Text-to-Image
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
stable-diffusion
stable-diffusion-diffusers
diffusion
latent-diffusion
Instructions to use zeromodels/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/stable-diffusion-v1-4 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-v1-4") - Keras
How to use zeromodels/stable-diffusion-v1-4 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-v1-4") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/stable-diffusion-v1-4: direct link, hf CLI and curl.
- Browser
- Download file 4.27 GB
-
https://huggingface.co/zeromodels/stable-diffusion-v1-4/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/stable-diffusion-v1-4/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/stable-diffusion-v1-4/resolve/main/model.weights.h5
4.27 GB
- Xet hash:
- 7a89877f149a6e6e557b89aeab5215362b3c1d110db7d831bee5eb4109d675fc
- Size of remote file:
- 4.27 GB
- SHA256:
- a8901bc75ee50c8fa875237300df2e33ab4178794f2064193c2034194e2f82d5
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