1,423 models · 1,213 open weights · 210 API-only · refreshed nightly
Models that run on RTX 4090 · 24 GB
Every model in the catalog — open weights you can self-host and API-only models — with licence or API price, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | On RTX 4090 · 24 GB |
|---|---|---|---|---|---|---|
| 701 | stable-diffusion-xl-1.0-inpainting-0.1 | 2.6 B | — | ⚠ openrail++ | 94 K | 23.8 GB |
| 702 | FLUX.1-schnell-GGUF | 11.9 B | — | ✓ apache-2.0 | 91 K | 6.7 GB |
| 703 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 90 K | 8.5 GB |
| 704 | Qwen-Image-2.1-Turbo-Quantized | — | — | other | 90 K | 5.0 GB |
| 705 | noobai-XL-Vpred-1.0 | 2.6 B | — | other | 88 K | 16.3 GB |
| 706 | Anima-2.9B | — | — | other | 86 K | 10.3 GB |
| 707 | T5-base-10K-summarization | 220 M | — | unknown | 84 K | 1.5 GB |
| 708 | noobai-XL-1.0 | 2.6 B | — | other | 83 K | 16.1 GB |
| 709 | FLUX.2-klein-4B-mflux-4bit | — | — | ✓ apache-2.0 | 80 K | 5.6 GB |
| 710 | InstantID | — | — | ✓ apache-2.0 | 79 K | 3.3 GB |
| 711 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 79 K | 8.5 GB |
| 712 | LFM3-1.7B | 1.7 B | 262 K | other | 79 K | 4.6 GB |
| 713 | Chroma-GGUF | — | — | ✓ apache-2.0 | 78 K | 6.0 GB |
| 714 | dvine82-xl | 2.6 B | — | unknown | 77 K | 8.5 GB |
| 715 | Index-Translate-9B-GGUF | 9.0 B | — | ✓ apache-2.0 | 76 K | 6.2 GB |
| 716 | controlnet-canny-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 75 K | 6.2 GB |
| 717 | Qwen-Image-2.1-Turbo-GGUF | — | — | other | 75 K | 3.2 GB |
| 718 | sd-xl-alternative-bases | — | — | ⚠ openrail++ | 73 K | 15.9 GB |
| 719 | Z-Image-Turbo-FP8 | — | — | ✓ apache-2.0 | 72 K | 14.0 GB |
| 720 | novaAnimeXL_ilV140 | 2.6 B | — | unknown | 72 K | 16.1 GB |
| 721 | Qwen-Image-gguf | — | — | ✓ apache-2.0 | 71 K | 8.3 GB |
| 722 | controlnet-openpose-sdxl-1.0 | — | — | other | 70 K | 6.9 GB |
| 723 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 70 K | 4.7 GB |
| 724 | Ministral-3-3B-Instruct-2512 | 3.8 B | — | ✓ apache-2.0 | 66 K | 11.4 GB |
| 725 | stable-diffusion-v1-5-GGUF | — | — | ⚠ creativeml-openrail-m | 66 K | 2.2 GB |
| 726 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 65 K | 9.7 GB |
| 727 | controlnet-depth-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 64 K | 3.4 GB |
| 728 | AWPainting-v1-2 | 860 M | — | ⚠ creativeml-openrail-m | 64 K | 15.0 GB |
| 729 | mbart-large-50-many-to-many-mmt | 610 M | 1 K | unknown | 63 K | 3.3 GB |
| 730 | sarvam-translate | 4.3 B | — | gpl-3.0 | 61 K | 10.6 GB |
| 731 | flux-3-image-klein-GGUF | — | — | unknown | 61 K | 3.0 GB |
| 732 | MEETING_SUMMARY | 410 M | 1 K | ✓ apache-2.0 | 61 K | 2.3 GB |
| 733 | Lusty_Krea-2_NSFW | 12.8 B | — | other | 61 K | 11.6 GB |
| 734 | Qwen-Image-2.1-Turbo-Uncensored-GGUF | 8.8 B | — | ✓ apache-2.0 | 60 K | 5.5 GB |
| 735 | majicMIX_realistic_v7 | 860 M | — | other | 60 K | 12.0 GB |
| 736 | granite-4.2-8b | 8.8 B | 131 K | ✓ apache-2.0 | 60 K | 21.2 GB |
| 737 | Qwen-Image-2.1-Uncensored-Abenzerps-GGUF | 7.1 B | — | other | 59 K | 6.1 GB |
| 738 | animagine-xl-3.0 | 2.6 B | — | ⚠ openrail++ | 59 K | 16.1 GB |
| 739 | one-obsession-17-red-sdxl | 2.6 B | — | other | 57 K | 8.5 GB |
| 740 | HY-MT1.5-1.8B-GGUF | 1.8 B | — | unknown | 56 K | 2.0 GB |
| 741 | Anima-LLLite | — | — | other | 56 K | 0.8 GB |
| 742 | FLUX.1-dev-GGUF | 11.9 B | — | other | 55 K | 6.7 GB |
| 743 | controlnet-canny-sdxl-1.0 | 1.3 B | — | ⚠ openrail++ | 55 K | 8.9 GB |
| 744 | FLUX-3-Image-Klein_GGUFs | — | — | unknown | 55 K | 4.2 GB |
| 745 | controlnet-tile-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 53 K | 3.4 GB |
| 746 | financial-summarization-pegasus | 570 M | 512 | unknown | 52 K | 3.1 GB |
| 747 | Juggernaut-X-v10 | — | — | ⚠ creativeml-openrail-m | 52 K | 8.3 GB |
| 748 | Sugoi-32B-Ultra-GGUF | — | — | ✓ apache-2.0 | 50 K | 14.0 GB |
| 749 | indictrans2-en-indic-1B | 1.1 B | — | ✓ mit | 48 K | 5.6 GB |
| 750 | Nemotron-3.5-Content-Safety | 4.3 B | — | other | 45 K | 10.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.