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:
- 4d3d85a0eba6ef0d6e3101fe3c086eee221e4797967452bbd4d7df3af2bdff05
- Size of remote file:
- 4.99 GB
- SHA256:
- 3f6f50b9a981d4d32cbb38b5cd199374fb169fef24aed9ad2554f3e1b4a86b99
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