Text-to-Image
Transformers
Safetensors
hunyuan_image_3_moe
text-generation
image-generation
int8
quantized
bitsandbytes
hunyuan
custom_code
8-bit precision
Instructions to use jamesw767/HunyuanImage-3-Instruct-Distil-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesw767/HunyuanImage-3-Instruct-Distil-INT8 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("jamesw767/HunyuanImage-3-Instruct-Distil-INT8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf9c03e4ef34a18f2cbe429947503662415dc59d12972911057eeaffe0e7a70f
- Size of remote file:
- 25 MB
- SHA256:
- c2439418b9be76a54d8b5ff1ed89b37e36ec1735730f7da99b5aabb83a73db64
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