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
File size: 546 Bytes
03d8053 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | 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__)
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