Updated 2026-11-10 · 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 | Flux-2-Klein-4B | 4.0 B | — | ✓ apache-2.0 | 1.3 M | from 31.6 GB |
| 02 | Z-Image-Turbo-GGUF +6 variants | 6.2 B | — | ✓ apache-2.0 | 963 K | from 4.0 GB |
| 03 | Qwen-Image-2.1-Turbo-Uncensored-GGUF +1 variant | 8.8 B | — | ✓ apache-2.0 | 761 K | from 5.5 GB |
| 04 | Qwen-Image-2512-GGUF | 20.4 B | — | ✓ apache-2.0 | 420 K | from 12.1 GB |
| 05 | Z-Image-Lora +2 variants | 6.2 B | — | ✓ apache-2.0 | 336 K | from 118.0 GB |
| 06 | Flux-1-Schnell | 11.9 B | — | ✓ apache-2.0 | 325 K | from 47.4 GB |
| 07 | Qwen-Image +4 variants | 20.4 B | — | ✓ apache-2.0 | 325 K | from 67.0 GB |
| 08 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 285 K | from 6.2 GB |
| 09 | FLUX.1-schnell +3 variants | 11.9 B | — | ✓ apache-2.0 | 278 K | from 65.9 GB |
| 10 | Qwen-Image-Lightning | 20.4 B | — | ✓ apache-2.0 | 246 K | from 75.6 GB |
| 11 | Z-Image-GGUF | 6.2 B | — | ✓ apache-2.0 | 224 K | from 4.0 GB |
| 12 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 208 K | from 6.2 GB |
| 13 | FLUX.2-klein-4B-GGUF | — | — | ✓ apache-2.0 | 182 K | from 3.2 GB |
| 14 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 156 K | from 10.4 GB |
| 15 | MOSS-Image-SFT-GGUF | — | — | ✓ apache-2.0 | 134 K | from 3.6 GB |
| 16 | ERNIE-Image | 8.0 B | — | ✓ apache-2.0 | 127 K | from 53.5 GB |
| 17 | NetaYume-Lumina-Image-2.0 | — | — | ✓ apache-2.0 | 112 K | from 99.5 GB |
| 18 | HiDream | — | — | ✓ mit | 107 K | from 262.9 GB |
| 19 | z-image-turbo-nsfw-v2-GGUF | — | — | ✓ apache-2.0 | 105 K | from 8.4 GB |
| 20 | Krea2_NSFW_Uncensored_Complete | 12.8 B | — | ✓ apache-2.0 | 99 K | from 22.9 GB |
| 21 | Qwen-Image-2512-Lightning | 20.4 B | — | ✓ apache-2.0 | 95 K | from 121.8 GB |
| 22 | FLUX.2-klein-4B-mflux-4bit | — | — | ✓ apache-2.0 | 80 K | from 5.6 GB |
| 23 | nunchaku-qwen-image-edit | — | — | ✓ apache-2.0 | 79 K | from 162.9 GB |
| 24 | InstantID | — | — | ✓ apache-2.0 | 79 K | from 3.3 GB |
| 25 | Chroma-GGUF | — | — | ✓ apache-2.0 | 78 K | from 6.0 GB |
Membership and ranking refresh nightly after the snapshot run. VRAM is an estimate for the smallest quantization at 8K context — methodology.