Text-to-Image
Transformers
Safetensors
hunyuan_image_3_moe
text-generation
auto-round
mxfp8
custom_code
8-bit precision
Instructions to use intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP8-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-MXFP8-AutoRound with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP8-AutoRound", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __init__.py from intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP8-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 546 Bytes
-
https://huggingface.co/intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP8-AutoRound/resolve/main/__init__.py
- Command line
-
hf download hf://intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP8-AutoRound/__init__.py
-
curl -L -o __init__.py https://huggingface.co/intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP8-AutoRound/resolve/main/__init__.py
546 Bytes
| from typing import TYPE_CHECKING | |
| from utils import _LazyModule | |
| from utils.import_utils import define_import_structure | |
| if TYPE_CHECKING: | |
| from .configuration_hunyuan_image_3 import * | |
| from .modeling_hunyuan_image_3 import * | |
| from .autoencoder_kl_3d import * | |
| from .image_processor import * | |
| from .siglip2 import * | |
| from .tokenization_hunyuan_image_3 import * | |
| else: | |
| import sys | |
| _file = globals()["__file__"] | |
| sys.modules[__name__] = _LazyModule(__name__, _file, define_import_structure(_file), module_spec=__spec__) | |