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extra lora args added for DevLora and SchnellLora predictor #68

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extra lora args added for DevLora and SchnellLora predictor #68

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8 changes: 6 additions & 2 deletions predict.py
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Original file line number Diff line number Diff line change
Expand Up @@ -949,8 +949,10 @@ def predict(
lora_weights: str = Inputs.lora_weights,
lora_scale: float = Inputs.lora_scale,
megapixels: str = Inputs.megapixels,
extra_lora_weights: str = Inputs.lora_weights,
extra_lora_scale: float = Inputs.lora_scale,
) -> List[Path]:
self.handle_loras(go_fast, lora_weights, lora_scale)
self.handle_loras(go_fast, lora_weights, lora_scale, extra_lora_weights, extra_lora_scale)

width, height = self.size_from_aspect_megapixels(aspect_ratio, megapixels)
imgs, np_imgs = self.shared_predict(
Expand Down Expand Up @@ -1004,12 +1006,14 @@ def predict(
lora_weights: str = Inputs.lora_weights,
lora_scale: float = Inputs.lora_scale,
megapixels: str = Inputs.megapixels,
extra_lora_weights: str = Inputs.lora_weights,
extra_lora_scale: float = Inputs.lora_scale,
) -> List[Path]:
if image and go_fast:
print("img2img not supported with fp8 quantization; running with bf16")
go_fast = False

self.handle_loras(go_fast, lora_weights, lora_scale)
self.handle_loras(go_fast, lora_weights, lora_scale, extra_lora_weights, extra_lora_scale)

width, height = self.size_from_aspect_megapixels(aspect_ratio, megapixels)
imgs, np_imgs = self.shared_predict(
Expand Down