Spaces:

OmPrakashSingh1704
/

ADVERTISE

Running

App Files Files Community

OmPrakashSingh1704 commited on Sep 19

Commit

66100e0

•

1 Parent(s): 065795a

.

Browse files

Files changed (4) hide show

options/Banner_Model/__pycache__/Image2Image.cpython-310.pyc +0 -0
options/Banner_Model/__pycache__/controlnet_flux.cpython-310.pyc +0 -0
options/Banner_Model/controlnet_flux.py +1 -1
options/Banner_Model/pipeline_flux_controlnet_inpaint.py +2 -2

options/Banner_Model/__pycache__/Image2Image.cpython-310.pyc CHANGED Viewed

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 Viewed

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 Viewed

@@ -21,7 +21,7 @@ from diffusers.models.embeddings import (
     CombinedTimestepTextProjEmbeddings,
 )
 from diffusers.models.modeling_outputs import Transformer2DModelOutput
-from transformer_flux import (
     EmbedND,
     FluxSingleTransformerBlock,
     FluxTransformerBlock,

     CombinedTimestepTextProjEmbeddings,
 )
 from diffusers.models.modeling_outputs import Transformer2DModelOutput
+from .transformer_flux import (
     EmbedND,
     FluxSingleTransformerBlock,
     FluxTransformerBlock,

options/Banner_Model/pipeline_flux_controlnet_inpaint.py CHANGED Viewed

@@ -27,8 +27,8 @@ from diffusers.utils.torch_utils import randn_tensor
 from diffusers.pipelines.pipeline_utils import DiffusionPipeline
 from diffusers.pipelines.flux.pipeline_output import FluxPipelineOutput
-from transformer_flux import FluxTransformer2DModel
-from controlnet_flux import FluxControlNetModel
 if is_torch_xla_available():
     import torch_xla.core.xla_model as xm

 from diffusers.pipelines.pipeline_utils import DiffusionPipeline
 from diffusers.pipelines.flux.pipeline_output import FluxPipelineOutput
+from .transformer_flux import FluxTransformer2DModel
+from .controlnet_flux import FluxControlNetModel
 if is_torch_xla_available():
     import torch_xla.core.xla_model as xm