AI Model Hub

Browse AI models for multimodal decomposition and recomposition pipelines — plug any model into your extractors.

14,578 models available

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Showing 12385–12408 of 14,578 models

Unconditional Image Generation

Apocalypse-19/ddpm-celebahq-fintuned-vintage-faces

diffusers

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Object Detection

Nihil-Drf/FathomNet-2026-4thplace-Model

ultralytics

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Image Feature Extraction

belfner/unireplknet_l.in22k

timm

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Text To Audio

YJX-Xiaomi/ControlFoley

diffusers

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Text To Audio

NishaPrem/speecht5_finetuned_tamil_voice

transformers

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Text To Audio

Olivia111/speecht5_finetuned_en64_lr301

transformers

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Object Detection

che8891/YOLOv8

ultralytics

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Text To Audio

FunAudioLLM/InspireMusic-1.5B-Long

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Text To Audio

smartdigitalnetworks/SongGeneration-v2-large-mlx

mlx

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Unconditional Image Generation

akaneko29/sd-class-butterflies-32

diffusers

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Text To Audio

EnderArcane-Studio/Ace-Step1.5

transformers

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Unconditional Image Generation

parkeychen/sd-class-butterflies-32

diffusers

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Unconditional Image Generation

HanxiangLi666/sd-class-butterflies-32

diffusers

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Tabular Regression

NeerajCodz/aiBatteryLifeCycle

keras

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Image Feature Extraction

OpenGVLab/InternViT-6B-448px-V1-2

transformers

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Image Feature Extraction

r3gm/controlnet-union-sdxl-1.0-fp16

diffusers

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Image Feature Extraction

birder-project/rope_i_vit_reg1_b16_pn_npn_avg_c1_pe-spatial

birder

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Image Feature Extraction

timm/vit_large_patch16_siglip_gap_384.v2_webli

timm

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Image Feature Extraction

dayyass/trocr-base-handwritten-vit-encoder

transformers

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Text To Audio

AddisuSeteye/speecht5_tts_amharic2

transformers

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Text To Audio

eustlb/higgs-v2-archive

transformers

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Text To Audio

LeeAeron/acestep-v15-sft

transformers

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Image Feature Extraction

timm/vit_so400m_patch16_siglip_gap_256.v2_webli

timm

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Image Feature Extraction

facebook/sapiens-pretrain-2b-torchscript

sapiens

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Full changelog

Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models — plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.