> ## Documentation Index
> Fetch the complete documentation index at: https://docs.modellix.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# New Models

> Track newly integrated AI image and video models on Modellix, including provider, capabilities, parameters, and availability announcements as they ship.

<Update label="Jul 13, 2026" rss={{ title: "Google Gemini Omni Flash Video Model Suite Integration", description: "Added Google's Gemini Omni Flash multimodal video suite, including text-to-video, image-to-video, reference-to-video, and instruction-based video editing." }}>
  ## Google

  ### Gemini Omni Flash

  * `google/gemini-omni-flash-t2v`: Google's fast multimodal Text-to-Video model built on the Interactions API. It turns a text prompt into a short 720p video with natively synchronized audio, optimized for low-latency prototyping and short social clips.
  * `google/gemini-omni-flash-i2v`: Google's fast Image-to-Video model. It animates a single input image as the opening frame into a short 720p video with synchronized audio.
  * `google/gemini-omni-flash-r2v`: Google's fast Reference-to-Video model. It fuses up to three reference images guided by a text prompt into a coherent short 720p clip with synchronized audio.
  * `google/gemini-omni-flash-video-edit`: Google's instruction-driven Video Edit model. It applies natural-language edits to an existing video while preserving the source length and aspect ratio, with synchronized audio.
</Update>

<Update label="Jul 6, 2026" rss={{ title: "Google Nano Banana 2 Lite, SkyReels, and Reve Model Suites Integration", description: "Added Google's lightweight Nano Banana 2 Lite series, Skywork's full SkyReels video generation and editing suites, and Reve's flagship high-fidelity text-to-image and editing models." }}>
  ## Google

  ### Nano Banana 2 Lite

  * `google/nano-banana-2-lite`: Google's lightweight, cost-efficient text-to-image model in the Nano Banana 2 family. Built on Gemini 3.1 Flash Lite Image, it delivers rapid image generation at a fraction of the cost, making it ideal for high-volume creative iteration and rapid prototyping.
  * `google/nano-banana-2-lite-edit`: Google's lightweight, cost-efficient image-to-image editing model. It excels at fast, low-cost instruction-based editing across up to 14 input images.

  ## Skywork

  ### Text-to-Video

  * `skyreels/skyreels-t2v`: SkyReels Text-to-Video model. Generates highly realistic videos purely from text prompts with smooth motion dynamics, strong prompt compliance, optional audio, and adjustable speed/quality modes.

  ### Image-to-Video & Talking Avatar

  * `skyreels/skyreels-i2v`: SkyReels Image-to-Video model. Animates static images with advanced first-frame, end-frame, or mid-frame keyframe control, supporting custom motion guidance and optional audio.
  * `skyreels/skyreels-r2v`: SkyReels Reference-to-Video model. Generates a video from a text prompt while preserving the unique identities of subjects from 1-4 reference images.
  * `skyreels/single-actor-avatar`: SkyReels Single-Actor Talking Avatar model. It drives a portrait image using a single audio track, creating a lifelike virtual presenter with perfect lip synchronization.
  * `skyreels/segmented-camera-motion`: SkyReels Segmented Camera Motion model. Combines audio-driven portrait animation with precise, multi-segment directed camera trajectories (such as pan, push, crane, and rotation).

  ### Video-to-Video & Omni Editing

  * `skyreels/skyreels-omni`: SkyReels Omni Reference Video model. A unified endpoint for advanced motion reference, subject/background swap, object insertion/removal, and multi-image driven video synthesis.
  * `skyreels/video-restyling`: SkyReels Video Restyle model. Consistent video style transfer that re-renders an existing clip into specific creative art styles (Lego, Simpsons, Van Gogh, and more).
  * `skyreels/video-extension-single-shot`: SkyReels Video Extension (Single Shot) model. Seamlessly extends the footage and motion of an existing single-shot video.
  * `skyreels/video-extension-shot-switching`: SkyReels Video Extension (Shot Switching) model. Appends additional video footage while transitioning cinematic shots and angles (cut-in, reverse-shot, etc.).
  * `skyreels/sky-lipsync`: SkyReels Lip Sync model. Re-synchronizes talking lip movements on any existing video to match a target audio file.

  ## Reve

  ### Image Generation

  * `reve/reve-create`: Reve's flagship text-to-image model. It features exceptional prompt adherence and superior in-image text and typography rendering, producing clean, beautifully composed professional layouts.

  ### Image Editing & Remixing

  * `reve/reve-edit`: Reve's single-image editing model. It performs highly targeted, localized edits on an input image based on natural-language instructions, while preserving the surrounding details.
  * `reve/reve-remix`: Reve's multi-image composition model. It blends 1 to 6 reference images guided by a prompt, supporting precise in-prompt references to specific images using `<img id></img>` tags.
</Update>

<Update label="Jul 1, 2026" rss={{ title: "Vidu Q3 AD and PixVerse V6 & C1 Model Suites Integration", description: "Added Vidu's Q3 AD keyframe-driven short play model and PixVerse's full V6 and C1 video generation suites, including text-to-video, image-to-video, video-to-video, motion control, and lip sync capabilities." }}>
  ## Vidu

  ### Q3 AD (Keyframe Short Play)

  * `viduq3-ad`: Vidu Q3 AD keyframe-driven short-play Image-to-Video model. It transforms a film-style script plus character, scene, and prop reference images into a complete multi-shot short video, automatically planning shots and compositing them in one pass with high narrative coherence.

  ## PixVerse

  ### Text-to-Video

  * `v6-t2v`: V6 Text-to-Video model. Generates videos purely from a text prompt with strong prompt adherence, smooth motion, and support for optional audio and multi-clip generation.
  * `c1-t2v`: C1 Text-to-Video model. Generates videos purely from a text prompt with strong prompt adherence and smooth motion, optimized for standard single-clip generation.

  ### Image-to-Video & Transitions

  * `v6-i2v`: V6 Image-to-Video model. Animates a single starting image into a video guided by a text prompt, supporting smooth motion, optional audio, and multi-clip generation.
  * `c1-i2v`: C1 Image-to-Video model. Animates a single starting image into a video guided by a text prompt, optimized for standard single-clip generation.
  * `v6-fl2v`: V6 First-Last-Frame to Video model. Generates a video transitioning smoothly from a starting frame to an ending frame, guided by a prompt.
  * `c1-fl2v`: C1 First-Last-Frame to Video model. Generates a video transitioning smoothly from a starting frame to an ending frame, guided by a prompt.

  ### Character & Reference Video (Fusion)

  * `v6-r2v`: V6 Reference-to-Video (Fusion) model. Generates a video from a prompt while preserving subjects from 1-7 reference images, allowing role tagging (subject/background) and named references.
  * `c1-r2v`: C1 Reference-to-Video (Fusion) model. Generates a video from a prompt while preserving subjects from 1-7 reference images, allowing role tagging (subject/background) and named references.

  ### Video-to-Video & Editing

  * `lipsync`: Lip Sync model. Re-times the subject's lips in a talking-head video to match a given audio URL or text-to-speech content.
  * `video-restyle`: Restyle Video model. Re-renders an existing video into a new visual style using preset style IDs or custom text prompts.
  * `v6-video-extend`: V6 Extend Video model. Continues an existing video for 1-15 additional seconds guided by a text prompt, ensuring seamless motion and scene continuation.
  * `motion-control`: Motion Control (Mimic) model. Animates a subject image to follow the body movements and poses of a reference video.
  * `upscale-video`: Upscale Video model. Enhances the resolution and clarity of an existing video without changing its content, style, or motion.
</Update>

<Update label="Jun 26, 2026" rss={{ title: "ByteDance Seedance 2.0 Text-to-Video and Mini Multimodal Models Integration", description: "Added ByteDance's Dreamina Seedance 2.0 text-to-video suite (standard, fast, and mini) and Seedance 2.0 Mini image-to-video and video-to-video models." }}>
  ## ByteDance

  ### Seedance 2.0 (Standard)

  * `seedance-2.0-t2v`: ByteDance Dreamina Seedance 2.0 text-to-video model. It excels at high-fidelity text-to-video generation, supporting resolutions up to 4K, 24 fps, 4-15s MP4 outputs, and optional image or audio references.

  ### Seedance 2.0 Fast

  * `seedance-2.0-fast-t2v`: A speed-optimized variant of Seedance 2.0 text-to-video model, offering rapid generation at 480p/720p resolutions and 24 fps.

  ### Seedance 2.0 Mini

  * `seedance-2.0-mini-t2v`: A lightweight, cost-efficient text-to-video model in the Seedance 2.0 family, supporting 480p/720p resolutions and 24 fps.
  * `seedance-2.0-mini-i2v`: A lightweight, cost-efficient image-to-video model that animates static images into 24 fps videos, supporting optional first/last frame, reference images, and audio references.
  * `seedance-2.0-mini-v2v`: A lightweight, cost-efficient video-to-video model for transforming existing video clips with text, image, or audio references.
</Update>

<Update label="Jun 24, 2026" rss={{ title: "Microsoft MAI 2.5, xAI Grok Imagine, Alibaba HappyHorse 1.1, and Vidu Q3 Drama Integration", description: "Added Microsoft's MAI Image 2.5 series, xAI's Grok Imagine image and video suites, Alibaba's HappyHorse 1.1 video models, and Vidu's Q3 Drama script-to-video model." }}>
  ## Microsoft

  ### Image Generation

  * `mai-image-2.5`: Microsoft's flagship text-to-image generation model. It excels at producing high-quality, detailed images from a text prompt with precise control over output dimensions.
  * `mai-image-2.5-flash`: Microsoft's fast, cost-efficient text-to-image generation model. It excels at quickly generating solid images from a text prompt with the same dimension controls.

  ### Image Editing

  * `mai-image-2.5-edit`: Microsoft's flagship image editing model. It excels at applying high-quality, prompt-guided edits and transformations to a single source image.
  * `mai-image-2.5-flash-edit`: Microsoft's fast, cost-efficient image editing model. It excels at quickly applying prompt-guided edits to a single source image.

  ## xAI

  ### Image Generation

  * `grok-imagine-image`: xAI's standard text-to-image generation model. It excels at quickly generating solid, visually appealing images from a text prompt across a wide range of aspect ratios.
  * `grok-imagine-image-quality`: xAI's high-fidelity text-to-image generation model. It excels at producing richly detailed, high-quality images from a text prompt, with flexible aspect ratios and an optional 2K resolution.

  ### Image Editing

  * `grok-imagine-image-edit`: xAI's standard image editing model. It excels at quickly applying prompt-guided edits and style changes to one or more source images (up to 3).
  * `grok-imagine-image-quality-edit`: xAI's high-fidelity image editing model. It excels at applying detailed, prompt-guided edits and style transformations to one or more source images (up to 3) while preserving fine detail.

  ### Video Generation

  * `grok-imagine-video`: xAI's text-to-video generation model. It excels at generating short, dynamic video clips directly from a text prompt, with controllable duration, aspect ratio, and resolution.
  * `grok-imagine-video-i2v`: xAI's standard image-to-video model. It animates a single starting image into a video, producing smooth motion guided by a text prompt.
  * `grok-imagine-video-1.5-i2v`: xAI's image-to-video model using the Grok Imagine 1.5 generation backbone. It animates a single starting image into a video with the improved 1.5 model.
  * `grok-imagine-video-r2v`: xAI's reference-to-video model. It generates a video from a text prompt while preserving the subjects shown in up to 7 reference images.

  ### Video Editing & Extension

  * `grok-imagine-video-edit`: xAI's video editing model. It applies prompt-guided transformations, restyling, and modifications to an input video while keeping its original duration and aspect ratio.
  * `grok-imagine-video-extend`: xAI's video extension model. It continues an existing video, generating additional footage (2-10 seconds) beyond its end with new prompt-guided motion.

  ## Alibaba

  ### HappyHorse 1.1

  * `happyhorse-1.1-t2v`: Alibaba's latest streamlined text-to-video model. It generates 720P/1080P video with native audio support, 3-15 second duration, and expanded aspect ratios (4:5, 5:4, 9:21, 21:9).
  * `happyhorse-1.1-i2v`: Alibaba's latest streamlined first-frame image-to-video model. It turns a single image into high-quality 720P/1080P video with native audio support and 3-15 second duration.
  * `happyhorse-1.1-r2v`: Alibaba's latest reference-image-to-video model. It uses 1-9 reference images to preserve subject or character appearance while generating new video actions, with 720P/1080P output and native audio.

  ## Vidu

  ### Q3 Drama

  * `viduq3-drama`: Vidu Q3 Drama (Short Play) script-to-video model. It turns a written script plus character, scene, and prop reference images into a complete multi-shot short drama, automatically planning the shots, transitions, and camera work in a single pass.
</Update>

<Update label="Jun 8, 2026" rss={{ title: "Vidu Video and Story Generation Models Integration", description: "Added Vidu's full model suite, including text-to-video, image-to-video, reference-to-video (R2V), digital human, template story, multi-frame animation, video editing, and one-click film/ad generation." }}>
  ## Vidu

  ### Text-to-Video

  * `viduq3-turbo-t2v`: Vidu Q3 Turbo text-to-video model. Fast video generation from a text prompt with support for custom duration (1-16s), aspect ratio selection, and resolutions up to 1080p.
  * `viduq3-pro-t2v`: Vidu Q3 Pro text-to-video model. High-quality video generation with enhanced prompt adherence, cinematic detail, realistic motion physics, and support for up to 1080p output.

  ### Image-to-Video & Transitions

  * `viduq3-pro-fast-i2v`: Vidu Q3 Pro Fast image-to-video model. High-speed generation from a starting frame image, supporting motion guidance, custom duration (1-16s), and HD output.
  * `viduq3-pro-i2v`: Vidu Q3 Pro image-to-video model. High-quality video generation from a starting frame, delivering superb motion fluidity and visual consistency.
  * `viduq3-turbo-i2v`: Vidu Q3 Turbo image-to-video model. Speed-optimized animation from a starting frame, offering rapid generation with high-fidelity outputs.
  * `viduq3-turbo-fl2v`: Vidu Q3 Turbo first-last frame model. Generates a smooth, fluid dynamic transition video between a user-defined start and end frame.
  * `viduq3-pro-fl2v`: Vidu Q3 Pro first-last frame model. High-quality video transition model that bridges opening and closing frames with physical realism and precise scene progression.

  ### Character & Reference Video (R2V)

  * `viduq3-mix-r2v`: Vidu Q3 Mix reference-to-video model. Generates rich cinematic videos with character consistency from 1-7 reference images using mixed-style synthesis.
  * `viduq3-turbo-r2v`: Vidu Q3 Turbo reference-to-video model. Fast generation of character-consistent video clips utilizing up to 7 reference images and detailed prompts.
  * `viduq3-r2v`: Vidu Q3 reference-to-video model. Balanced reference-to-video model designed to maintain strong character likeness and background consistency across generations.

  ### Digital Human & Multi-Frame Animation

  * `viduq2-turbo-digital-human`: Vidu Q2 Turbo digital human model. Animates a portrait image into a speaking digital human, supporting motion prompts and audio inputs for precise lip synchronization.
  * `viduq2-pro-digital-human`: Vidu Q2 Pro digital human model. High-quality portrait animation for lifelike speaking videos with expressive details and natural lip sync tied to an audio track.
  * `viduq2-turbo-multi-frame`: Vidu Q2 Turbo multi-frame animation model. Directly animates through a custom sequence of up to 9 keyframes (1 start frame plus up to 8 key images).
  * `viduq2-pro-multi-frame`: Vidu Q2 Pro multi-frame animation model. High-quality sequence animation that maintains strong identity and style consistency across up to 9 provided frames.

  ### One-Click Film & Story Creation

  * `template-story`: Vidu template story model. Generates a narrative video by placing custom characters from reference images into predefined templates (e.g., love\_story, workday\_feels, monkey\_king).
  * `one-click-general-film`: Vidu one-click general film model. Automatically strings together 1-7 scene or subject images with narrative prompts into cohesive cinematic films ranging from 10 to 180 seconds.
  * `one-click-ad-film`: Vidu one-click ad film model. Automatically generates marketing or promotional video ads (10-60s) from 1-7 product or scene images. Support scripts in both English and Chinese.

  ### Video-to-Video & Editing

  * `motion-sync`: Vidu motion sync model. Seamlessly extracts complex body movements and physical poses from a reference video and transfers them onto a target static character image.
  * `lip-sync`: Vidu lip sync model. Reanimates lip movements in a source video to align with a new replacement audio file while keeping original characters intact.
  * `one-click-trending-replicate`: Vidu one-click trending replicate model. Automatically clones a trending reference video's specific template style, timing, and transition effects over your own subject images.
</Update>

<Update label="May 29, 2026" rss={{ title: "Alibaba Wan 2.7 Video Models Integration", description: "Added Alibaba's latest Wan 2.7 text-to-video and image-to-video models with enhanced cinematic quality and advanced narrative capabilities." }}>
  ## Alibaba

  ### Wan 2.7

  * `wan2.7-t2v`: The latest generation Wan text-to-video model that generates videos from a single sentence with enhanced cinematic quality, improved motion stability, and advanced multi-shot narrative capabilities. Supports automatic dubbing and custom audio.
  * `wan2.7-i2v`: The latest generation Wan image-to-video model that generates videos using prompts and image references with superior prompt adherence, cinematic quality, and advanced multi-shot narrative capabilities. Supports automatic dubbing and custom audio.
</Update>

<Update label="May 19, 2026" rss={{ title: "Google Veo 3.1 Lite Models Integration", description: "Added Google's Veo 3.1 Lite text-to-video and image-to-video models with support for resolutions up to 1080p." }}>
  ## Google

  ### Veo 3.1 Lite

  * `Veo 3.1 Lite T2V`: Google Veo 3.1 Lite text-to-video model with person generation control. Supports resolutions up to 1080p. Duration: 4/6/8 seconds.
  * `Veo 3.1 Lite I2V`: Google Veo 3.1 Lite image-to-video model with person generation control. Supports resolutions up to 1080p. Duration: 4/6/8 seconds.
</Update>

<Update label="May 15, 2026" rss={{ title: "OpenAI Image Models Integration", description: "Added OpenAI's GPT Image 2 and 1.5 series models for text-to-image generation and image editing, with support for up to 4K resolution and transparent backgrounds." }}>
  ## OpenAI

  ### Image Generation

  * `gpt-image-2`: OpenAI's state-of-the-art image generation model for fast, high-quality output, supporting resolutions up to 4K (3840x2160).
  * `gpt-image-1.5`: A balanced image generation model offering solid performance, transparent background support, and resolutions up to 1536x1024.

  ### Image Editing

  * `gpt-image-2-edit`: OpenAI's state-of-the-art image editing model, supporting high-resolution outputs including 2K and 4K.
  * `gpt-image-1.5-edit`: A balanced image editing model featuring transparent background support, input fidelity control, and multi-image editing capabilities (up to 16 images).
</Update>

<Update label="Apr 29, 2026" rss={{ title: "Alibaba HappyHorse Video Models Integration", description: "Added Alibaba's HappyHorse video generation and editing models, including text-to-video, image-to-video, reference-to-video, and video editing capabilities." }}>
  ## Alibaba

  ### HappyHorse

  * `happyhorse-1.0-t2v`: HappyHorse text-to-video model generates physically realistic and smoothly animated video content from text prompts. The model focuses on physical realism and motion fluidity, supporting various resolution and aspect ratio combinations with 3-15 seconds duration.
  * `happyhorse-1.0-i2v`: HappyHorse image-to-video model generates physically realistic and smoothly animated video content from a first frame image. The model can optionally use text prompts for guidance, supporting 720P/1080P resolution and 3-15 seconds duration.
  * `happyhorse-1.0-r2v`: HappyHorse reference-to-video model generates fluid videos by fusing characters from multiple reference images (1-9 images) through text prompts with character references. Supports 720P/1080P resolution, multiple aspect ratios, and 3-15 seconds duration.
  * `happyhorse-1.0-video-edit`: HappyHorse video editing model supports style transformation and local replacement by combining input video with reference images (0-5) and text instructions. Input video duration: 3-60 seconds. Output video duration: 3-15 seconds.
</Update>

<Update label="Apr 24, 2026" rss={{ title: "Kling V3 and Video O1 Models Integration", description: "Added Kling AI's latest V3 suite including text-to-image, image-to-image, text-to-video, image-to-video, omni image/video models, and the new Video O1 model." }}>
  ## Kling

  ### Kling V3

  * `Kling V3 T2I`: Kling V3 text-to-image model with improved prompt adherence and 1K/2K output support for higher-fidelity creative generation.
  * `Kling V3 I2I`: Kling V3 image-to-image model for higher-fidelity editing and restyling with 1K/2K output support.
  * `Kling V3 Omni Image`: Kling V3 Omni image model supporting single-image and series generation with image references, element references, and up to 4K output.
  * `Kling V3 T2V`: Kling V3 text-to-video model supporting single-shot and storyboard-based multi-shot generation with 3-15 second output duration.
  * `Kling V3 I2V`: Kling V3 image-to-video model supporting prompt-driven animation, storyboard workflows, element references, and 3-15 second output duration.
  * `Kling V3 Omni Video`: Kling V3 Omni video model for advanced video-to-video generation, combining prompts, storyboard segments, image references, element references, and optional video inputs.

  ### Kling Video O1

  * `Kling Video O1`: Kling Video O1 omni video model for storyboard-driven video-to-video generation, supporting reference videos, optional first/end frames, and element-guided editing.
</Update>

<Update label="Apr 17, 2026" rss={{ title: "Alibaba Qwen/Wan Image and Video Model Expansion", description: "Added Alibaba's latest Qwen and Wan image generation, image editing, and reference/video editing models, including new 2.7 image series and advanced R2V/video edit capabilities." }}>
  ## Alibaba

  ### Image Generation

  * `qwen-image-2.0`: Accelerated text-to-image model balancing quality and speed, supporting resolutions up to 2688\*1536 and batch generation of 1-6 images.
  * `qwen-image-2.0-pro`: The most capable Qwen-Image 2.0 model with stronger text rendering, realistic textures, and semantic adherence, supporting batch generation of 1-6 images.
  * `qwen-image-max`: High-realism text-to-image model with reduced AI artifacts, fixed resolution options, and 1 image output per request.
  * `wan2.7-image`: Standard text-to-image model with faster generation speed, up to 2K resolution, thinking mode, sequential generation, and custom color themes.
  * `wan2.7-image-pro`: Professional text-to-image model supporting up to 4K resolution, thinking mode, sequential multi-image generation, and custom color themes.
  * `z-image-turbo`: Lightweight text-to-image model optimized for speed with Chinese and English text rendering support, outputting 1 PNG image per request.

  ### Image Editing

  * `qwen-image-2.0-edit`: Accelerated image editing model balancing quality and speed, supporting 1-3 input images and 1-6 outputs with customizable resolution.
  * `qwen-image-2.0-pro-edit`: Professional image editing model with stronger text rendering, realistic quality, and semantic following, supporting 1-3 input images and 1-6 outputs.
  * `qwen-image-edit-max`: Advanced image editing model focused on industrial design, geometry reasoning, and character consistency, supporting 1-3 input images and 1-6 outputs.
  * `wan2.7-image-edit`: Standard image editing model with faster generation speed, supporting multi-image reference, interactive editing, sequential generation, and max 2K output.
  * `wan2.7-image-pro-edit`: Professional image editing model supporting multi-image reference, interactive bounding-box editing, sequential generation, 1-9 input images, and max 2K output.

  ### Video Generation & Editing

  * `wan2.1-vace-plus`: Unified video editing model supporting five functions: multi-image reference, video repainting, local editing, video extension, and video outpainting.
  * `wan2.2-animate-mix`: Video character replacement model that swaps the main character with a reference image while preserving scene, lighting, and color tone.
  * `wan2.2-animate-move`: Motion transfer model that applies movement and expressions from a reference video to a character in a static image.
  * `wan2.6-r2v`: Reference-to-video model that generates from reference images or videos with multi-character interaction and role-playing, producing silent video by default.
  * `wan2.6-r2v-flash`: Faster reference-to-video model with audio or silent output switching, optimized for quick previews and cost-effective generation.
  * `wan2.7-r2v`: Advanced reference-to-video model using reference images/videos with prompt guidance, supporting multi-subject references, storyboard generation, and custom audio voice cloning.
  * `wan2.7-videoedit`: Multi-modal video editing model for style modification and edits with text/image/video inputs, with typical processing time of 1-5 minutes.
</Update>

<Update label="Apr 15, 2026" rss={{ title: "ByteDance Seedream 5.0 & Seedance 2.0 Integration", description: "Added ByteDance's new generation of models, including Seedream 5.0 Lite for high-res image generation and editing, and Seedance 2.0 multimodal series for advanced image-to-video and video-to-video generation." }}>
  ## ByteDance

  ### Seedream 5.0

  * `seedream-5.0-lite`: ByteDance Seedream 5.0 Lite text-to-image model with 2K/3K custom resolutions and configurable output format.
  * `seedream-5.0-lite-edit`: ByteDance Seedream 5.0 Lite Edit image-to-image model supporting single-image editing, multi-image fusion, and configurable output format.

  ### Seedance 2.0

  * `seedance-2.0-i2v`: Dreamina Seedance 2.0 image-to-video—generate from a text prompt with optional frame, image, and audio references.
  * `seedance-2.0-fast-i2v`: Faster Seedance 2.0 image-to-video with the same request parameters.
  * `seedance-2.0-v2v`: Dreamina Seedance 2.0 video-to-video—transform 1–3 reference clips with a text prompt and optional image or audio references.
  * `seedance-2.0-fast-v2v`: Faster Seedance 2.0 video-to-video with the same request parameters.
</Update>

<Update label="Apr 8, 2026" rss={{ title: "Google Model Suite Integration", description: "Added Google's full model suite including Gemini Nano Banana image generation and editing, Imagen 4.0 photorealistic image generation, and Veo 2/3/3.1 video generation with up to 4K resolution" }}>
  ## Google

  ### Nano Banana

  * `Nano Banana`: Nano Banana image generation model. Generates images from text prompts with support for 10 aspect ratios, delivering fast and cost-effective results.
  * `Nano Banana Pro`: Nano Banana Pro image generation model with higher quality output. Supports aspect ratio selection and output resolutions up to 4K.
  * `Nano Banana 2`: Nano Banana 2 multimodal image model supporting both text-to-image and image-to-image workflows, with 14 aspect ratios and resolutions from 512 to 4K.
  * `Nano Banana Edit`: Nano Banana image editing model. Transforms existing images based on prompt instructions with support for 10 aspect ratios.
  * `Nano Banana Pro Edit`: Nano Banana Pro image editing model with superior detail preservation and enhanced prompt adherence. Supports output resolutions up to 4K.
  * `Nano Banana 2 Edit`: Nano Banana 2 multimodal model in image-to-image editing mode. Requires a base64 data URI image input with support for multiple aspect ratios and resolutions from 512 to 4K.

  ### Imagen 4.0

  * `Imagen 4.0`: Google Imagen 4.0 standard text-to-image model delivering high-quality photorealistic images. Supports batch generation (up to 4 images), person generation control, and output resolutions up to 2K.
  * `Imagen 4.0 Ultra`: Google Imagen 4.0 Ultra text-to-image model with the highest quality output. Optimized for maximum detail and photorealism with batch generation and up to 2K resolution.
  * `Imagen 4.0 Fast`: Google Imagen 4.0 Fast text-to-image model optimized for speed. Supports batch generation (up to 4 images), multiple aspect ratios, and person generation control.

  ### Veo 3.1

  * `Veo 3.1 T2V`: Google's flagship text-to-video model supporting resolutions up to 4K and optional reference images (up to 3) for style or character consistency across generations. Duration: 4/6/8 seconds.
  * `Veo 3.1 Fast T2V`: A faster variant of Veo 3.1 with the same capabilities, including 4K resolution and reference image support. Duration: 4/6/8 seconds.
  * `Veo 3.1 I2V`: Google's flagship image-to-video model supporting resolutions up to 4K with person generation control. Duration: 4/6/8 seconds.
  * `Veo 3.1 Fast I2V`: A faster variant of Veo 3.1 I2V with the same capabilities, including 4K resolution support. Duration: 4/6/8 seconds.

  ### Veo 3

  * `Veo 3 T2V`: Google Veo 3.0 stable text-to-video model with resolutions up to 1080p and person generation control. Duration: 4/6/8 seconds.
  * `Veo 3 Fast T2V`: A faster variant of Veo 3 with the same parameter set, supporting resolutions up to 1080p. Duration: 4/6/8 seconds.
  * `Veo 3 I2V`: Google Veo 3.0 stable image-to-video model with resolutions up to 1080p and person generation control. Duration: 4/6/8 seconds.
  * `Veo 3 Fast I2V`: A faster variant of Veo 3 I2V with the same parameter set, supporting resolutions up to 1080p. Duration: 4/6/8 seconds.

  ### Veo 2

  * `Veo 2 T2V`: Google Veo 2.0 classic text-to-video model with flexible person generation policies (allow all, adult only, or disallow). Duration: 5/6/8 seconds.
  * `Veo 2 I2V`: Google Veo 2.0 classic image-to-video model with flexible person generation policies (allow adult or disallow). Duration: 5/6/8 seconds.
</Update>

<Update label="Feb 25, 2026" rss={{ title: "Kling Model Suite Integration", description: "Added Kling AI's full model suite including image generation (V1–V2.1), video generation (V1–V2.6 with audio), multi-image composition, avatar, video effects, virtual try-on, and more" }}>
  ## Kling

  ### Kling V1

  * `Kling V1 T2I`: Kuaishou's foundational text-to-image model offering fast, cost-effective 1K image generation with strong prompt adherence and multiple aspect ratios.
  * `Kling V1 I2I`: Kuaishou's first-generation AI image model using a diffusion transformer architecture, capable of generating 1K-resolution images with strong prompt adherence and realistic detail.
  * `Kling V1 T2V`: Kuaishou's first-generation text-to-video model generating 5s or 10s clips with camera motion presets (pan, tilt, zoom) and adjustable prompt relevance.
  * `Kling V1 I2V`: Kuaishou's first-generation image-to-video model that animates static images into 5s or 10s videos with motion brush support and adjustable prompt relevance.

  ### Kling V1.5

  * `Kling V1.5 T2I`: An enhanced text-to-image model with improved realism and subject/face reference support for generating consistent character images at 1K resolution.
  * `Kling V1.5 I2I`: An upgraded image-to-image model with improved realism, better prompt interpretation, and subject/face reference modes for precise character control.
  * `Kling V1.5 I2V`: The most feature-complete V1.x image-to-video model, adding simple camera motion control alongside motion brush and cfg\_scale for precise video generation.

  ### Kling V1.6

  * `Kling V1.6 T2V`: An improved text-to-video model with significantly better prompt adherence and visual quality over V1.5, supporting dual standard/professional generation modes.
  * `Kling V1.6 I2V`: An improved image-to-video model with significantly better prompt adherence and visual quality over V1.5, supporting first-and-last frame control for smooth transitions.
  * `Kling V1.6 MI2V`: Transforms up to 4 reference images into a cohesive video sequence with multi-element fusion, enabling character interaction and complex visual narratives.

  ### Kling V2

  * `Kling V2 T2I`: A next-generation text-to-image model with significantly improved detail and visual fidelity, supporting both 1K and 2K resolutions for professional output.
  * `Kling V2 New T2I`: A refined variant of V2 with updated model weights for sharper details, better consistency, and improved prompt-to-image alignment at up to 2K resolution.
  * `Kling V2 I2I`: A major generational leap in image quality and creativity, featuring enhanced style diversity and significantly improved visual fidelity over V1.5.
  * `Kling V2 New I2I`: A refined variant of Kling V2 with updated model weights for improved consistency, sharper details, and better prompt-to-image alignment.
  * `Kling V2 MI2I`: Combines up to 4 subject images with optional scene and style references into a single cohesive output, supporting subject fusion, scene replacement, and style transfer.
  * `Kling V2 Master T2V`: The V2-generation base text-to-video model producing cinematic-quality clips with superior motion realism and temporal coherence.
  * `Kling V2 Master I2V`: The V2-generation base image-to-video model delivering cinematic-quality animations with superior temporal coherence and smoother motion transitions.

  ### Kling V2.1

  * `Kling V2.1 T2I`: The latest and highest-quality text-to-image model in the Kling family, delivering state-of-the-art results at up to 2K resolution.
  * `Kling V2.1 I2I`: The latest cost-efficient image-to-image model offering studio-grade quality with faster rendering and excellent prompt adherence.
  * `Kling V2.1 MI2I`: The latest and highest-quality multi-image composition model, delivering superior subject fusion, scene replacement, and style transfer with up to 4 subject images.
  * `Kling V2.1 Master T2V`: The V2.1-generation text-to-video model with enhanced rendering quality, improved frame consistency, and studio-grade 1080p output.
  * `Kling V2.1 I2V`: A cost-efficient image-to-video model with advanced frame control and up to 1080p output, suitable for professional content creation.
  * `Kling V2.1 Master I2V`: The recommended high-quality image-to-video model in the V2.1 series, producing studio-grade 1080p videos with precise start and end frame control.

  ### Kling V2.5

  * `Kling V2.5 Turbo T2V`: A speed-optimized text-to-video model delivering cinematic 1080p videos with physics-accurate motion at \~30% lower cost than previous versions.
  * `Kling V2.5 Turbo I2V`: A speed-optimized image-to-video model delivering cinematic 1080p videos with physics-accurate motion at \~30% lower cost than previous versions.

  ### Kling V2.6

  * `Kling V2.6 T2V`: The first Kling text-to-video model to natively generate synchronized audio and video in one pass, including dialogue, ambient sounds, and lip-synced speech.
  * `Kling V2.6 I2V`: The first Kling image-to-video model to natively generate synchronized audio and video in a single pass, supporting dialogue, sound effects, and lip-synced speech alongside motion brush.

  ### Kling Avatar & Effects

  * `Kling Avatar`: Generates realistic talking-head videos from a reference image and audio input, with precise lip synchronization, expressive gestures, and support for multiple languages.
  * `Kling Video Effects`: Applies 212 preset creative video effects -- including dance, transformation, interaction, and animation styles -- to one or two person images for instant viral content.

  ### Kling Image Utilities

  * `Kling Image Expansion`: Intelligently extends images in any direction (up, down, left, right) with prompt-guided content generation, ideal for panorama creation, background extension, and canvas expansion.
  * `Kling Image Recognize`: Detects and segments image content into 4 categories -- object, head (with hair), face (without hair), and clothing -- returning segmentation masks synchronously.
  * `Kling Image O1`: A multimodal image generation model that accepts text, up to 10 reference images, and element inputs to produce 1K/2K images with precise style control and multi-reference feature extraction.

  ### Kolors Virtual Try-On

  * `Kolors Virtual Try-On V1`: AI-powered virtual clothing try-on built on the Kolors diffusion model, generating realistic fitting results from a person photo and a single garment image (tops, bottoms, or dresses).
  * `Kolors Virtual Try-On V1-5`: Enhanced virtual try-on model that supports both single garments and top+bottom outfit combinations, delivering higher-quality results with automatic clothing type detection.
</Update>

<Update label="Feb 4, 2026" rss={{ title: "MiniMax Model Suite Integration", description: "Added MiniMax Image-01, Hailuo 2.3/02, T2V-01, I2V-01, and S2V-01 series models for image and video generation" }}>
  ## MiniMax

  ### MiniMax Image-01

  * `MiniMax Image-01 T2I`: MiniMax's multimodal vision model that blends text-to-image generation with visual reasoning for seamless cross-modal tasks.
  * `MiniMax Image-01 I2I`: MiniMax's multimodal vision model that blends text-to-image generation with visual reasoning for seamless cross-modal tasks.
  * `MiniMax Image-01-Live I2I`: MiniMax's multimodal vision model that blends text-to-image generation with visual reasoning for seamless cross-modal tasks.

  ### Hailuo

  * `Hailuo 2.3 T2V`: Hailuo 2.3 not only generates high-quality videos from text or images with exceptional instruction following, but also redefines realism through its state-of-the-art mastery of extreme physics.
  * `Hailuo 2.3 I2V`: Hailuo 2.3 not only generates high-quality videos from text or images with exceptional instruction following, but also redefines realism through its state-of-the-art mastery of extreme physics.
  * `Hailuo 2.3 Fast I2V`: Hailuo 2.3 Fast efficiently transforms images into dynamic videos with extreme physics mastery. It delivers exceptional value by generating high-quality, realistic motion at a reduced computational cost.
  * `Hailuo 02 T2V`: Hailuo 02 masters both text-to-video and image-to-video generation with exceptional instruction following, while setting a new standard in visual realism through its extreme physics simulation.
  * `Hailuo 02 I2V`: Hailuo 02 masters both text-to-video and image-to-video generation with exceptional instruction following, while setting a new standard in visual realism through its extreme physics simulation.
  * `Hailuo 02 FL2V`: Hailuo 02's FL2V function provides unprecedented creative control by generating dynamic videos between a user-defined start and end frame. This feature not only masters extreme physics and complex transitions but also enables the novel capability to deduce a story leading up to a specified final image.

  ### MiniMax T2V-01

  * `MiniMax T2V-01`: MiniMax T2V-01 is a text-to-video model that uniquely delivers professional-level camera movement control, transforming written prompts into cinematic video clips with dynamic shots.
  * `MiniMax T2V-01-Director`: T2V-01-Director is a text-to-video AI model that offers precise camera control, allowing users to create professional-looking video clips with cinematic movements through a variety of lens instructions.

  ### MiniMax I2V-01

  * `MiniMax I2V-01`: MiniMax I2V-01 is a foundational image-to-video model that converts static pictures into high-quality video sequences, delivering smooth animation especially optimized for illustrations and anime styles.
  * `MiniMax I2V-01-Director`: T2V-01-Director is a text-to-video AI model that offers precise camera control, allowing users to create professional-looking video clips with cinematic movements through a variety of lens instructions.
  * `MiniMax I2V-01-Live`: I2V-01-Live is an image-to-video model specifically optimized for animating 2D illustrations and cartoon styles, enhancing smoothness and vivid motion to bring static art to life with fluid character movements and natural expressions.

  ### MiniMax S2V-01

  * `MiniMax S2V-01`: The MiniMax S2V-01 is a specialized subject reference video model designed to solve the industry challenge of character consistency. It can generate dynamic videos where the main character's identity stays highly consistent across every frame, using just a single photo as a reference and at a computational cost significantly lower than traditional solutions.
</Update>

<Update label="Jan 31, 2026" rss={{ title: "Alibaba Video Models & ByteDance Seedream/Seedance Series", description: "Added Alibaba Wan video generation models and ByteDance Seedream image generation and Seedance video generation models" }}>
  ## Alibaba

  ### Wan

  * `Wan 2.6 T2V`: The Wan text-to-video model can generate videos from a single sentence, presenting rich artistic styles and cinematic quality. Wan 2.6 introduces multi-shot narrative capabilities and supports both automatic dubbing and uploading custom audio files.
  * `Wan 2.6 I2V Flash`: The Wan image-to-video model can generate videos using prompts and image references, featuring rich artistic styles and cinematic quality. Wan 2.6 introduces multi-shot narrative capabilities and supports both automatic dubbing and uploading custom audio files.
  * `Wan 2.6 I2V`: The Wan image-to-video model can generate videos using prompts and image references, featuring rich artistic styles and cinematic quality. Wan 2.6 introduces multi-shot narrative capabilities and supports both automatic dubbing and uploading custom audio files.
  * `Wan 2.5 T2V Preview`: The Wan text-to-video model can generate videos from a single sentence, presenting rich artistic styles and cinematic quality. Wan 2.5 supports automatic dubbing and uploading custom audio files.
  * `Wan 2.5 I2V Preview`: The Wan image-to-video model can generate videos using prompts and image references, featuring rich artistic styles and cinematic quality. Wan 2.5 supports automatic dubbing and uploading custom audio files.
  * `Wan 2.2 T2V Plus`: The Wan text-to-video model can generate videos from a single sentence, presenting rich artistic styles and cinematic quality. Wan 2.2 features more accurate instruction understanding, stable and smooth motion generation, and richer details.
  * `Wan 2.2 I2V Flash`: The Wan image-to-video model can generate videos using prompts and image references, presenting rich artistic styles and cinematic-quality visuals. Wan 2.2 Flash features ultimate generation speed, with more accurate instruction understanding and camera control, consistent visual elements, and comprehensively improved stability and success rates.
  * `Wan 2.2 I2V Plus`: The Wan image-to-video model can generate videos using prompts and image references, presenting rich artistic styles and cinematic-quality visuals. Wan 2.2 Plus features more accurate instruction understanding, controllable camera movements, consistent visual elements, and comprehensively improved stability and success rates, delivering richer generated content.
  * `Wan 2.2 KF2V Flash`: The Wan First-and-Last-Frame Video Generation Model: simply provide the first and last frame images, and it can generate a smooth, fluid dynamic video based on the prompt.

  ### Wanx

  * `Wanx 2.1 T2V Turbo`: Wan text-to-video model can generate videos with a single sentence, featuring rich artistic styles and cinematic quality. Wanx 2.1 Turbo offers high cost-effectiveness.
  * `Wanx 2.1 T2V Plus`: Wan text-to-video model can generate videos from a single sentence, featuring rich artistic styles and cinematic quality. Wanx 2.1 Plus offers even more refined visuals.
  * `Wanx 2.1 I2V Plus`: The Wan image-to-video model can generate videos using prompts and image references, presenting rich artistic styles and cinematic-quality visuals. Wanx 2.1 Plus offers even more refined image quality.
  * `Wanx 2.1 I2V Turbo`: The Wan image-to-video model can generate videos using prompts and image references, featuring rich artistic styles and cinematic-quality visuals. Wanx 2.1 Turbo offers high cost-effectiveness.
  * `Wanx 2.1 KF2V Plus`: The Wan First-and-Last-Frame Video Generation Model: simply provide the first and last frame images, and it can generate a smooth, fluid dynamic video based on the prompt.

  ## ByteDance

  ### Seedream

  * `Seedream 3.0 T2I`: Seedream 3.0 is a Chinese-English bilingual image generation foundation model that supports native high resolution. Its overall capabilities are comparable to GPT-4o, ranking it among the world's top tier. Faster response speed; more accurate small text generation and enhanced text typesetting effect; strong instruction-following ability, improved aesthetics & structure, and good fidelity and detail performance.
  * `Seedream 4.0 T2I`: A SOTA-level multimodal image creation model based on a leading architecture. It breaks the creative boundaries of traditional text-to-image models and natively supports text, single-image, and multi-image inputs. Users can freely fuse text and images, and in the same model, realize diverse applications like multi-image fusion creation based on subject consistency, image editing, and group image generation.
  * `Seedream 4.0 I2I`: A SOTA-level multimodal image creation model based on a leading architecture. It breaks the creative boundaries of traditional text-to-image models and natively supports text, single-image, and multi-image inputs. Users can freely fuse text and images, and in the same model, realize diverse applications like multi-image fusion creation based on subject consistency, image editing, and group image generation.
  * `Seedream 4.5 T2I`: Seedream 4.5 is the latest in-house image generation model developed by ByteDance. Compared with Seedream 4.0, it delivers comprehensive improvements—especially in editing consistency, including better preservation of subject details, lighting, and color tone. It also enhances portrait refinement and small-text rendering. The model's multi-image composition capabilities have been significantly strengthened.
  * `Seedream 4.5 I2I`: Seedream 4.5 is the latest in-house image generation model developed by ByteDance. Compared with Seedream 4.0, it delivers comprehensive improvements—especially in editing consistency, including better preservation of subject details, lighting, and color tone. It also enhances portrait refinement and small-text rendering. The model's multi-image composition capabilities have been significantly strengthened.

  ### Seededit

  * `Seededit 3.0 I2I`: SeedEdit 3.0 is an image editing model that supports editing images via text instructions. SeedEdit 3.0 is trained based on the text-to-image model Seedream 3.0, integrated with diverse data fusion methods and specific reward models. Its ability to preserve image subjects, backgrounds, and details has been further improved, especially in scenarios such as portrait editing, background modification, perspective and light conversion.

  ### Seedance

  * `Seedance 1.0 Lite T2V`: ByteDance's small-parameter version of the video generation model achieves excellent video generation quality while significantly increasing generation speed, balancing both effect and efficiency.
  * `Seedance 1.0 Lite I2V`: ByteDance's small-parameter version of the video generation model achieves excellent video generation quality while significantly increasing generation speed, balancing both effect and efficiency.
  * `Seedance 1.0 Pro Fast T2V`: Seedance 1.0 pro fast, inheriting the core advantages of the Seedance 1.0 pro model, has a 3x faster generation speed and a 72% lower price. It is a video generation model that achieves an excellent balance among quality, speed, and cost.
  * `Seedance 1.0 Pro Fast I2V`: Seedance 1.0 pro fast, inheriting the core advantages of the Seedance 1.0 pro model, has a 3x faster generation speed and a 72% lower price. It is a video generation model that achieves an excellent balance among quality, speed, and cost.
  * `Seedance 1.0 Pro T2V`: Seedance 1.0 is a video generation foundation model launched by ByteDance. As the large-parameter version of this model series, Seedance 1.0 Pro has unique multi-shot narrative capabilities and performs excellently across all dimensions. It has made breakthroughs in semantic understanding and instruction-following capabilities, and can generate 1080P high-definition videos that are smooth in motion, rich in details, diverse in style, and have cinematic-level aesthetics.
  * `Seedance 1.0 Pro I2V`: Seedance 1.0 is a video generation foundation model launched by ByteDance. As the large-parameter version of this model series, Seedance 1.0 Pro has unique multi-shot narrative capabilities and performs excellently across all dimensions. It has made breakthroughs in semantic understanding and instruction-following capabilities, and can generate 1080P high-definition videos that are smooth in motion, rich in details, diverse in style, and have cinematic-level aesthetics.
  * `Seedance 1.5 Pro T2V`: Seedance 1.5 pro is ByteDance's new professional-grade audio-visual co-generation model. It builds on multi-shot narrative and HD generation capabilities, supporting integrated audio and video output for a unified creation experience (visuals, human voice, music, and sound effects). The model includes a start/end frame feature, allowing creators to lock the video's style, composition, and characters by setting the first and last frames.
  * `Seedance 1.5 Pro I2V`: Seedance 1.5 pro is ByteDance's new professional-grade audio-visual co-generation model. It builds on multi-shot narrative and HD generation capabilities, supporting integrated audio and video output for a unified creation experience (visuals, human voice, music, and sound effects). The model includes a start/end frame feature, allowing creators to lock the video's style, composition, and characters by setting the first and last frames.
</Update>

<Update label="Jan 26, 2026" rss={{ title: "Alibaba Model Suite Integration", description: "Added comprehensive Alibaba AI models including Wan, Wanx, Qwen, WordArt, and AI Try-On series" }}>
  # Alibaba

  ### Wan

  ### Wanx

  * `Wanx 2.1 T2I Turbo`: The Wan text-to-image model generates beautiful images from text. Supports multiple styles and generates quickly.
  * `Wanx 2.1 T2I Plus`: The Wan text-to-image model generates beautiful images from text. Supports multiple styles and generates images with rich details.
  * `Wanx 2.1 Image Edit`: Can achieve diverse image editing through simple instructions, suitable for scenarios such as image expansion, watermark removal, style transfer, image restoration, and image enhancement.
  * `Wanx 2.0 T2I Turbo`: The Wan text-to-image model excels in textured portraits and creative design, offering great value for money.
  * `Wanx Style Repaint V1`: Can perform various stylized redraws on input portrait images, allowing the newly generated images to maintain the original facial features while presenting different artistic painting effects.
  * `Wanx Sketch to Image Lite`: Based on input hand-drawn sketches and text descriptions, exquisite doodle artworks can be generated.
  * `Wanx Background Generation V2`: Can expand and generate background information based on input foreground image materials, achieving natural light and shadow fusion effects, as well as delicate and realistic image generation.

  ### Qwen

  * `Qwen Image Plus`: The qwen-image excels in text rendering, particularly for Chinese text. Currently more cost-effective than qwen-image.
  * `Qwen Image`: The qwen-image excels in text rendering, particularly for Chinese text.
  * `Qwen Image Edit Plus`: Supports precise bilingual Chinese-English text editing, color adjustment, detail enhancement, style transfer, object addition and removal, and other operations, enabling complex image and text editing.
  * `Qwen Image Edit Plus 2025-12-15`: Supports precise bilingual Chinese-English text editing, color adjustment, detail enhancement, style transfer, object addition and removal, and other operations, enabling complex image and text editing.
  * `Qwen Image Edit Plus 2025-10-30`: Supports precise bilingual Chinese-English text editing, color adjustment, detail enhancement, style transfer, object addition and removal, and other operations, enabling complex image and text editing.
  * `Qwen Image Edit`: Supports precise bilingual Chinese-English text editing, color adjustment, detail enhancement, style transfer, object addition and removal, and other operations, enabling complex image and text editing.
  * `Qwen MT Image`: Supports translating text from images in 11 languages into Chinese or English, accurately preserving original layout and content information, and provides custom features such as terminology definitions, sensitive word filtering, and image subject detection.

  ### WordArt

  * `WordArt Semantic`: Can creatively deform the edge contours of input text based on prompt content, achieving more creative uses of a font, and returns a black-background white mask image containing the text.
  * `Wordart Texture`: Can perform creative design on input text content or text images, adding materials and textures to the text based on prompt content to achieve effects such as 3D prominence or scene integration.

  ### AI Try-On

  * `AI Try-On`: A virtual try-on image generation model that generates try-on images based on portrait photos and clothing images.
  * `AI Try-On Plus`: Compared to the AI Try-On, there are improvements in image clarity, clothing texture details, and logo restoration effects, but the generation time is longer.
  * `AI Try-On Parsing V1`: Supports segmentation of model images and clothing images, and can be used for pre-processing and post-processing of AI fitting room images.
  * `AI Try-On Refiner`: Perform secondary generation on the effect images created by AI virtual try-on, outputting finely polished virtual try-on effect images with higher fidelity.

  ### Image Utilities

  * `Image Outpainting`: Allows for free image extension, supporting image rotation and expansion through both expansion coefficient and pixel count methods.
</Update>