Instructions to use kfahn/dreambooth_diffusion_model_gesture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kfahn/dreambooth_diffusion_model_gesture with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kfahn/dreambooth_diffusion_model_gesture") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2d19e3a9bf5dce7f3e0eb60acd282b8a5237d7dd6e3208c839c1ed048282fe0
- Size of remote file:
- 20.8 MB
- SHA256:
- 941e7468456e190a999836fc7b8256ba2694a17b46b240732413cd815205d3c1
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