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Controlnet support fixes #3

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Controlnet support fixes #3

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b4ddef1
Add .gitignore
yondonfu Dec 10, 2024
a4dceae
Set batch_multiplier = 1 in TRTBuildBase
yondonfu Dec 10, 2024
11b623b
Default for optional onnx_model_path
yondonfu Dec 10, 2024
57771d8
turbo support
ryanontheinside Jun 5, 2025
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2 changes: 2 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
__pycache__
*.trt
8 changes: 8 additions & 0 deletions models/sd_unet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -192,6 +192,10 @@ def __init__(
**kwargs,
)

@classmethod
def from_model(cls, model, **kwargs):
return super(SD21UnclipL_TRT, cls).from_model(model, use_control=True)


class SD21UnclipH_TRT(UNetTRT):
def __init__(
Expand All @@ -214,6 +218,10 @@ def __init__(
**kwargs,
)

@classmethod
def from_model(cls, model, **kwargs):
return super(SD21UnclipH_TRT, cls).from_model(model, use_control=True)


class SDXLRefiner_TRT(UNetTRT):
def __init__(
Expand Down
8 changes: 3 additions & 5 deletions tensorrt_nodes.py
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Expand Up @@ -155,9 +155,7 @@ def _convert(
full_output_folder, f"{filename}_{counter:05}_.engine"
)

batch_multiplier = (
2 if model_helper.is_conditional else 1
) # TODO lets see if we really want this
batch_multiplier = 1
if model_version == "SVD_img2vid":
batch_multiplier *= num_video_frames
success = trt_model.build(
Expand Down Expand Up @@ -338,7 +336,7 @@ def convert(
context_opt,
context_max,
num_video_frames,
onnx_model_path,
onnx_model_path = None,
):
return super()._convert(
model,
Expand Down Expand Up @@ -431,7 +429,7 @@ def convert(
width_opt,
context_opt,
num_video_frames,
onnx_model_path,
onnx_model_path = None,
):
return super()._convert(
model,
Expand Down