Instructions to use mfidabel/instruct-pix2pix-tensorflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mfidabel/instruct-pix2pix-tensorflow 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://mfidabel/instruct-pix2pix-tensorflow") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from mfidabel/instruct-pix2pix-tensorflow: direct link, hf CLI and curl.
- Browser
- Download file 168 Bytes
-
https://huggingface.co/mfidabel/instruct-pix2pix-tensorflow/resolve/main/README.md
- Command line
-
hf download hf://mfidabel/instruct-pix2pix-tensorflow/README.md
-
curl -L -o README.md https://huggingface.co/mfidabel/instruct-pix2pix-tensorflow/resolve/main/README.md
168 Bytes
| license: creativeml-openrail-m | |
| library_name: keras | |
| Keras Stable Diffusion Instruct Pix 2 Pix Weights | |
| https://github.com/mfidabel/instruct-pix-2-pix-tensorflow |