[modular] add Modular flux for text-to-image (#11995)

* start flux.

* more

* up

* up

* up

* up

* get back the deleted files.

* up

* empathy

Author: sayakpaul

src/diffusers/__init__.py

@@ -364,6 +364,8 @@
 else:
     _import_structure["modular_pipelines"].extend(
         [
+            "FluxAutoBlocks",
+            "FluxModularPipeline",
             "StableDiffusionXLAutoBlocks",
             "StableDiffusionXLModularPipeline",
             "WanAutoBlocks",
@@ -999,6 +1001,8 @@
         from .utils.dummy_torch_and_transformers_objects import *  # noqa F403
     else:
         from .modular_pipelines import (
+            FluxAutoBlocks,
+            FluxModularPipeline,
             StableDiffusionXLAutoBlocks,
             StableDiffusionXLModularPipeline,
             WanAutoBlocks,

src/diffusers/hooks/_helpers.py

@@ -107,6 +107,7 @@ def _register(cls):
 def _register_attention_processors_metadata():
     from ..models.attention_processor import AttnProcessor2_0
     from ..models.transformers.transformer_cogview4 import CogView4AttnProcessor
+    from ..models.transformers.transformer_flux import FluxAttnProcessor
     from ..models.transformers.transformer_wan import WanAttnProcessor2_0
 
     # AttnProcessor2_0
@@ -132,6 +133,11 @@ def _register_attention_processors_metadata():
             skip_processor_output_fn=_skip_proc_output_fn_Attention_WanAttnProcessor2_0,
         ),
     )
+    # FluxAttnProcessor
+    AttentionProcessorRegistry.register(
+        model_class=FluxAttnProcessor,
+        metadata=AttentionProcessorMetadata(skip_processor_output_fn=_skip_proc_output_fn_Attention_FluxAttnProcessor),
+    )
 
 
 def _register_transformer_blocks_metadata():
@@ -271,4 +277,6 @@ def _skip_attention___ret___hidden_states___encoder_hidden_states(self, *args, *
 _skip_proc_output_fn_Attention_AttnProcessor2_0 = _skip_attention___ret___hidden_states
 _skip_proc_output_fn_Attention_CogView4AttnProcessor = _skip_attention___ret___hidden_states___encoder_hidden_states
 _skip_proc_output_fn_Attention_WanAttnProcessor2_0 = _skip_attention___ret___hidden_states
+# not sure what this is yet.
+_skip_proc_output_fn_Attention_FluxAttnProcessor = _skip_attention___ret___hidden_states
 # fmt: on

src/diffusers/modular_pipelines/__init__.py

@@ -41,6 +41,7 @@
     ]
     _import_structure["stable_diffusion_xl"] = ["StableDiffusionXLAutoBlocks", "StableDiffusionXLModularPipeline"]
     _import_structure["wan"] = ["WanAutoBlocks", "WanModularPipeline"]
+    _import_structure["flux"] = ["FluxAutoBlocks", "FluxModularPipeline"]
     _import_structure["components_manager"] = ["ComponentsManager"]
 
 if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
@@ -51,6 +52,7 @@
         from ..utils.dummy_pt_objects import *  # noqa F403
     else:
         from .components_manager import ComponentsManager
+        from .flux import FluxAutoBlocks, FluxModularPipeline
         from .modular_pipeline import (
             AutoPipelineBlocks,
             BlockState,

src/diffusers/modular_pipelines/flux/__init__.py

@@ -0,0 +1,66 @@
+from typing import TYPE_CHECKING
+
+from ...utils import (
+    DIFFUSERS_SLOW_IMPORT,
+    OptionalDependencyNotAvailable,
+    _LazyModule,
+    get_objects_from_module,
+    is_torch_available,
+    is_transformers_available,
+)
+
+
+_dummy_objects = {}
+_import_structure = {}
+
+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["encoders"] = ["FluxTextEncoderStep"]
+    _import_structure["modular_blocks"] = [
+        "ALL_BLOCKS",
+        "AUTO_BLOCKS",
+        "TEXT2IMAGE_BLOCKS",
+        "FluxAutoBeforeDenoiseStep",
+        "FluxAutoBlocks",
+        "FluxAutoBlocks",
+        "FluxAutoDecodeStep",
+        "FluxAutoDenoiseStep",
+    ]
+    _import_structure["modular_pipeline"] = ["FluxModularPipeline"]
+
+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 *  # noqa F403
+    else:
+        from .encoders import FluxTextEncoderStep
+        from .modular_blocks import (
+            ALL_BLOCKS,
+            AUTO_BLOCKS,
+            TEXT2IMAGE_BLOCKS,
+            FluxAutoBeforeDenoiseStep,
+            FluxAutoBlocks,
+            FluxAutoDecodeStep,
+            FluxAutoDenoiseStep,
+        )
+        from .modular_pipeline import FluxModularPipeline
+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)