Updated 2026-08-06 · ranked by real download data
Commercial-use image models
Ranked nightly from our download snapshots of the Hugging Face catalog. Every entry shows its licence and what hardware it realistically needs.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 1.1 M | from 37.5 GB |
| 02 | Qwen-Image-Lightning | — | — | ✓ apache-2.0 | 438 K | from 72.6 GB |
| 03 | FLUX.1-schnell | 11.9 B | — | ✓ apache-2.0 | 224 K | from 65.9 GB |
| 04 | Z-Image-Lora | — | — | ✓ apache-2.0 | 208 K | from 106.7 GB |
| 05 | Qwen-Image | 20.4 B | — | ✓ apache-2.0 | 203 K | from 67.0 GB |
| 06 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 127 K | from 4.9 GB |
| 07 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 120 K | from 10.4 GB |
| 08 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 100 K | from 6.2 GB |
| 09 | HiDream-I1-Fast | 17.1 B | — | ✓ mit | 91 K | from 55.0 GB |
| 10 | sdxl-turbo | — | — | ✓ apache-2.0 | 80 K | from 15.8 GB |
| 11 | nunchaku-qwen-image-edit | — | — | ✓ apache-2.0 | 77 K | from 162.9 GB |
| 12 | Qwen-Image-2512-GGUF | — | — | ✓ apache-2.0 | 77 K | from 8.6 GB |
| 13 | Qwen-Image-2512 | 20.4 B | — | ✓ apache-2.0 | 73 K | from 67.0 GB |
| 14 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 72 K | from 6.2 GB |
| 15 | Qwen-Image-2512-Lightning | — | — | ✓ apache-2.0 | 69 K | from 118.7 GB |
| 16 | Z-Image-Turbo-FP8 | — | — | ✓ apache-2.0 | 59 K | from 14.0 GB |
| 17 | Chroma1-HD | 8.9 B | — | ✓ apache-2.0 | 57 K | from 51.7 GB |
| 18 | InstantID | — | — | ✓ apache-2.0 | 57 K | from 3.3 GB |
| 19 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 52 K | from 4.5 GB |
| 20 | FLux_Klein_9B_NSFW | — | — | ✓ apache-2.0 | 45 K | from 0.7 GB |
| 21 | zimage_turbo_training_adapter | — | — | ✓ apache-2.0 | 44 K | from 1.1 GB |
| 22 | Flux2-Klein-9B-True-V3 | — | — | ✓ apache-2.0 | 41 K | from 6.8 GB |
| 23 | Qwen-Image-gguf | — | — | ✓ apache-2.0 | 39 K | from 8.3 GB |
| 24 | Qwen-Image-Edit-Rapid-AIO-GGUF | — | — | ✓ apache-2.0 | 36 K | from 8.7 GB |
| 25 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 35 K | from 3.4 GB |
Membership and ranking refresh nightly after the snapshot run. VRAM is an estimate for the smallest quantization at 8K context — methodology.