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OmPrakashSingh1704 commited on
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66100e0
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1 Parent(s): 065795a

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Files changed (4) hide show
  1. options/Banner_Model/__pycache__/Image2Image.cpython-310.pyc +0 -0
  2. options/Banner_Model/__pycache__/controlnet_flux.cpython-310.pyc +0 -0
  3. options/Banner_Model/controlnet_flux.py +1 -1
  4. options/Banner_Model/pipeline_flux_controlnet_inpaint.py +2 -2
options/Banner_Model/__pycache__/Image2Image.cpython-310.pyc CHANGED
Binary files a/options/Banner_Model/__pycache__/Image2Image.cpython-310.pyc and b/options/Banner_Model/__pycache__/Image2Image.cpython-310.pyc differ
 
options/Banner_Model/__pycache__/controlnet_flux.cpython-310.pyc CHANGED
Binary files a/options/Banner_Model/__pycache__/controlnet_flux.cpython-310.pyc and b/options/Banner_Model/__pycache__/controlnet_flux.cpython-310.pyc differ
 
options/Banner_Model/controlnet_flux.py CHANGED
@@ -21,7 +21,7 @@ from diffusers.models.embeddings import (
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  CombinedTimestepTextProjEmbeddings,
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  )
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  from diffusers.models.modeling_outputs import Transformer2DModelOutput
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- from transformer_flux import (
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  EmbedND,
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  FluxSingleTransformerBlock,
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  FluxTransformerBlock,
 
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  CombinedTimestepTextProjEmbeddings,
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  )
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  from diffusers.models.modeling_outputs import Transformer2DModelOutput
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+ from .transformer_flux import (
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  EmbedND,
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  FluxSingleTransformerBlock,
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  FluxTransformerBlock,
options/Banner_Model/pipeline_flux_controlnet_inpaint.py CHANGED
@@ -27,8 +27,8 @@ from diffusers.utils.torch_utils import randn_tensor
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  from diffusers.pipelines.pipeline_utils import DiffusionPipeline
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  from diffusers.pipelines.flux.pipeline_output import FluxPipelineOutput
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- from transformer_flux import FluxTransformer2DModel
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- from controlnet_flux import FluxControlNetModel
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  if is_torch_xla_available():
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  import torch_xla.core.xla_model as xm
 
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  from diffusers.pipelines.pipeline_utils import DiffusionPipeline
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  from diffusers.pipelines.flux.pipeline_output import FluxPipelineOutput
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+ from .transformer_flux import FluxTransformer2DModel
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+ from .controlnet_flux import FluxControlNetModel
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  if is_torch_xla_available():
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  import torch_xla.core.xla_model as xm