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 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 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("EricRollei/HunyuanImage-3.0-Instruct-Distil-INT8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "HunyuanImage-3.0-Instruct-Distil", | |
| "quantization_method": "bitsandbytes_int8", | |
| "load_in_8bit": true, | |
| "llm_int8_threshold": 6.0, | |
| "expected_vram_gb": 18, | |
| "expected_total_memory_gb": 20, | |
| "total_params": "80B", | |
| "active_params": "13B (MoE)", | |
| "modules_kept_bf16": [ | |
| "vae", | |
| "vision_model", | |
| "vision_aligner", | |
| "patch_embed", | |
| "final_layer", | |
| "time_embed", | |
| "time_embed_2", | |
| "timestep_emb", | |
| "guidance_emb", | |
| "timestep_r_emb", | |
| "attention_projections" | |
| ], | |
| "distil_features": { | |
| "cfg_distilled": true, | |
| "meanflow": true, | |
| "description": "Single-step CFG-free generation with meanflow" | |
| }, | |
| "notes": "Distilled Instruct model - fast inference, single GPU friendly.", | |
| "attention_layers_quantized": false, | |
| "quality_vs_nf4": "Better quality than NF4 with reasonable memory" | |
| } |