1,000 models · refreshed nightly
Models that run on RTX 4070 · 16 GB
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 | On RTX 4070 · 16 GB |
|---|---|---|---|---|---|---|
| 501 | indictrans2-en-indic-dist-200M | 270 M | — | ✓ mit | 191 K | 1.7 GB |
| 502 | IP-Adapter-FaceID | — | — | unknown | 185 K | 1.5 GB |
| 503 | nllb-200-3.3B | 3.3 B | 1 K | ✗ cc-by-nc-4.0 | 179 K | 8.3 GB |
| 504 | opus-mt-tc-big-tr-en | 230 M | 1 K | ✓ cc-by-4.0 | 155 K | 1.1 GB |
| 505 | LCM_Dreamshaper_v7 | 860 M | — | ✓ mit | 141 K | 10.4 GB |
| 506 | nova-furry-xl-il-v120-sdxl | 2.6 B | — | other | 138 K | 8.5 GB |
| 507 | opus-mt-tc-big-ko-en | 210 M | 1 K | ✓ cc-by-4.0 | 136 K | 1.0 GB |
| 508 | stable-diffusion-inpainting | — | — | ⚠ creativeml-openrail-m | 126 K | 3.5 GB |
| 509 | controlnet-union-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 118 K | 6.2 GB |
| 510 | controlnet-openpose-sdxl-1.0 | 1.3 B | — | ✓ apache-2.0 | 109 K | 6.2 GB |
| 511 | mbart-large-en-ro | 610 M | 1 K | ✓ mit | 102 K | 1.9 GB |
| 512 | Hy-MT2-1.8B | 2.0 B | 262 K | ✓ apache-2.0 | 96 K | 5.3 GB |
| 513 | Wan2.2-I2V_General-NSFW-LoRA | — | — | unknown | 93 K | 1.8 GB |
| 514 | lcm-lora-sdv1-5 | — | — | ⚠ openrail++ | 93 K | 0.6 GB |
| 515 | nllb-200-1.3B | 1.3 B | 1 K | ✗ cc-by-nc-4.0 | 93 K | 3.6 GB |
| 516 | Z-Image-Turbo-FP8 | — | — | ✓ apache-2.0 | 92 K | 14.0 GB |
| 517 | amanatsu-illustrious-v11-sdxl | 2.6 B | — | other | 91 K | 8.5 GB |
| 518 | janku-v5-nsfw-trained-noobai-rou-wei-illustrious-xl-v50-sdxl | 2.6 B | — | other | 88 K | 8.5 GB |
| 519 | dreamshaper-8 | 860 M | — | ⚠ creativeml-openrail-m | 87 K | 9.7 GB |
| 520 | one-obsession-17-red-sdxl | 2.6 B | — | other | 86 K | 8.5 GB |
| 521 | mbart-large-50-many-to-many-mmt | 610 M | 1 K | unknown | 85 K | 3.3 GB |
| 522 | girlslike-krea2 | 12.8 B | — | ✓ apache-2.0 | 84 K | 7.3 GB |
| 523 | T5-base-10K-summarization | 220 M | — | unknown | 84 K | 1.5 GB |
| 524 | FLUX.2-klein-4B-mflux-4bit | — | — | ✓ apache-2.0 | 82 K | 5.6 GB |
| 525 | diving-illustrious-real-asian-v50-sdxl | 2.6 B | — | other | 79 K | 8.5 GB |
| 526 | sd-xl-alternative-bases | — | — | ⚠ openrail++ | 73 K | 15.9 GB |
| 527 | controlnet-openpose-sdxl-1.0 | — | — | other | 69 K | 6.9 GB |
| 528 | ideogram-4-gguf | 9.3 B | — | other | 69 K | 8.1 GB |
| 529 | waiIllustriousSDXL_v170 | — | — | cdla-permissive-2.0 | 68 K | 8.1 GB |
| 530 | Z-Image-GGUF | — | — | ✓ apache-2.0 | 66 K | 4.9 GB |
| 531 | obsession-illustriousxl-v10-sdxl | 2.6 B | — | other | 63 K | 8.5 GB |
| 532 | Realistic_Vision_V6.0_B1_noVAE | — | — | ⚠ creativeml-openrail-m | 62 K | 14.6 GB |
| 533 | sarvam-translate | 4.3 B | — | gpl-3.0 | 61 K | 10.6 GB |
| 534 | Krea-2-Turbo-GGUF | — | — | other | 60 K | 5.9 GB |
| 535 | madlad400-3b-mt | 2.9 B | — | ✓ apache-2.0 | 59 K | 2.8 GB |
| 536 | flux-ip-adapter | — | — | other | 58 K | 1.6 GB |
| 537 | InstantID | — | — | ✓ apache-2.0 | 58 K | 3.3 GB |
| 538 | Flux2-Klein-9B-True-V3 | — | — | ✓ apache-2.0 | 56 K | 6.8 GB |
| 539 | Z-Image-Turbo-GGUF | — | — | ✓ apache-2.0 | 56 K | 3.4 GB |
| 540 | girlslike-zimage | 6.2 B | — | ✓ apache-2.0 | 55 K | 8.2 GB |
| 541 | text_summarization | 60 M | — | ✓ apache-2.0 | 54 K | 0.8 GB |
| 542 | financial-summarization-pegasus | 570 M | 512 | unknown | 52 K | 3.1 GB |
| 543 | Qwen-Image-gguf | — | — | ✓ apache-2.0 | 51 K | 8.3 GB |
| 544 | prefect-illustrious-xl-v3-sdxl | 2.6 B | — | other | 50 K | 8.5 GB |
| 545 | FLux_Klein_9B_NSFW | — | — | ✓ apache-2.0 | 48 K | 0.7 GB |
| 546 | Chroma-GGUF | — | — | ✓ apache-2.0 | 48 K | 6.0 GB |
| 547 | dvine82-xl | 2.6 B | — | unknown | 47 K | 8.5 GB |
| 548 | lcm-lora-sdxl | — | — | ⚠ openrail++ | 43 K | 0.9 GB |
| 549 | hassaku-xl-illustrious-v31-sdxl | 2.6 B | — | other | 43 K | 8.5 GB |
| 550 | stable-diffusion-2-1-base-custom | — | — | ⚠ creativeml-openrail-m | 42 K | 3.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.