TencentImage model
HunyuanImage 3.0 Instruct Distil
n/aUser voteshigher is better
n/aour own rating0 to 100
n/aper imagelower is better
31out of 100first value
Summary
HunyuanImage 3.0 Instruct Distil is an image model from Tencent. The official model matrix recommends eight sampling steps; the weights occupy 169 GB.
Popularity compared
How often the model is searched for, used and mentioned, compared with every model of its category.
Popularity index
The 100 most popular models of this category, 0 to 100, higher is more popular
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As of November 2026 · Source: gradually.ai popularity index
Over time
First value from November 2, 2026. The timeline appears from the second week.
Head-to-head comparisons
Show all comparisons (139)
All specifications
Architecture
Licence and access
Further details
- Checkpoint
- tencent/HunyuanImage-3.0-Instruct-Distil, a separate distilled Instruct checkpoint.
- Source: Checkpoint
- Inference
- The official model matrix recommends eight sampling steps; weights occupy 169 GB.
- Source: Inference
- Hardware and access
- Inference is listed as requiring at least eight GPUs with 80 GB each. The card lists no hosted inference provider.
- Source: Hardware and access
- Prompt handling
- For verbatim prompts, set `bot_task=image` and `use_system_prompt=None`. The default `think_recaption` reasons and rewrites.
- Source: Prompt handling
- License metadata
- The model card classifies its license as `other`; review the attached Tencent license terms before use.
- Source: License metadata
- Comparison boundary
- The Distil checkpoint is distinct from the already evaluated Instruct checkpoint; do not transfer its scores.
- Source: Comparison boundary
Sources and data date
| Type | Evidence and data date |
|---|---|
| Additional source | Tencent (retrieved November 1, 2026) · Tencent · Editorial description reviewed November 1, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Ollama: cumulative downloads for the popularity index |
| Additional source | Replicate: cumulative runs for the popularity index |
| Additional source | Google Trending Now: limited feed selection for Germany and the US |
| Additional source | Creative Commons Attribution 4.0 |