Update handler.py
Browse files- handler.py +17 -6
handler.py
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@@ -75,13 +75,29 @@ class EndpointHandler:
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path: Path to model weights
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"""
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self.device = "cuda" if torch.cuda.is_available() else "cpu"
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# Initialize HunyuanVideo pipeline
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self.pipeline = HunyuanVideoPipeline.from_pretrained(
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path,
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torch_dtype=torch.float16,
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).to(self.device)
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# Initialize text encoders in float16
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self.pipeline.text_encoder = self.pipeline.text_encoder.half()
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self.pipeline.text_encoder_2 = self.pipeline.text_encoder_2.half()
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@@ -92,11 +108,6 @@ class EndpointHandler:
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# Initialize VAE in float16
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self.pipeline.vae = self.pipeline.vae.half()
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# Initialize Enhance-A-Video
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inject_enhance_for_hunyuanvideo(self.pipeline.transformer)
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set_enhance_weight(4.0) # default weight
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enable_enhance()
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# Initialize Varnish for post-processing
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self.varnish = Varnish(
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device=self.device,
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path: Path to model weights
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"""
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self.device = "cuda" if torch.cuda.is_available() else "cpu"
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# Initialize transformer with Enhance-A-Video injection first
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transformer = HunyuanVideoTransformer3DModel.from_pretrained(
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path,
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subfolder="transformer",
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torch_dtype=torch.bfloat16
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)
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inject_enhance_for_hunyuanvideo(transformer)
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# Initialize HunyuanVideo pipeline with the enhanced transformer
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self.pipeline = HunyuanVideoPipeline.from_pretrained(
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path,
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transformer=transformer,
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torch_dtype=torch.float16,
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).to(self.device)
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# Initialize HunyuanVideo pipeline
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self.pipeline = HunyuanVideoPipeline.from_pretrained(
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path,
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torch_dtype=torch.float16,
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).to(self.device)
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# Initialize text encoders in float16
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self.pipeline.text_encoder = self.pipeline.text_encoder.half()
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self.pipeline.text_encoder_2 = self.pipeline.text_encoder_2.half()
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# Initialize VAE in float16
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self.pipeline.vae = self.pipeline.vae.half()
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# Initialize Varnish for post-processing
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self.varnish = Varnish(
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device=self.device,
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