Instructions to use keras/stable_diffusion_3.5_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/stable_diffusion_3.5_medium with KerasHub:
import keras_hub # Load TextToImage model (optional: use half precision for inference) text_to_image = keras_hub.models.TextToImage.from_preset("hf://keras/stable_diffusion_3.5_medium", dtype="bfloat16") # Generate images with a TextToImage model. text_to_image.generate("Astronaut in a jungle")import keras_hub # Create a ImageToImage model task = keras_hub.models.ImageToImage.from_preset("hf://keras/stable_diffusion_3.5_medium")import keras_hub # Create a Inpaint model task = keras_hub.models.Inpaint.from_preset("hf://keras/stable_diffusion_3.5_medium")import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/stable_diffusion_3.5_medium") - Keras
How to use keras/stable_diffusion_3.5_medium with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras/stable_diffusion_3.5_medium") - Notebooks
- Google Colab
- Kaggle
File size: 236 Bytes
b35dc7a | 1 2 3 4 5 6 7 8 9 10 11 | {
"keras_version": "3.10.0",
"keras_hub_version": "0.23.0.dev0",
"parameter_count": 3371793763,
"date_saved": "2025-09-24@21:55:38",
"tasks": [
"ImageToImage",
"Inpaint",
"TextToImage"
]
} |