Instructions to use drmeeseeks/dreambooth_diffusion_model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drmeeseeks/dreambooth_diffusion_model-v2 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://drmeeseeks/dreambooth_diffusion_model-v2") - Notebooks
- Google Colab
- Kaggle
Download config.json from drmeeseeks/dreambooth_diffusion_model-v2: direct link, hf CLI and curl.
- Browser
- Download file 89 Bytes
-
https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/config.json
- Command line
-
hf download hf://drmeeseeks/dreambooth_diffusion_model-v2/config.json
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curl -L -o config.json https://huggingface.co/drmeeseeks/dreambooth_diffusion_model-v2/resolve/main/config.json
89 Bytes
| {"name": "diffusion_model_1", "img_height": 512, "img_width": 512, "max_text_length": 77} |