long-caption
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app.py
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@@ -354,7 +354,7 @@ from diffusers import DiffusionPipeline
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# diffusion_path = "/export/jchen169/hub/models--BAAI--Emu2-Gen/snapshots/a41a2dcd777a68225dddc72c7213b064ee06f4a0"
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argparser = argparse.ArgumentParser()
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argparser.add_argument("--model-path", default="umd-vt-nyu/clip-evaclip-und-gen-
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argparser.add_argument("--conv-mode", type=str, default="llama3")
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argparser.add_argument("--temperature", type=float, default=0.2)
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argparser.add_argument("--max-new-tokens", type=int, default=64)
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# diffusion_path = "/export/jchen169/hub/models--BAAI--Emu2-Gen/snapshots/a41a2dcd777a68225dddc72c7213b064ee06f4a0"
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argparser = argparse.ArgumentParser()
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+
argparser.add_argument("--model-path", default="umd-vt-nyu/clip-evaclip-und-gen-pretrain-long-caption", type=str)
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argparser.add_argument("--conv-mode", type=str, default="llama3")
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argparser.add_argument("--temperature", type=float, default=0.2)
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argparser.add_argument("--max-new-tokens", type=int, default=64)
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