HunyuanImage-3.0
- January 26, 2026: 🚀 HunyuanImage-3.0-Instruct-Distil - Distilled checkpoint for efficient deployment (8 steps sampling recommended). - January 26, 2026: 🎉 HunyuanImage-3.0-Instruct - Release of Instruct (with reasoning) for intelligent prompt enhancement and Image-to-Image generation for creative editing. - October 30, 2025: 🚀 HunyuanImage-3.0 vLLM Acceleration - Significantly faster inference with vLLM support....
Params
83.0 B
Context
22,800
Downloads 30d
16 K
Likes
1,103
Download history
tracking started — chart appears after 7 days of snapshots (6 recorded)16 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 168.5 GB | 198.3 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 22K ctx | 168.5 GB | 220.5 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- HunyuanImage3ForCausalMM
- Parameters
- 83.0 B
- Tensor type
- BF16
- Context length
- 22,800
- Vocabulary
- 133,120
- Layers / heads
- 32 / 32
- Licence
- other
- First seen on the Hub
- 2025-09-25
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-01
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.