Spaces:
Running
on
Zero
Running
on
Zero
<fix> low cpu memory usage.
Browse files
app.py
CHANGED
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@@ -54,14 +54,18 @@ def init_basemodel():
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# init models
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transformer = HunyuanVideoTransformer3DModel.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="transformer",
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inference_subject_driven=False
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scheduler = diffusers.FlowMatchEulerDiscreteScheduler()
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vae = diffusers.AutoencoderKLHunyuanVideo.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="vae"
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text_encoder = transformers.LlavaForConditionalGeneration.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="text_encoder"
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text_encoder_2 = transformers.CLIPTextModel.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="text_encoder_2"
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tokenizer = transformers.AutoTokenizer.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="tokenizer")
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tokenizer_2 = transformers.CLIPTokenizer.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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# init models
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transformer = HunyuanVideoTransformer3DModel.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="transformer",
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inference_subject_driven=False,
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low_cpu_mem_usage=True)
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scheduler = diffusers.FlowMatchEulerDiscreteScheduler()
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vae = diffusers.AutoencoderKLHunyuanVideo.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="vae",
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low_cpu_mem_usage=True)
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text_encoder = transformers.LlavaForConditionalGeneration.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="text_encoder",
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low_cpu_mem_usage=True)
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text_encoder_2 = transformers.CLIPTextModel.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="text_encoder_2",
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low_cpu_mem_usage=True)
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tokenizer = transformers.AutoTokenizer.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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subfolder="tokenizer")
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tokenizer_2 = transformers.CLIPTokenizer.from_pretrained('hunyuanvideo-community/HunyuanVideo-I2V',
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