Text-to-Image
Transformers
Safetensors
Hunyuan
text-generation
hunyuan
quantization
int8
comfyui
custom-nodes
autoregressive
DiT
HunyuanImage-3.0
instruct
image-editing
bitsandbytes
distilled
custom_code
8-bit precision
Instructions to use EricRollei/HunyuanImage-3.0-Instruct-Distil-INT8-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricRollei/HunyuanImage-3.0-Instruct-Distil-INT8-v2 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("EricRollei/HunyuanImage-3.0-Instruct-Distil-INT8-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9dbd1030e9583a8f9b56300c1738bc948ef581d4e2a134231a06fdf7f50a2b0
- Size of remote file:
- 4.99 GB
- SHA256:
- ba652427eb20d5fbb6aeade343e64b0d83a61dddba5e09344f5b0071d1233b18
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