Text-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-BF16Attn-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-BF16Attn-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-MXFP4-BF16Attn-AutoRound", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- assets
- images
- tools
- utils
- 5.38 kB
- 4.59 kB
- 24.4 kB
- 546 Bytes
- 44.1 kB
- 9.46 kB
- 52.9 kB
- 52.9 kB
- 14.3 kB
- 498 Bytes
- 39.5 kB
- 21.1 kB
- 2.34 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.58 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.52 GB xet
- 1.56 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 1.49 GB xet
- 1.5 GB xet
- 4.66 GB xet
- 3.32 GB xet
- 923 kB
- 155 kB