Text-to-Image
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
stable-diffusion
stable-diffusion-3
sd3
mmdit
diffusion
rectified-flow
Instructions to use zeromodels/stable-diffusion-3-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/stable-diffusion-3-medium 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-3-medium") - Keras
How to use zeromodels/stable-diffusion-3-medium 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-3-medium") - Notebooks
- Google Colab
- Kaggle
Add stable-diffusion-3-medium: zeromodels Keras 3 conversion of stabilityai/stable-diffusion-3-medium-diffusers
a564344 verified Download model_00000.weights.h5 from zeromodels/stable-diffusion-3-medium: direct link, hf CLI and curl.
- Browser
- Download file 5.37 GB
-
https://huggingface.co/zeromodels/stable-diffusion-3-medium/resolve/main/model_00000.weights.h5
- Command line
-
hf download hf://zeromodels/stable-diffusion-3-medium/model_00000.weights.h5
-
curl -L -o model_00000.weights.h5 https://huggingface.co/zeromodels/stable-diffusion-3-medium/resolve/main/model_00000.weights.h5
5.37 GB
- Xet hash:
- 902f4e56127d7994a8a12fbfc8b72c57f3b69a87e1593284dcb8368380ea99da
- Size of remote file:
- 5.37 GB
- SHA256:
- 09067f32e1fb140eb66134018b9e71dd0af185dca9edca78c7557e1735d97f6f
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