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Update app.py
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app.py
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@@ -6,6 +6,10 @@ import torch
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Cargar el modelo
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pipe = DiffusionPipeline.from_pretrained(
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"aztro/mabama-sdxl",
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@@ -17,6 +21,7 @@ pipe = pipe.to(device)
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if device == "cuda":
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pipe.enable_xformers_memory_efficient_attention()
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1024
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Limpiar la cach茅 (opcional)
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from transformers.utils import move_cache
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move_cache()
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# Cargar el modelo
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pipe = DiffusionPipeline.from_pretrained(
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"aztro/mabama-sdxl",
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if device == "cuda":
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pipe.enable_xformers_memory_efficient_attention()
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# Resto del c贸digo...
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1024
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