPipeline from .safety_checker import StableDiffusionSafetyChecker from .stable_unclip_image_normalizer import StableUnCLIPImageNormalizer try: if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import ( StableDiffusionImageVariationPipeline, ) else: from .pipeline_stable_diffusion_image_variation import ( StableDiffusionImageVariationPipeline, ) try: if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.26.0")): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import StableDiffusionDepth2ImgPipeline else: from .pipeline_stable_diffusion_depth2img import ( StableDiffusionDepth2ImgPipeline, ) try: if not (is_transformers_available() and is_onnx_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_onnx_objects import * else: from .pipeline_onnx_stable_diffusion import ( OnnxStableDiffusionPipeline, StableDiffusionOnnxPipeline, ) from .pipeline_onnx_stable_diffusion_img2img import ( OnnxStableDiffusionImg2ImgPipeline, ) from .pipeline_onnx_stable_diffusion_inpaint import ( OnnxStableDiffusionInpaintPipeline, ) from .pipeline_onnx_stable_diffusion_upscale import ( OnnxStableDiffusionUpscalePipeline, ) try: if not (is_transformers_available() and is_flax_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_flax_objects import * else: from .pipeline_flax_stable_diffusion import FlaxStableDiffusionPipeline from .pipeline_flax_stable_diffusion_img2img import ( FlaxStableDiffusionImg2ImgPipeline, ) from .pipeline_flax_stable_diffusion_inpaint import ( FlaxStableDiffusionInpaintPipeline, ) from .pipeline_output import FlaxStableDiffusionPipelineOutput from .safety_checker_flax import FlaxStableDiffusionSafetyChecker else: import sys sys.modules[__name__] = _LazyModule( __name__, globals()["__file__"], _import_structure, module_spec=__spec__, ) for name, value in _dummy_objects.items(): setattr(sys.modules[__name__], name, value) for name, value in _additional_imports.items(): setattr(sys.modules[__name__], name, value)