Instructions to use detectivejoewest/diffusion-med-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use detectivejoewest/diffusion-med-coco with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://detectivejoewest/diffusion-med-coco") - Notebooks
- Google Colab
- Kaggle
Update handler.py
Browse files- handler.py +3 -3
handler.py
CHANGED
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@@ -489,9 +489,9 @@ class DiTBlock(tf.keras.layers.Layer):
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"context_size": self.context_size})
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return config
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encoder = tf.keras.models.load_model("encoder.keras")
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decoder = tf.keras.models.load_model("decoder.keras")
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diffuser = tf.keras.models.load_model("diffusion-med-coco.keras")
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def inference(prompts):
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N = len(prompts)
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"context_size": self.context_size})
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return config
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encoder = tf.keras.models.load_model("/repository/encoder.keras")
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decoder = tf.keras.models.load_model("/repository/decoder.keras")
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diffuser = tf.keras.models.load_model("/repository/diffusion-med-coco.keras")
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def inference(prompts):
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N = len(prompts)
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