Instructions to use dinhvietduy/create_image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dinhvietduy/create_image with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://dinhvietduy/create_image") - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - ehristoforu/dalle-3-images | |
| - Falah/image_generation_prompts_SDXL | |
| - Kazimir-ai/text-to-image-prompts | |
| language: | |
| - ab | |
| metrics: | |
| - accuracy | |
| library_name: keras | |
| pipeline_tag: text-to-image | |
| tags: | |
| - art |