Text-to-Image
ZeroModels
Keras
PyTorch
JAX
TensorFlow
English
Chinese
qwen
qwen-image
diffusion
rectified-flow
Instructions to use zeromodels/qwen-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/qwen-image 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/qwen-image") - Keras
How to use zeromodels/qwen-image 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/qwen-image") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zeromodels/qwen-image: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/zeromodels/qwen-image/resolve/main/tokenizer.json
- Command line
-
hf download hf://zeromodels/qwen-image/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zeromodels/qwen-image/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b70b5470afd0473f25ea4b695378d10f0a3696a0014bd6bede16ddebbf810aad
- Size of remote file:
- 11.4 MB
- SHA256:
- 6ae8594f633daa21dc0e04606279856d0ccb8abb64bb7a5a93e72531fb12b9d9
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