NEWMVS for embeddings. Managed for files. Both on object storage.Vectors or files. Pick a path.Start →

Start here

Vector Store (MVS)

Bring your own vectors. Dense, sparse, and BM25 search on object storage.

Managed Indexing

Connect a bucket and auto-extract scenes, faces, OCR, transcripts, and embeddings.

Build

Compose multi-stage search in <100ms: filter, join, rerank.

Feature Extractors

Typed pipelines for faces, scenes, transcripts, OCR, fingerprints.

S3, GCS, R2, Mux, LangChain, MCP, and more. Connect your stack.

Generate and store embeddings from 50+ models, then search them.

By Industry

Map, search, and reuse the moments that perform. Plugs into iconik & Mux.

Talent search, brand safety, creative analytics.

Scene search, recommendation, archive access.

Visual search, PDP enrichment, catalog QA.

Lecture search, transcript Q&A, content safety.

View all solutions →

By Use Case

Face & Person Search

Find anyone across video libraries in milliseconds.

IP & Copyright Detection

Logos, songs, faces: one pipeline, one report.

Visual Taste & Recs

Scene-similarity ranked recommendations with RL.

Brand & Ad Safety

Pre-publish content screening at bid-time speeds.

View all use cases →

Build & evaluate

API reference, SDKs, recipes, and architecture guides.

Browse supported HuggingFace models by task and modality.

Mixpeek vs. Pinecone, Weaviate, Twelve Labs, more.

Media & data converters: no account, runs in your browser.

See what teams are building with Mixpeek.

Learn

Best-of comparisons: vector DBs, embedding models, moderation APIs.

Vendor-neutral deep dives on perception, retrieval, and embeddings.

Launches, deep dives, and field notes from our engineers.

Papers behind multimodal search (MUVERA, SAM 3, and more) explained.

Every term you need: embeddings to re-rankers.

Videos, diagrams & university →

Mission, team, and the multimodal vision.

We're hiring across research, infra, and design.

Talk to sales, support, or press.

45-min working session on your data: leave with a running notebook.

Sign in Request Demo Get started →

Text To Image Models

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

99 models available

Run models on your own files, free Schedule Demo Read Documentation

Showing 49-72 of 99 models

Text To Image

Qwen/Qwen-Image-2512

79K

794

diffusers

Text To Image

SG161222/RealVisXL_V5.0

72K

150

diffusers

Text To Image

John6666/hassaku-xl-illustrious-v31-sdxl

67K

1

diffusers

Text To Image

kpsss34/FHDR_Uncensored

64K

434

diffusers

Text To Image

city96/FLUX.1-schnell-gguf

63K

319

gguf

Text To Image

optimum-intel-internal-testing/tiny-random-sana

62K

diffusers

Text To Image

stabilityai/stable-diffusion-3-medium-diffusers

62K

445

diffusers

Text To Image

Lykon/DreamShaper

57K

1,004

diffusers

Text To Image

unsloth/Qwen-Image-2512-GGUF

55K

343

Text To Image

HiDream-ai/HiDream-I1-Fast

54K

104

diffusers

Text To Image

latent-consistency/lcm-lora-sdv1-5

53K

523

diffusers

Text To Image

tianweiy/DMD2

53K

236

diffusers

Text To Image

lzyvegetable/FLUX.1-schnell

52K

1

diffusers

Text To Image

stabilityai/stable-diffusion-3.5-large

52K

3,442

diffusers

Text To Image

SG161222/RealVisXL_V4.0

51K

289

diffusers

Text To Image

ostris/zimage_turbo_training_adapter

51K

133

diffusers

Text To Image

city96/Qwen-Image-gguf

48K

289

gguf

Text To Image

Lykon/dreamshaper-8

48K

102

diffusers

Text To Image

unsloth/Z-Image-Turbo-GGUF

47K

146

ggml

Text To Image

unsloth/ERNIE-Image-Turbo-GGUF

47K

194

ggml

Text To Image

Manojb/stable-diffusion-2-1-base

47K

45

diffusers

Text To Image

ByteDance/Hyper-SD

47K

1,336

diffusers

Text To Image

lovis93/testllm

43K

8

diffusers

Text To Image

tarn59/pixel_art_style_lora_z_image_turbo

43K

34

diffusers

3 / 5

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Retrievers

What's new in models

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.