Text-to-Image
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
stable-diffusion
stable-diffusion-diffusers
diffusion
latent-diffusion
Instructions to use zeromodels/stable-diffusion-v1-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/stable-diffusion-v1-2 with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/stable-diffusion-v1-2") - Keras
How to use zeromodels/stable-diffusion-v1-2 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://zeromodels/stable-diffusion-v1-2") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/stable-diffusion-v1-2: direct link, hf CLI and curl.
- Browser
- Download file 4.27 GB
-
https://huggingface.co/zeromodels/stable-diffusion-v1-2/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/stable-diffusion-v1-2/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/stable-diffusion-v1-2/resolve/main/model.weights.h5
4.27 GB
- Xet hash:
- ed8550ee7d4cb73982ec12d8c64db66454e767661d63873d7fe892e367a12fd7
- Size of remote file:
- 4.27 GB
- SHA256:
- 5d142693de312d02680da12a7bdc345d10f4ada90f786addde8490a36a7688b1
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