Image generationRU2022–2026
Sber (Kandinsky Lab) · Russia
Sber's Russian family of image and video generation models. Understands Russian-language prompts and Russian cultural context well; released under MIT. The new Kandinsky S2V 1.0 (Avatar, MIT) animates a person from a single frame to a speech recording: the whole figure moves, with expressions and gestures, in clips of up to a minute. Pro (HD) and Lite (SD, runs on a home graphics card) versions; it was trained on more than a million fragments in 95 languages.
- Images from Russian-language descriptions
- Short promo videos from text or a photo
- Instruction-based image editing
- Sizes
- 2B – 21B
- Hardware
- from: 1 GPU
Video2026
Pika Labs · USA
A Pika video model built on the open MiniMax H3 weights: it makes video with stereo sound at once in six steps and takes up to 12 reference materials (images, video, audio) that set the shot direction. Two adapters: FL2VA for text and the first and last frames, Ref2VA for reference materials. Locally it runs at 480p and 768p, while 1080p, 2K and 4K, audio stems and prompt enhancement are available only through the paid Pika API. It suits multi-shot stories, motion graphics and product films. The license inherits the MiniMax H3 terms and does not apply in the EU, the UK, South Korea and the USA, which has to be checked before use. Running it needs server-grade graphics cards.
- ads and product films with ready sound
- animation from reference images and video, multi-shot stories
- motion graphics and title sequences
- Sizes
- 33B (a fine-tune of MiniMax H3, adapters)
- Hardware
- from: Cluster
Video2026
MiniMax · China
Open weights of MiniMax's Hailuo video model. A large 33B model that makes video from text and images, but needs several server GPUs. The license does not apply in the European Union, the United Kingdom, South Korea and the USA. The October fine-tune of these weights is Pika H3 Flex.
- Cinematic ad videos
- Video from text and images
- Complex scenes with motion
- Sizes
- 33B + 32B encoder
- Hardware
- from: Cluster
Image generation2026
Bria AI · Israel
A family of Bria image models: Fibo 2.0 dev draws from text, Fibo 2.0 edit turbo edits finished images from a description. According to the authors' paper, the model was trained on very detailed structured descriptions so that it follows a long brief better. The weights are free only for non-commercial work: advertising and sales need a separate Bria license. There are ready files for ComfyUI, including ones compressed to int8. The languages of prompts are not stated on the card.
- creating pictures from a detailed description for tests and prototypes
- editing finished pictures with a text command
- research and personal projects without commerce
- Sizes
- not stated (the bundle includes a Qwen3-VL 4B text encoder)
- Hardware
- from: 1 GPU
Text2026
jialinyyzz (sgaofen) · not stated
A 12B model that rewrites drafts written by AI so that they read like a person wrote them: emails, essays, reports, forum posts. It is trained to keep every number, unit, date, name and quote and to add nothing. It runs on your own computer; there is a ready app for Mac and Windows that works offline, and GGUF files of different compression for llama.cpp. Stated languages: English and Chinese, Russian is not stated. By the author's measurements, the Originality.ai detector judged 95% of the English rewrites human. The result still has to be read through, especially numbers and names.
- rewriting drafts of emails and reports so that they sound more natural
- editing texts after AI without losing numbers, dates and quotes
- local processing of texts that must not be sent to the cloud
- Sizes
- 12B
- Hardware
- from: Laptop
Image generation2026
OpenMOSS · China
A text-to-image model. It takes an ordinary description, sets of tags and a JSON layout in which you can set where a caption stands and how objects are arranged. It renders text in English and Chinese well. Base and fine-tuned (SFT) versions exist, and it plugs into ComfyUI. It uses a text encoder based on Qwen3.5-9B and the FLUX.2 decoder. The community is already fine-tuning it: Kromoss (lodestones) removes the blurriness of the base version, is a drop-in replacement for SFT and comes with an 8-step speed-up LoRA.
- banners and covers with captions
- infographics and posters with a given layout
- pictures for product cards
- Sizes
- about 5B
- Hardware
- from: 1 GPU
Image generationGGUF2024–2026
Black Forest Labs · Germany
Image generation from the creators of Stable Diffusion. Renders text in images well and keeps the composition. The new FLUX.3 Image Klein (5.6B) targets ordinary graphics cards: up to 4K at once, regional editing, up to ten references; access to the weights is granted automatically after signing in on Hugging Face.
- Images for product cards
- Banners and covers
- Photo editing by description (Kontext)
- Sizes
- 4B – 32B
- Hardware
- from: 1 GPU
Video2026
Fudan University, Tencent Hunyuan and Zhejiang University · China
Creates video together with sound: from a first frame and a description you get a clip with speech, effects and music. Native generation at 720p, 1080p and 2K is stated. In the third-party FreeVideo build (1280 by 720, 8.5 seconds) it runs on one RTX 30, 40 or 50 series card with 12 GB or more, but it will not be fast.
- animating a picture into a clip with sound
- ad and training videos with voice-over
- prototypes of scenes for video and animation
- Sizes
- not stated on the card (based on MOVA-360p)
- Hardware
- from: 1 GPU
Image generation2026
Sperid Labs · not stated
Generates images directly in pixels, without a compressed latent space. After fine-tuning, the same weights estimate depth from a single photo and restore and upscale images 4 times. Prompts are in English, the default size is 1024 by 1024.
- generating images from a description
- estimating scene depth from a single photo
- restoring and upscaling old or compressed photos
- Sizes
- 3B
- Hardware
- from: 1 GPU
Image generationGGUF2025–2026
Alibaba · China
Image generation and editing, including text in images. Earlier versions allow commercial use; the latest 2.1 is non-commercial only.
- Infographics for product cards
- Photo editing by text command
- Ad creatives
- Sizes
- 7B – 20B
- Hardware
- from: 1 GPU
TextRUOllama2024–2026
Cohere Labs · Canada
Multilingual models from Cohere's research arm, covering 23 to 100+ languages. Tiny Aya (2026, 3.3B) runs on a regular PC, but for non-commercial use only.
- Translation and correspondence in less common languages
- Multilingual chat assistant
- Analysis of images with text (Vision)
- Sizes
- 3.3B – 35B
- Hardware
- from: Laptop
Music and sound2026
HeartMuLa Team · not disclosed
An open model for generating songs with vocals in Chinese, English, Japanese, Korean and Spanish, plus a codec and a lyrics transcription model.
- Songs and jingles from lyrics
- Music for videos
- Transcribing song lyrics
- Sizes
- 3B
- Hardware
- from: 1 GPU
Deepfake detection2023–2026
Adobe Research and University of Surrey · USA
An image watermark for arbitrary resolutions built for the Content Authenticity Initiative: it can both apply a mark and remove one. The detector errs in both directions - a human reviews the output.
- Marking images on the way out of your own pipeline
- Checking the provenance of a submitted image
- Linking with content provenance metadata
- Sizes
- model types Q and P with different mark capacity
- Hardware
- from: Laptop
Speech to textRUGGUF2025–2026
Microsoft · USA
Microsoft speech models: long multi-voice dialogue synthesis, fast synthesis for live conversation, and recognition of long recordings split by speaker, including in Russian.
- Transcribing long meetings with speaker labels
- Voicing podcasts and dialogues
- Real-time voice for assistants
- Sizes
- 0.5B – 9B
- Hardware
- from: Laptop
Music and soundGGUF2025–2026
M-A-P and HKUST · China
Generates full songs with vocals and accompaniment from lyrics and a style description: English, Chinese, Japanese, Korean.
- Songs and jingles from lyrics
- Demo versions of tracks
- Music for videos
- Sizes
- 0.5B – 7B
- Hardware
- from: 1 GPU
Deepfake detection2025–2026
University of Michigan · USA
A lightweight detector of generated images, trained on 2.7M samples from nearly 5000 different generators. It errs in both directions: the result is a reason for a human to check, not proof.
- Checking submitted photos and illustrations
- Filtering AI images in a content flow
- Flagging suspicious images for manual review
- Sizes
- 22M
- Hardware
- from: Laptop
Text to speechGGUF2025–2026
bilibili · China
Speech synthesis with voice cloning and precise duration control, handy for video dubbing. Controls emotion separately from timbre.
- Video dubbing matched to timing
- Voice cloning
- Emotional voiceover
- Sizes
- about 1B – 2B
- Hardware
- from: Laptop
VideoGGUF2025–2026
Sand AI · China
Video generated chunk by chunk in sequence, so a clip can be extended indefinitely. MAGI-2 produces video with sound.
- Long videos with continuation
- Video with sound
- Animating images
- Sizes
- 4.5B – 114B-A6B
- Hardware
- from: 1 GPU
Video2025–2026
NVIDIA · USA
NVIDIA's lightweight, fast video model. Produces 720p clips on a single GPU; a 4-step version enables quick generation.
- Quick clips for social media
- Bulk video generation
- Video from an image
- Sizes
- 2B – 5B
- Hardware
- from: 1 GPU
Deepfake detection2023–2026
University of Wisconsin-Madison · USA
An early and still used approach: a simple classifier trained on top of a frozen CLIP that transfers to unseen generators. It errs in both directions - the output needs a human check.
- Checking images from new, unfamiliar generators
- A baseline when comparing detectors
- Fast rollout of a check without training a large model
- Sizes
- a linear classifier on top of CLIP ViT-L/14
- Hardware
- from: Laptop
Video2024–2026
Lightricks · Israel
A fast video model; with LTX-2 it generates video with sound and speech in one go. Camera and pose control, lightweight versions available.
- Ad videos with sound
- Video from a product photo
- Voiced scenes for social media
- Sizes
- 2B – 22B
- Hardware
- from: 1 GPU
RecommendersGGUF2025–2026
Kuaishou · China
An open foundation model for recommendations from a short-video service: browsing and purchase history is fed to the model as a sequence and it predicts the next item or clip. Fine-tuning on your own data is required.
- A personal feed of products or content
- Picking the next item from order history
- Recommendations inside ad slots
- Sizes
- 1.7B, 8B
- Hardware
- from: Laptop
Video2025–2026
Alibaba · China
Text-to-video and image-to-video; the small version runs on a gaming GPU. After 2.2 only applied models are open: editing (VACE), audio-driven talking characters (S2V), dancing to music (Dancer).
- Short promo videos
- Animating product photos
- Videos for social media
- Sizes
- 1,3B – 14B
- Hardware
- from: 1 GPU
Music and soundRUGGUF2025–2026
ACE Studio and StepFun · China
Fast generation of songs with vocals in 19 languages, including Russian: a full song in seconds, editing of individual parts and style changes.
- Songs and jingles for ads
- Background music for videos
- Demo versions of tracks
- Sizes
- about 2B – 4B
- Hardware
- from: Laptop
Text to speechRUGGUF2025–2026
Boson AI · USA
Expressive speech and dialogue synthesis with voice cloning, plus recognition models. Version 3 of the synthesis supports about 100 languages, including Russian, but is non-commercial.
- Expressive video voiceover
- Voicing dialogues
- Voice cloning
- Sizes
- about 3B – 8B
- Hardware
- from: 1 GPU
Image generationGGUF2026
Krea · USA
A 12B image model focused on realism without the glossy "AI look". The Turbo version produces a 2K image in a couple of seconds.
- Realistic photos for advertising
- High-resolution images
- Style fine-tuning
- Sizes
- 12B
- Hardware
- from: 1 GPU
VideoGGUF2025–2026
Zhipu AI (Z.ai) and Tsinghua University · China
Animates a character from an image using motion from another video, including complex turns and multiple characters. SCAIL-2 works without an intermediate skeleton and can replace a character in a clip.
- Transferring an actor's motion to a character
- Replacing a character in a finished video
- Animating mascots and illustrations
- Sizes
- 14B
- Hardware
- from: 1 GPU
Text to speechRUGGUF2025–2026
Zyphra · USA
Speech synthesis with voice cloning and fine control over emotion, speed and pitch.
- Voice cloning
- Emotional voiceover
- Voicing videos
- Sizes
- about 1.6B
- Hardware
- from: Laptop
Photo editing2023–2026
BRIA AI · Israel
BRIA's background removal, trained on licensed photos. Soft edges, hair, transparency. Video versions available. Business use requires a paid agreement.
- Cutting products out onto a white background
- Staff and expert photos without background
- Background removal in video
- Sizes
- 44M – 220M
- Hardware
- from: Laptop
Text to speechRUGGUF2025–2026
Resemble AI · USA
Speech synthesis with voice cloning and adjustable expressiveness. The multilingual version supports 23 languages, including Russian; Turbo and Flash are sped up for live dialogue.
- Voice for a bot or assistant
- Cloning a brand voice
- Voicing videos
- Sizes
- about 350M – 500M
- Hardware
- from: Laptop
Image generationGGUF2025–2026
HiDream.ai · China
Open MIT-licensed image models: generation (I1), instruction-based editing (E1) and the unified O1-Image model that does both.
- Image generation from descriptions
- Editing images with words
- Variations of product photos
- Sizes
- about 9B – 17B
- Hardware
- from: 1 GPU
Image + textGGUF2025–2026
Kuaishou · China
Vision models from Kuaishou focused on short videos. Keye-VL-2.0 (30B, 3B active) understands well what happens in a clip and when.
- Analysing and describing short videos
- Reviewing clips and content
- Finding the right moment in a video
- Sizes
- 8B – 671B-A37B
- Hardware
- from: Laptop
AvatarsGGUF2025–2026
Meituan · China
Audio-driven talking people built on LongCat-Video. Version 1.5 is production-ready: stable long videos in Chinese and English.
- News or course presenter videos
- Promo videos with a talking character
- Singing and voice-over
- Sizes
- based on LongCat-Video 13.6B
- Hardware
- from: 1 GPU
Music and soundGGUF2024–2026
Stability AI · UK
Generates short music clips and sound effects from a description. Version 3 is split into separate models for music and for sounds.
- Sound effects for videos and games
- Background music and jingles
- Interface sounds
- Sizes
- about 0.5B – 2.3B
- Hardware
- from: Laptop
Avatars2026
SII-GAIR and Sand.ai · China
Generates video of a talking person with sound in one go: a single transformer processes text, video and audio. Speech in 7 languages; Russian is not among them. Fast distilled versions are available.
- Presenter video from a script
- Ad videos with a talking character
- Training videos with a narrator
- Sizes
- 15B
- Hardware
- from: 1 GPU
Photo editing2025–2026
S-Lab, Nanyang Technological University · Singapore
Cuts a person out of video with a precise alpha mask, including hair and edges, without a green screen. Needs a first-frame mask, for example from SAM.
- Background replacement in video without chroma key
- Cutting out a person for editing and effects
- Preparing videos for advertising and social media
- Sizes
- about 35M
- Hardware
- from: Laptop
Drawings and CADGGUF2025–2026
Fudan University and StepFun · China
A family of models that produce SVG both from an image and from a text description, from a simple icon to a detailed illustration. For precise drawings the result has to be checked against the original.
- Vectorising images and symbols into SVG
- Creating icons and pictograms from a text description
- Preparing vector graphics for web and print
- Sizes
- 3B – 8B
- Hardware
- from: 1 GPU
Music and sound2025–2026
Alibaba Tongyi (FunAudioLLM) · China
Generates and edits audio for video, text or audio, first "reasoning" about the scene with a multimodal model. PrismAudio is the next version for video-to-audio.
- Audio for video based on the scene
- Editing individual sounds in a track
- Sound effects from a description
- Sizes
- size not stated on the model card
- Hardware
- from: 1 GPU
Image generationGGUF2025–2026
Meituan · China
Meituan's 6B image generation and editing model. Renders Chinese text well; has a fast version for edits.
- Image generation from descriptions
- Instruction-based photo editing
- Visuals for product cards
- Sizes
- 6B
- Hardware
- from: 1 GPU
Avatars2024–2026
Ant Group · China
Ant Group's talking avatars: the face and, from V2, hand gestures. V3-Flash produces video in 8 steps and fits into 12 GB of GPU memory.
- Presenter video from a photo and voice
- Avatar with gestures for presentations
- Voiced characters
- Sizes
- up to 1.3B
- Hardware
- from: 1 GPU
Image generation2026
Zhipu AI (Z.ai) · China
A hybrid of a 9B language model and a 7B decoder. Strong at text-heavy images: posters, infographics, slides.
- Posters and banners with text
- Infographics
- Illustrations for presentations
- Sizes
- 9B + 7B
- Hardware
- from: 1 GPU
Image generationGGUF2024–2026
Tencent · China
Tencent's image models. HunyuanImage 3.0 is the largest open MoE generation model at 80B; it can reason about the prompt and edit by instruction.
- Complex scenes from long descriptions
- Images with Chinese and English text
- Instruction-based image editing
- Sizes
- 1.5B – 80B-A13B
- Hardware
- from: 1 GPU
VideoGGUF2026
OpenMOSS / MOSI · China
Generates video with sound in one pass: lip-synced speech, effects and ambience. A 32B-parameter MoE architecture, with 360p and 720p versions.
- Short clips with speech and sound from a description
- Ad scenes with dialogue
- Video prototypes for storyboards
- Sizes
- 32B-A18B
- Hardware
- from: 1 GPU
Text to speechRUGGUF2026
Alibaba (Qwen) · China
Speech synthesis in 10 languages, including Russian: voice cloning from 3 seconds, ready-made voices and creating a voice from a text description.
- Voice for a bot or assistant
- Cloning a brand voice
- Choosing a voice by description
- Sizes
- 0.6B – 1.7B
- Hardware
- from: Laptop
VideoGGUF2025–2026
Skywork AI (Kunlun Tech) · China
Video models for cinematic scenes with people. Can make videos of unlimited length, extend videos and create talking characters from audio.
- Long videos with continuation
- Video with one character from a reference
- Talking avatar from a voice
- Sizes
- 1.3B – 19B
- Hardware
- from: 1 GPU
Image generationGGUF2025–2026
Alibaba (Tongyi-MAI) · China
A compact 6B model with photorealism on par with large models. The Turbo version produces an image in a few steps on a regular gaming GPU.
- Photorealistic ad images
- Images with English and Chinese text
- Bulk visual generation
- Sizes
- 6B
- Hardware
- from: 1 GPU
Text to speechRU2024–2025
Alibaba (Tongyi, FunAudioLLM) · China
Speech synthesis with voice cloning from a short sample and streaming output for live dialogue. Version 3 supports 9 languages, including Russian.
- Voice for a bot or assistant
- Cloning a brand voice
- Voicing videos
- Sizes
- 300M – 0.5B
- Hardware
- from: Laptop
Deepfake detection2024–2025
Meta · USA
A watermark for video and images that survives re-encoding and cropping. The detector errs in both directions: a missing mark does not prove a forgery, and finding one is a reason for a human to check.
- Marking video created or processed by AI
- Finding your own mark in re-uploaded clips
- Protecting ad materials from being reused as someone else's
- Sizes
- a mark of 96 to 1024 bits
- Hardware
- from: Laptop
TextRUGGUF2024–2025
Vikhr Models · Russia
Russian-language fine-tunes of open models (Mistral, Qwen, Llama) by the independent Vikhr team, with compact versions for a regular PC. Borealis is an audio model for recognizing and understanding Russian speech.
- Russian-language assistant on your own PC or server
- Knowledge-base answers (RAG)
- Texts and emails in Russian
- Sizes
- 0.5B – 24B
- Hardware
- from: Laptop
Text to speech2025
Nari Labs · South Korea
A model that voices entire two-person dialogues with laughter, sighs and pauses. English only.
- Voicing dialogues and podcasts
- Ads with natural speech
- Training role-plays
- Sizes
- 1B – 2B
- Hardware
- from: Laptop
VideoGGUF2024–2025
Tencent · China
Tencent's video model, one of the first open ones on par with closed services. Version 1.5 is lighter (8.3B) and runs on consumer GPUs.
- Video from a text script
- Animating images
- Base for fine-tuning your own video models
- Sizes
- 8.3B – 13B
- Hardware
- from: 1 GPU
Video2025
Character.AI · USA
Generates video together with sound and speech from text or an image: two branches (video based on Wan 2.2 and a 5B audio branch) run in sync. Needs 24–32 GB of GPU memory.
- Short clips with talking characters
- Animating an image with voice-over
- Ad scene prototypes
- Sizes
- 11B
- Hardware
- from: 1 GPU
TextRU2025
Avito Tech · Russia
Avito's model based on Qwen3-8B, retrained for Russian: its own tokenizer encodes Russian text more efficiently. Supports function calling.
- Product and listing descriptions in Russian
- Chatbot that calls internal services
- Request analysis and classification
- Sizes
- 7.9B
- Hardware
- from: Laptop
Image + textRU2025
Avito Tech · Russia
Avito's Russian-language model that understands images: describes photos, answers questions about an image, reads text on it. Based on Qwen2.5-VL, faster in Russian than the original.
- Product descriptions from photos in Russian
- Checking that a photo matches its description
- Reading brands and text in images
- Sizes
- 7.4B
- Hardware
- from: 1 GPU
Music and sound2025
ASLP-lab (Northwestern Polytechnical University) · China
Fast generation of a full song with vocals from lyrics and a style sample, up to several minutes long.
- Songs and jingles from lyrics
- Music for videos
- Demo versions of tracks
- Sizes
- about 1.1B
- Hardware
- from: Laptop
VideoGGUF2025
Meituan · China
A 13.6B video model: from text, from an image and video continuation. Keeps quality on clips several minutes long.
- Long videos
- Video from a photo
- Continuing an existing video
- Sizes
- 13.6B
- Hardware
- from: 1 GPU
Music and sound2025
Tencent Hunyuan · China
Generates studio-quality (48 kHz) audio for video from the picture and a text prompt: footsteps, impacts, ambience, in sync with the action on screen.
- Foley and sound effects for video
- Sound for AI-generated ads
- Sound design for short videos
- Sizes
- not stated on the model card (weights about 10 GB; XL version with memory offloading)
- Hardware
- from: 1 GPU
Recommenders2024–2025
ByteDance · China
A two-level design: one language model reads the item description, the second builds the shopper interest from history. Ready checkpoints at 1B and 7B are published, but they need fine-tuning for your own catalogue.
- Recommendations from browsing and purchase history
- Understanding an item from its title and description
- Suggesting cards for new items with no statistics
- Sizes
- 1B, 7B
- Hardware
- from: 1 GPU
Avatars2025
Meituan · China
Dubbing and talking characters built on Wan: MultiTalk handles dialogue between several people, InfiniteTalk re-dubs videos of any length with facial and body motion.
- Video dubbing with matched facial expressions
- Dialogue between two characters from audio
- Long videos with a presenter
- Sizes
- 14B
- Hardware
- from: 1 GPU
Voice: speakers and soundRU2023–2025
Community (xbgoose and others), Dusha dataset from SberDevices · Russia
Models that detect emotion from voice in Russian speech: neutral, anger, positive, sadness. Trained on the open Dusha dataset from SberDevices.
- Finding calls with irritated customers
- Assessing the tone of operator conversations
- Prioritizing complaints in a call center
- Sizes
- 21M – 316M
- Hardware
- from: Laptop
Photo editingGGUF2024–2025
Nankai University · China
An open MIT-licensed model for precise object segmentation and background removal. RMBG-2.0 is built on it. Versions for 2K and for hair and semi-transparent edges.
- Bulk background removal from product photos
- Precise masks for design and print
- Cutting out people with hair for advertising
- Sizes
- about 220M (lightweight lite versions available)
- Hardware
- from: Laptop
Deepfake detection2024–2025
Meta · USA
An image watermark that can be applied to individual regions: the model shows which part of the image is marked. It errs in both directions - a human reviews the result.
- Marking generated and edited images
- Finding a marked fragment inside a collage
- Tracking which parts of a picture were made by AI
- Sizes
- a mark encoder and decoder for images
- Hardware
- from: Laptop
Deepfake detection2024–2025
Xiaohongshu, USTC and Shanghai Jiao Tong University · China
An AI-image detector made of several experts: some look at visual artifacts, others at noise. The hard Chameleon benchmark was released with it. It errs in both directions - a human reviews the result.
- Checking realistic AI images without obvious artifacts
- Comparing detectors on hard examples
- Fine-tuning for your own type of content
- Sizes
- several experts based on ConvNeXt and CLIP
- Hardware
- from: 1 GPU
Text to speechRU2025
Misha Yakovlev (Misha24-10) · not disclosed
Chuvash speech synthesis: an F5-TTS fine-tune on top of the Russian version, trained on 24 hours of Common Voice recordings. It can copy a voice from a sample — only with the voice owner’s consent. The author calls it an experiment, so check quality on your own texts.
- Reading Chuvash texts aloud
- Voice prompts and announcements
- Audio versions of learning material
- Sizes
- parameter count is not stated on the model card
- Hardware
- from: Laptop
Avatars2025
ByteDance · China
Matches lip movements in an existing video to a new voice track. Version 1.6 works at 512 pixels and produces a sharper face.
- Dubbing videos into another language with lip sync
- Editing lines in finished video without reshooting
- Talking avatars for training courses
- Sizes
- requires 8–18 GB of VRAM
- Hardware
- from: Laptop
Image generationGGUF2024–2025
BAAI (Beijing Academy of Artificial Intelligence) · China
An all-in-one model: generates, edits and moves an object or person from a photo into a new scene without separate plugins.
- Placing a product or person into a new scene
- Instruction-based photo editing
- Generation from multiple references
- Sizes
- about 4B
- Hardware
- from: 1 GPU
TranslationRUGGUF2024–2025
Unbabel · Portugal
Language models tailored for translation and multilingual text work: translating, editing, and assessing translation quality. Russian is supported. Non-commercial license.
- Translation that respects context and terminology
- Post-editing machine translation
- Assessing the quality of a finished translation
- Sizes
- 2B – 72B
- Hardware
- from: Laptop
AvatarsGGUF2025
Tencent · China
Talking characters built on HunyuanVideo: conveys emotions from the voice, handles several characters and different styles.
- Presenter video from a photo and audio
- Scenes with several speakers
- Cartoon characters
- Sizes
- about 13B
- Hardware
- from: 1 GPU
TextRUGGUF2023–2025
Ilya Gusev (IlyaGusev) · Russia
The best-known Russian community fine-tune: open models (Llama, Mistral, Gemma, YandexGPT) trained to act as a Russian-speaking assistant. A convenient starting point for a Russian chatbot on your own server.
- Russian-language chat assistant
- Answers based on the company knowledge base
- Drafts of emails, descriptions and posts in Russian
- Sizes
- 7B – 70B
- Hardware
- from: Laptop
Faces2025
ByteDance · China
FLUX-based image generation that preserves a face: follows the prompt better and less often pastes the face like a sticker. Research-only license.
- Portraits from one photo with a precise scene description
- Testing characters for advertising
- Comparing face-preservation methods
- Sizes
- adapter for FLUX.1-dev
- Hardware
- from: 1 GPU
Video2024–2025
HPC-AI Tech · Singapore
A fully open video generation project: weights, code and training recipe. Version 2.0 at 11B makes video from text and from an image.
- Video from a text description
- Animating images
- Training your own video model
- Sizes
- up to 11B
- Hardware
- from: 1 GPU
Image generationGGUF2024–2025
NVIDIA · USA
NVIDIA's fast image model: 4K images in seconds, runs even on a laptop GPU. The Sprint version generates in 1–2 steps.
- Bulk image generation
- High-resolution visuals
- Real-time generation inside apps
- Sizes
- 0.6B – 4.8B
- Hardware
- from: Laptop
Drawings and CADGGUF2025
ServiceNow Research, Mila and ETS Montreal · Canada
It turns a raster image into SVG code: instead of tracing pixels the model writes vector commands, so lines and symbols stay editable. It simplifies complex drawings, so the result needs a visual check.
- Vectorising diagrams, symbols and logos from raster images
- Turning scans of simple drawings into editable vectors
- Recovering icons and pictograms from images
- Sizes
- 1B and 8B
- Hardware
- from: Laptop
Virtual try-on2025
Beijing University of Posts and Telecommunications and others · China
An all-round FLUX-based apparel toolkit: try-on, generating a model wearing a given item, and "taking off" an item from a person into a separate product photo.
- Try-on from a product photo
- Photo of a model wearing an item from a text description
- Clean product photo extracted from a shot of a person
- Sizes
- add-ons (LoRA) for FLUX.1 dev 12B
- Hardware
- from: 1 GPU
Fact-checking and judges2025
Atla · UK
An 8B judge model: it scores another model answer against your criteria and writes a rationale. The judge itself makes mistakes and does not replace manual review on important tasks.
- Scoring chatbot answers against your own criteria
- Comparing two versions of a prompt or model
- Filtering out weak answers before they reach a person
- Sizes
- 8B
- Hardware
- from: 1 GPU
Photo editing2024–2025
Prama LLC · USA
A background removal model focused on difficult edges: hair, fur, fine details. The open version is MIT-licensed and can process video.
- Cutting out products and people from photos
- Background removal in video
- Preparing photos for a catalog
- Sizes
- about 95M
- Hardware
- from: Laptop
Image + textGGUF2024–2025
DeepSeek · China
A single model that both understands images and draws them from a description. Janus-Pro-7B drew attention in early 2025, but its image quality is below specialised models.
- Answering questions about images
- Draft illustrations from a description
- Experiments with a unified vision and generation model
- Sizes
- 1B – 7B
- Hardware
- from: Laptop
Text analysisRUOllama2024–2025
Jina AI · Germany
Small models that turn raw web page HTML into clean Markdown or JSON. Handy for preparing websites for a knowledge base. Non-commercial license only.
- Cleaning website pages for a knowledge base
- Extracting data from pages into JSON
- Preparing texts for RAG
- Sizes
- 0.5B – 1.5B
- Hardware
- from: Laptop
Deepfake detection2024
Meta · USA
An imperceptible mark in synthetic speech plus a fast detector that finds it even inside a fragment of a long recording. The detector errs in both directions: a hit is a reason for a human to check, not proof.
- Marking speech synthesized by your service
- Finding your own mark in third-party publications
- Checking whether synthesis was mixed into a call recording
- Sizes
- a watermark generator and detector, 16-bit message
- Hardware
- from: Laptop
Video2024
Zhipu AI (Z.ai) and Tsinghua University · China
A 2–5B video model that runs on a single gaming GPU. A popular base for research and add-ons.
- Short clips from text
- Animating images
- Video fine-tuning experiments
- Sizes
- 2B – 5B
- Hardware
- from: 1 GPU
TextRU2024
MTS AI (MWS AI) · Russia
A lightweight Russian-language model from MTS AI for Russian texts: answers, summaries, drafts. A ready version for CPU without a GPU is available. The larger Cotype Pro is not released openly.
- Drafts of emails and descriptions in Russian
- Short document summaries
- Answers to common customer questions
- Sizes
- 1.5B
- Hardware
- from: Laptop
Recommenders2024
Marqo · Australia
Models that turn a product photo and its title into a single vector: suitable for a similar-items block, image search and matching by description. Built for retail product cards.
- Similar items by photo and title
- Catalogue search by image
- Product search from a shopper phrase
- Sizes
- 203M (B) и 652M (L)
- Hardware
- from: Laptop
Text to speechGGUF2024
Hugging Face · USA
Speech synthesis where the voice is set by a text description ("a calm female voice, clean recording"). English and 8 European languages, no Russian.
- Choosing a voice by description
- Voicing videos
- Voice service prototypes
- Sizes
- 880M – 2.2B
- Hardware
- from: Laptop
Finance2023–2024
AI4Finance Foundation · USA
An open set of lightweight add-ons for ordinary language models that work with financial texts and news. Not investment advice: decisions are made by a specialist.
- Assessing the tone of financial news and reports
- Tagging mentions of companies and instruments in text
- Preparing digests from a stream of business news
- Sizes
- adapters for 6B - 20B base models
- Hardware
- from: 1 GPU
VideoGGUF2024
Genmo · USA
An open 10B video model with realistic motion. At release it was among the strongest open models; no updates now.
- Video from a description
- Short ad scenes
- Sizes
- 10B
- Hardware
- from: 1 GPU
Faces2024
ByteDance · China
Preserves a person's face when generating images from one photo, with less damage to style and background. Versions exist for SDXL and FLUX; the latter runs on a 16 GB card.
- Portraits and avatars from one photo
- Ad characters with a recognizable face
- Photoshoot prototypes
- Sizes
- adapters for SDXL and FLUX.1-dev
- Hardware
- from: 1 GPU
Video2022–2024
hzwer (Zhewei Huang) and co-authors · China
Generates intermediate frames: turns 24–30 fps into 60 fps and more and makes smooth slow motion. Versions 4.24+ smooth out video from generative models well.
- Increasing video frame rate
- Smooth slow-motion video
- Smoothing clips from AI generators
- Sizes
- lightweight model (size not stated on the model card)
- Hardware
- from: Laptop
Image generationGGUF2022–2024
Stability AI · UK
The model that started open image generation. A huge ecosystem of fine-tunes, styles and plugins; runs even on a home PC. The popular SDXL-Lightning and Hyper-SD accelerators were made by ByteDance.
- Illustrations and banners for advertising
- Backgrounds and scenes for product cards
- Fine-tuning to a brand style
- Sizes
- 0.9B – 8B
- Hardware
- from: Laptop
Recommenders2024
Recombee · Czechia
Description encoders trained so that items people actually buy together end up close to each other, not merely items that sound alike. Versions trained on public catalogues are published.
- A frequently-bought-together block
- Recommendations for listings with no sales history
- Moving the model to a new catalogue
- Sizes
- about 110M (built on all-mpnet-base-v2)
- Hardware
- from: Laptop
Photo editing2024
Jasper AI · USA
A FLUX add-on for upscaling small and blurry images with detail reconstruction. Popular, but under the non-commercial FLUX dev license.
- Upscaling small images with detail reconstruction
- Enhancing generated images
- Upscaling pilots for a catalog
- Sizes
- add-on for FLUX.1 dev 12B
- Hardware
- from: 1 GPU
RecommendersNot maintained2024
HKUDS, University of Hong Kong · China
Encoders that put a text portrait of a shopper and a text description of an item into one vector space so they can be matched directly. They help where a new listing has no purchase statistics yet.
- Recommendations for new items with no statistics
- Matching by a text portrait of the shopper
- Reinforcing ordinary recommendations with descriptions
- Sizes
- three RoBERTa-based versions: small, base, large
- Hardware
- from: Laptop
VideoNot maintained2023–2024
Shanghai AI Lab and CUHK · China
A module that brings Stable Diffusion image models to life, turning them into short animations. One of the first open video technologies.
- Short animations in brand style
- Animated covers and banners
- Animated stickers
- Sizes
- motion module on top of SD 1.5 / SDXL
- Hardware
- from: Laptop
Image generationNot maintained2023–2024
Lvmin Zhang (Stanford) and the community · USA
An add-on for image models: sets pose, outlines, depth or floor plan so the result follows the required composition exactly.
- Image from a sketch or outline
- Keeping pose and composition
- Interior visualization from a floor plan
- Sizes
- 0.4B – 1.3B
- Hardware
- from: Laptop
RecommendersGGUFNot maintained2024
Ohio State University (NingLab) · USA
Three language models tuned on a large set of commerce instructions: product selection, answers from the item card, matching listings, review analysis. Your own assortment still needs fine-tuning.
- Finding a product from a shopper request
- Answering questions about an item card
- Matching identical listings across catalogues
- Sizes
- 2.7B – 13B
- Hardware
- from: Laptop
AvatarsNot maintained2024
Kuaishou (Kling) · China
Animates a portrait from a reference video: an actor's facial expressions and head turns are transferred to the photo. Runs fast even on a weak GPU.
- Animating portraits
- Transferring an actor's expressions to a character
- Mascot animation
- Sizes
- under 1B
- Hardware
- from: Laptop
RecommendersNot maintained2024
UC San Diego (McAuley Lab) · USA
Light encoders trained on pairs of item card and real review: they produce item vectors for similar-item blocks and for search by a shopper description. The weights are small and run on an ordinary server.
- A similar-items block based on descriptions
- Product search from a shopper phrase
- Suggesting cards for new listings
- Sizes
- 125M и 355M
- Hardware
- from: Laptop
Photo editingNot maintained2024
Lvmin Zhang (author of ControlNet) · USA
Changes lighting in a photo: relights an object or person from a description or to match a given background, so a cut-out looks natural.
- Matching product lighting to a new background
- Studio lighting for portraits without a reshoot
- Consistent lighting style across a catalog
- Sizes
- based on SD 1.5
- Hardware
- from: Laptop
Photo editingNot maintained2023–2024
Shanghai AI Laboratory (OpenMMLab) and Tsinghua University · China
All-round photo inpainting: remove an object, insert a new one from a description, change a shape or extend the frame beyond its edges.
- Removing and replacing objects in photos
- Extending the frame to a required format
- Inserting a product or detail from a text description
- Sizes
- based on SD 1.5
- Hardware
- from: Laptop
FacesNot maintained2023–2024
Tencent AI Lab (h94) · China
One of the first adapters that transfer a face from a photo into a generated image. The SD 1.5 versions run on low-end cards, but the weights are non-commercial.
- Portraits from a photo in different styles
- Image series with one character
- Avatar experiments
- Sizes
- adapters for SD 1.5 and SDXL
- Hardware
- from: Laptop
Voice: speakers and soundNot maintained2024
MyShell and MIT · USA
Instant voice cloning from a short sample with control over emotion and accent; V2 speaks several languages. Use only with the voice owner's consent.
- Voicing videos with the company narrator's voice
- Voice bot with a recognizable brand voice
- Transferring timbre onto existing speech synthesis
- Sizes
- under 1B
- Hardware
- from: Laptop
Image generationNot maintained2023–2024
Huawei Noah's Ark Lab and partners · China
A compact 0.6B image model with quality on par with much larger ones. The Sigma version does 4K; suits modest hardware.
- Illustrations for articles and social media
- Backgrounds for product cards
- Quick visual drafts
- Sizes
- 0.6B
- Hardware
- from: Laptop
Image generationNot maintained2023–2024
Playground AI · USA
An SDXL-based model focused on aesthetics: vivid colors, contrast, portraits. Compatible with SDXL ecosystem tools.
- Aesthetic ad visuals
- Portraits and lifestyle images
- Post covers
- Sizes
- about 2.6B
- Hardware
- from: 1 GPU
FacesNot maintained2024
InstantX (Xiaohongshu) · China
Generates images with a specific person's face from a single photo, without fine-tuning. Popular in ComfyUI, but the weights are for research only.
- Portraits in different styles from one photo
- Avatar and character sketches
- Photoshoot prototypes
- Sizes
- adapter for SDXL
- Hardware
- from: 1 GPU
VideoNot maintained2023
Stability AI · UK
Stability AI's first open video model: turns a photo into a 2–4 second clip. Now behind newer models in quality.
- Animating product photos
- Short video intros
- Animating illustrations
- Sizes
- about 1.5B
- Hardware
- from: 1 GPU
Music and soundNot maintained2023
LAION · Germany
CLIP for audio: maps audio and text into a shared space. Lets you search sounds and music by description and classify them without training. Text must be in English.
- Search sounds and music by description
- Automatic tags for an audio library
- Recognizing sound types (siren, breaking glass, voice)
- Sizes
- size not stated on the model card
- Hardware
- from: Laptop
Text to speechRUGGUFNot maintained2023
Suno · USA
One of the first open models to voice text with intonation, laughter and pauses. Supports about ten languages, including Russian. Now outdated.
- Draft voiceovers for videos
- Voice service prototypes
- Sound effects in speech
- Sizes
- about 300M – 1B
- Hardware
- from: Laptop
TextRUGGUFNot maintained2023
Sber (ai-forever) · Russia
Sber's 13-billion-parameter base Russian model; GigaChat grew out of its fine-tuned version. Continues texts in Russian and English, context only 2048 tokens; today useful as a base for narrow fine-tuning.
- Base for fine-tuning on a narrow Russian-language task
- Generating template Russian texts
- Experiments with Russian-language models without license restrictions
- Sizes
- 13B
- Hardware
- from: 1 GPU
AvatarsNot maintained2023
Xi'an Jiaotong University and Tencent AI Lab · China
An older lightweight talking-head model: one photo plus audio becomes a video. Runs on weak hardware, but quality is noticeably below newer models.
- Talking photo for greetings
- Simple voiced avatars
- Sizes
- under 1B
- Hardware
- from: Laptop
Text analysisRUNot maintained2022–2023
David Dale (cointegrated) and the community · Russia
Ready-made tiny rubert-tiny models for Russian text: detect rudeness and insults, sentiment and emotions. They run on a CPU in milliseconds.
- Filtering insults in Russian chats and comments
- Labeling reviews as positive, neutral or negative
- Spotting irritated customers in requests
- Sizes
- 12M – 29M
- Hardware
- from: Laptop
RecommendersNot maintained2023
FashionCLIP research project (Farfetch data) · not disclosed
A time-tested model for clothing and footwear: it places an item photo and its description in one space, so it fits similar-item blocks and outfit matching. Fine-tuning for your own assortment is advisable.
- Similar items by photograph
- Building an outfit and matching add-ons
- Automatic tagging of clothing cards
- Sizes
- built on CLIP ViT-B/32
- Hardware
- from: Laptop
