Spaces:
Running
on
Zero
Running
on
Zero
minor tweaks to ensure Try on works
Browse files- predict.py +3 -3
predict.py
CHANGED
@@ -19,8 +19,8 @@ class Predictor(BasePredictor):
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hf_token: Secret = Input(description="Hugging Face API token. Create a write token at https://huggingface.co/settings/token. You also need to approve the Flux Dev terms."),
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image: Path = Input(description="Image file path", default="https://github.com/nftblackmagic/catvton-flux/raw/main/example/person/1.jpg"),
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mask: Path = Input(description="Mask file path", default="https://github.com/nftblackmagic/catvton-flux/blob/main/example/person/1_mask.png?raw=true"),
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try_on: bool = Input(
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garment: Path = Input(description="Garment file path
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num_steps: int = Input(50, description="Number of steps to run the model for"),
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guidance_scale: float = Input(30, description="Guidance scale for the model"),
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seed: int = Input(0, description="Seed for the model"),
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@@ -30,9 +30,9 @@ class Predictor(BasePredictor):
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size = (width, height)
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i = load_image(str(image)).convert("RGB").resize(size)
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m = load_image(str(mask)).convert("RGB").resize(size)
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-
g = load_image(str(garment)).convert("RGB").resize(size)
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if try_on:
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self.transformer = self.try_on_transformer
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else:
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self.transformer = self.try_off_transformer
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hf_token: Secret = Input(description="Hugging Face API token. Create a write token at https://huggingface.co/settings/token. You also need to approve the Flux Dev terms."),
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image: Path = Input(description="Image file path", default="https://github.com/nftblackmagic/catvton-flux/raw/main/example/person/1.jpg"),
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mask: Path = Input(description="Mask file path", default="https://github.com/nftblackmagic/catvton-flux/blob/main/example/person/1_mask.png?raw=true"),
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try_on: bool = Input(False, description="Try on or try off"),
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garment: Path = Input(description="Garment file path like https://github.com/nftblackmagic/catvton-flux/raw/main/example/garment/00035_00.jpg", default=None),
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num_steps: int = Input(50, description="Number of steps to run the model for"),
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guidance_scale: float = Input(30, description="Guidance scale for the model"),
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seed: int = Input(0, description="Seed for the model"),
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size = (width, height)
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i = load_image(str(image)).convert("RGB").resize(size)
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m = load_image(str(mask)).convert("RGB").resize(size)
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if try_on:
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+
g = load_image(str(garment)).convert("RGB").resize(size)
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self.transformer = self.try_on_transformer
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else:
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self.transformer = self.try_off_transformer
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