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feat: allow sharding for auraflow. #8853

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feat: allow sharding for auraflow. #8853

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1 change: 1 addition & 0 deletions src/diffusers/models/transformers/auraflow_transformer_2d.py
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Expand Up @@ -253,6 +253,7 @@ class AuraFlowTransformer2DModel(ModelMixin, ConfigMixin):
pos_embed_max_size (`int`, defaults to 4096): Maximum positions to embed from the image latents.
"""

_no_split_modules = ["AuraFlowJointTransformerBlock", "AuraFlowSingleTransformerBlock", "AuraFlowPatchEmbed"]
_supports_gradient_checkpointing = True

@register_to_config
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2 changes: 2 additions & 0 deletions tests/models/transformers/test_models_transformer_aura_flow.py
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Expand Up @@ -29,6 +29,8 @@
class SD3TransformerTests(ModelTesterMixin, unittest.TestCase):
model_class = AuraFlowTransformer2DModel
main_input_name = "hidden_states"
# We override the items here because the transformer under consideration is small.
model_split_percents = [0.7, 0.6, 0.6]

@property
def dummy_input(self):
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