Text-to-Image
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
stable-diffusion
stable-diffusion-diffusers
diffusion
latent-diffusion
Instructions to use zeromodels/stable-diffusion-v1-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/stable-diffusion-v1-3 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-v1-3") - Keras
How to use zeromodels/stable-diffusion-v1-3 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-v1-3") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/stable-diffusion-v1-3: direct link, hf CLI and curl.
- Browser
- Download file 4.27 GB
-
https://huggingface.co/zeromodels/stable-diffusion-v1-3/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/stable-diffusion-v1-3/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/stable-diffusion-v1-3/resolve/main/model.weights.h5
4.27 GB
- Xet hash:
- 441c93384064e6a231ca27f6665f5455e0d60aac6183918616e2a7c51a595b2d
- Size of remote file:
- 4.27 GB
- SHA256:
- eb38bb77cb25d3490e2d9e305c14483055d73a8d7458b3a03990d03e4578f889
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