Text-to-Image
Transformers
Safetensors
Hunyuan
text-generation
hunyuan
quantization
nf4
comfyui
custom-nodes
autoregressive
DiT
HunyuanImage-3.0
bitsandbytes
4bit
custom_code
4-bit precision
Instructions to use dong16/HunyuanImage-3-NF4-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dong16/HunyuanImage-3-NF4-v2 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("dong16/HunyuanImage-3-NF4-v2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4c46e23610f90135843f2b4e0c9ef9b6596e7803dafa8cced025bb267b52126
- Size of remote file:
- 25 MB
- SHA256:
- f804f2be631f905a30f98f89c141abe1bbd3f916e1cda1e1563bb5dccd347b52
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