Image-to-Image
Transformers
Safetensors
hunyuan_image_3_moe
text-generation
auto-round
mxfp4
custom_code
8-bit precision
Instructions to use intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-AutoRound with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-image" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-image", model="intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-AutoRound", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-AutoRound", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-AutoRound / utils /__pycache__ /import_utils.cpython-311.pyc
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