1,011 models · refreshed nightly
Text to image models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | stable-diffusion-v1-5 | 860 M | — | ⚠ creativeml-openrail-m | 1.6 M | from 26.6 GB |
| 02 | stable-diffusion-xl-base-1.0 | 2.6 B | — | ⚠ openrail++ | 1.5 M | from 39.7 GB |
| 03 | sdxl-turbo | 2.6 B | — | other | 1.1 M | from 46.7 GB |
| 04 | Z-Image-Turbo | 6.2 B | — | ✓ apache-2.0 | 1.1 M | from 37.5 GB |
| 05 | dreamshaper-7 | 860 M | — | ⚠ creativeml-openrail-m | 895 K | from 9.7 GB |
| 06 | Flux2-Klein-9B-True-V2 | — | — | other | 792 K | from 6.8 GB |
| 07 | sd-turbo | 870 M | — | unknown | 722 K | from 14.9 GB |
| 08 | FLUX.1-dev | 11.9 B | — | other | 547 K | from 66.0 GB |
| 09 | Realistic_Vision_V5.1_noVAE | 860 M | — | ⚠ creativeml-openrail-m | 485 K | from 19.4 GB |
| 10 | stable-diffusion-v1-4 | 860 M | — | ⚠ creativeml-openrail-m | 447 K | from 13.5 GB |
| 11 | Qwen-Image-Lightning | — | — | ✓ apache-2.0 | 438 K | from 72.6 GB |
| 12 | GetphatFLUXRealityNSFW | — | — | unknown | 435 K | from 26.7 GB |
| 13 | playground-v2.5-1024px-aesthetic | 2.6 B | — | other | 359 K | from 46.7 GB |
| 14 | dvine82-xl | 2.6 B | — | unknown | 227 K | from 8.5 GB |
| 15 | DreamShaper | — | — | other | 226 K | from 185.3 GB |
| 16 | FLUX.1-schnell | 11.9 B | — | ✓ apache-2.0 | 224 K | from 65.9 GB |
| 17 | IP-Adapter-FaceID | — | — | unknown | 215 K | from 1.5 GB |
| 18 | animagine-xl-4.0 | 2.6 B | — | ⚠ openrail++ | 215 K | from 23.8 GB |
| 19 | RealVisXL_V5.0 | 2.6 B | — | ⚠ openrail++ | 212 K | from 46.7 GB |
| 20 | Z-Image-Lora | — | — | ✓ apache-2.0 | 208 K | from 106.7 GB |
| 21 | Qwen-Image | 20.4 B | — | ✓ apache-2.0 | 203 K | from 67.0 GB |
| 22 | revanimated | — | — | ⚠ creativeml-openrail-m | 202 K | — |
| 23 | Pony_Diffusion_V6_XL | — | — | cdla-permissive-2.0 | 188 K | from 8.5 GB |
| 24 | novaAnimeXL_ilV140 | 2.6 B | — | unknown | 185 K | from 16.1 GB |
| 25 | Juggernaut-XL-v9 | — | — | ⚠ creativeml-openrail-m | 178 K | from 15.9 GB |
| 26 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 156 K | from 8.5 GB |
| 27 | stable-diffusion-xl-1.0-inpainting-0.1 | 2.6 B | — | ⚠ openrail++ | 155 K | from 23.8 GB |
| 28 | animagine-xl-3.1 | 2.6 B | — | ⚠ openrail++ | 153 K | from 16.1 GB |
| 29 | one-obsession-17-red-sdxl | 2.6 B | — | other | 148 K | from 8.5 GB |
| 30 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 143 K | from 3.5 GB |
| 31 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 141 K | from 9.7 GB |
| 32 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 140 K | from 8.5 GB |
| 33 | juggernaut-reborn | — | — | ⚠ creativeml-openrail-m | 137 K | — |
| 34 | Krea-2-Raw | 12.8 B | — | other | 133 K | from 70.6 GB |
| 35 | Krea-2-Turbo | 12.8 B | — | other | 129 K | from 70.6 GB |
| 36 | FLUX.1-schnell-gguf | — | — | ✓ apache-2.0 | 127 K | from 4.9 GB |
| 37 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 120 K | from 10.4 GB |
| 38 | FLUX.1-dev-gguf | — | — | other | 116 K | from 4.9 GB |
| 39 | SDXL-Lightning | — | — | ⚠ openrail++ | 104 K | from 54.9 GB |
| 40 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 100 K | from 6.2 GB |
| 41 | dreamshaper-xl-lightning | 2.6 B | — | ⚠ openrail++ | 100 K | from 39.0 GB |
| 42 | stable-diffusion-v1-5 | 860 M | — | unknown | 96 K | from 8.3 GB |
| 43 | stable-diffusion-3.5-medium | 2.5 B | — | other | 93 K | from 54.6 GB |
| 44 | RealVisXL_V4.0 | 2.6 B | — | ⚠ openrail++ | 92 K | from 31.4 GB |
| 45 | HiDream-I1-Fast | 17.1 B | — | ✓ mit | 91 K | from 55.0 GB |
| 46 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 84 K | from 8.5 GB |
| 47 | HunyuanDiT-v1.1-Diffusers-Distilled | 1.5 B | — | other | 83 K | from 16.7 GB |
| 48 | sdxl-turbo | — | — | ✓ apache-2.0 | 80 K | from 15.8 GB |
| 49 | nunchaku-qwen-image-edit | — | — | ✓ apache-2.0 | 77 K | from 162.9 GB |
| 50 | Qwen-Image-2512-GGUF | — | — | ✓ apache-2.0 | 77 K | from 8.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.