Model with open mouth

FLUX.1 Kontext is a breakthrough multimodal image editing model from Black Forest Labs that supports simultaneous text and image input, intelligently understanding image context and performing precise editing. Its development version is an open-source diffusion transformer model with 12 billion parameters, featuring excellent context understanding and character consistency maintenance, ensuring that key elements such as character features and composition layout remain stable even after multiple iterative edits. Instruction for using FLUX.1 Kontext : https://www.seaart.ai/articleDetail/d17ps95e878c73efnhfg

geminiで下記のプロンプトとお気に入りの画像を使って例のような画像が生成できます。 生成した16パターンの画像をこのアプリに通すと、16個のスタンプに切り分けて、透過pngにします。 target_model: "Nano Banana Pro" task: "Sticker Style Sheet Generation for Global Audience (Comment Edition)" aspect_ratio: "1:1 Square" style: "Kawaii chibi character digital illustration, clean vector lines, soft pastel colors, spring-themed. Each sticker has a thick white outline. Vibrant and expressive." grid_structure:  layout: "4x4 grid (16 distinct stickers on a single sheet)"  background: "Clean, solid soft mint background" stickers_content:  row_1:  - sticker_1: "Chibi character jumping with stars, Text: 'すごい！'"  - sticker_2: "Chibi character with cool sunglasses and a smirk, Text: 'かっこいい！'"  - sticker_3: "Chibi character leaning back confidently, blue sparkles, Text: 'クール！'"  - sticker_4: "Chibi character with sparkling eyes and rose petals, Text: 'ビューティフル！'"  row_2:  - sticker_5: "Chibi character bowing with a heart, Text: 'サンクス！'"  - sticker_6: "Chibi character giving a big thumbs up, Text: 'いいね！'"  - sticker_7: "Chibi character holding a trophy or medal, Text: '最高！'"  - sticker_8: "Chibi character applauding with a big smile, Text: '天才！'"  row_3:  - sticker_9: "Chibi character with wide eyes and open mouth, shocked by beauty, Text: '神！'"  - sticker_10: "Chibi character with heart-shaped eyes, Text: '大好き！'"  - sticker_11: "Chibi character blushing and hiding face, Text: '尊い...'"  - sticker_12: "Chibi character with a fist pump and fire background, Text: '激アツ！'"  row_4:  - sticker_13: "Chibi character crying happy tears, Text: '感動！'"  - sticker_14: "Chibi character winking and pointing at viewer, Text: 'センス◎'"  - sticker_15: "Chibi character looking through a magnifying glass, Text: '神作！'"  - sticker_16: "Chibi character throwing flower confetti, Text: 'おめでとう！'" text_rendering:  font: "Playful, bold, hand-drawn Japanese bubble typography"  placement: "Text is clearly integrated within each cell, easy to read"  accuracy: "Render exact Japanese text with correct characters" output_quality:  details: "Meticulous character expressions suited for reactions, professional sticker layout, high-end vector aesthetic"

Upload the image of 4x4 stickers created by Gemini. Thanks to Makoto for sharing.Here's how to make a 4 x 4 image using Gemini: copy and paste to Gemini and upload the image to Gemini as a character:target_model: “Nano Banana 2”task: "Sticker Style Sheet Generation for Global Audience (Comment Edition)"aspect_ratio: "1:1 Square"style: "Kawaii chibi character digital illustration, clean vector lines, soft pastel colors, spring-themed. Each sticker has a thick white outline. Vibrant and expressive."grid_structure:layout: "4x4 grid (16 distinct stickers on a single sheet)"background: "Clean, solid soft mint background"stickers_content:row_1:- sticker_1: "Chibi character jumping with stars, Text: 'Amazing!'"- sticker_2: "Chibi character with cool sunglasses and a smirk, Text: 'Cool!'"- sticker_3: "Chibi character leaning back confidentially, blue sparkles, Text: 'Cool!'"- sticker_4: "Chibi character with sparkling eyes and rose petals, Text: 'Beautiful!'"row_2:- sticker_5: "Chibi character bowing with a heart, Text: 'サンクス！'"- sticker_6: "Chibi character giving a big thumbs up, Text: 'いいね！'"- sticker_7: "Chibi character holding a trophy or medal, Text: '最高！'"- sticker_8: "Chibi character applauding with a big smile, Text: '天才！'"row_3:- sticker_9: "Chibi character with wide eyes and open mouth, shocked by beauty, Text: '神！'"- sticker_10: "Chibi character with heart-shaped eyes, Text: 'I love you!'"- sticker_11: "Chibi character blushing and hiding face, Text: 'Precious...'"- sticker_12: "Chibi character with a fist pump and fire background, Text: 'Super hot!'"row_4:- sticker_13: "Chibi character crying happy tears, Text: 'Impressed!'"- sticker_14: "Chibi character winking and pointing at viewer, Text: 'Sense◎'"- sticker_15: "Chibi character looking through a magnifying glass, Text: '神作！'"- sticker_16: "Chibi character throwing flower confetti, Text: 'おめでとう！'"text_rendering:font: "Playful, bold, hand-drawn Japanese bubble typography"placement: "Text is clearly integrated within each cell, easy to read"accuracy: "Render exact Japanese text with correct characters"output_quality:details: “Meticulous character expressions suited for reactions, professional sticker layout, high-end vector aesthetic”

A cute baby otter is floating in the water with an adorable and joyful expression on its face. Its big, shiny black eyes are wide open, giving it an innocent and curious look. The otter’s mouth is open in what seems like a playful smile, showing its tiny teeth. Its small ears are perked up, adding to its charm. The fur is fluffy, soft, and slightly wet, glistening under the light.

输入图像

⚠注記: このツールは個人使用のみを目的としています. 生成されたコンテンツの共有は厳しく禁止されています, アプリの作成者やSeaArtは、ユーザーのアクションや本アプリで作成された作品に責任を負いません.このツールを使用した場合、上記を理解し同意したものとします.

お気に入りの写真やモデル（X）の雰囲気やスタイルを、他の画像（そして）のポーズや構図に合わせて表現する、新感覚のクリエイティブ体験を提供します！例えば、Aさんの優雅な姿をBさんの大胆なポーズに適用することで、まったく新しいビジュアルを作り出すことができます。自分だけのカスタム画像を作成SNSのコンテンツやアート制作で活用好きな構図やスタイルを試して遊ぶ例：「脚を開くポーズを作る方法」1. ベース画像（X）を選ぶあなたがスタイルにしたい顔や服装の画像を選びます。2. ポーズ画像（そして）を選ぶそしてには、脚を開いたポーズやあなたが試したい構図の画像を選択します。3. ミックス！ワンクリックで、Xのスタイルがそしてのポーズに！→ Xの魅力を活かしながら、大胆なそしてのポーズを取り入れた作品が完成！Xとそしてを組み合わせてオリジナルアートを作成スタイルやポーズの可能性を無限に広げる！あなたの創造性を発揮してみてください！

女性の写真をアップロードして結果を生成する

可选择视频时长，副工作流可选择lora.想要使用 lora，首先点击右侧的副工作流,分别选择同一 lora 的高噪声模型和低噪声模型.在 lora 模型页面，你可设置模型版本的搜索条件: wan2.2_i2v_A14b.打开lora模型的详情页面，查看触发词和使用示例.

Image-to-video conversion tool based on the SeaArt model，Combining KSampler technology，Achieve high-quality video synthesis。Supports creating dynamic imagery from static images，Adjustable resolution and effects，Suitable for creative media content production and editing scenarios。

SeaArt 官方模型加载器已经支持FLUX标签和筛选，所以之前对于怎么找flux checkpoint和lora的内容就不再赘述。 目前flux是支持多lora的，但为避免应用界面过于复杂，我仅开放了一个lora位，另外默认加载了FaeTastic Details和mjV6，权重均为1。 单图的算力消耗约30PT，2-4图则会降低单图消耗，最低能到19PT每张图。建议增加出图的batch size获得最高的性价比。 SeaArt's official model loader already supports FLUX tags and filtering, so I won't go into detail about how to find flux checkpoints and lora before. At present, flux supports multiple lora, but in order to avoid the application interface being too complicated, I only open one lora bit, and the FaeTastic Details and mjV6 are loaded by default, with a weight of 1. The computing power consumption of a single image is about 30PT, and the consumption of a single image will be reduced by 2-4 images, and the minimum can be 19PT per image. It is recommended to increase the batch size of the plot to obtain the highest cost performance.

Based on Wan Advanced media creation tools for models，Able to convert from images to videos。Combining multiple Lora model loading and VAE decoding technologies，Achieve fine and realistic video output，Suitable for the creative project needs of filmmakers and visual artists。

You only need to upload a picture with a clear subject, and then click Create to get a 3D model of the subject in the picture. The generated PBR physical material map has a great effect. Here are the instructions for this application: 1. The generated model is a triangular face, and the number of triangular faces is within 50,000 faces; 2. The generated model format is given to GLB, and you can use Blender and other software to open it; 3. The generated map is a PBR physical material map, which are: BASE COLOR, METALLIC ROUGHNESS, NORMALMAP, a total of three maps; among which the METALLIC ROUGHNESS map contains METALLIC and METALLIC ROUGHNESS: Green channel = METALLIC, Blue channel = ROUGHNESS;

HyperReal Control XL is an advanced workflow designed to generate ultra-detailed, natural-looking images, with full control over every stage of the generation process. It is built for users who want to go beyond the standard SDXL look and achieve a more credible, organic, and consistent result, suitable for both classic artistic creations and more mature or expressive visuals, without sacrificing quality. 🔧 Main Features Add up to 6 LoRA models simultaneously Free activation / deactivation of every module Targeted inpainting to correct areas that are critical for realism: - face - hands - feet - eyes - mouth Optional Z-Turbo SDXL pass to: - enhance micro-details - reduce overly smooth or artificial textures - fine-tune realism using the denoise parameter Final upscale for clean, high-quality output 🎛️ Full User Control 🔹 Z-Turbo Denoise - How much the image is transformed The denoise setting controls how strongly the realism engine modifies the image. - Low denoise → minimal changes, softer look - Medium denoise → clearer details, more natural result - High denoise → stronger transformation, enhanced realism 👉 Higher denoise = stronger correction and more realism. 🔹 LoRA Settings — Strength and influence Each LoRA comes with two easy-to-understand controls: Model Strength → how strongly the LoRA affects the visual appearance (low = subtle, high = dominant) CLIP Strength → how much the LoRA influences how the prompt is interpreted (useful when the LoRA must be followed very closely) 🔹 Additional Adjustable Parameters - Fully editable positive and negative prompts - Custom image size (width & height) - Every module can be enabled or disabled independently ⏱️ Generation Time & Cost This workflow adapts to your level of precision: - Minimal setup → ~20 seconds - All features enabled → up to ~2 min 15 s 👉 The more features you activate, the more processing is applied - and the finer the result becomes. ✨ Who Is It For? - Creators looking for advanced realistic rendering - Users who want precise control, without forced automation Beginners and advanced users who need a powerful yet understandable workflow, adaptable to different styles and intensity levels, while remaining clean and well-controlled

更多有趣应用在主页领取，上传写真图片，选择裂变图片数量

Animate-ify's cutting-edge AI model effortlessly transforms static images into dynamic, naturally moving videos with just one click. Leveraging advanced image recognition, state-of-the-art text encoding models (umt5-xxl, open-clip-xlm-roberta), and sophisticated AI animation techniques, the model generates smooth, realistic video animations instantly. Key Enhancements: Advanced AI Models: Integrated WanVideoSampler powered by the robust Wan2.1 engine, ensuring smooth transitions and natural movements. Superior Encoding: Utilizes high-performance text encoders (umt5-xxl-enc and open-clip-xlm-roberta), enabling detailed interpretation of prompts for precise animation control. Optimized Resolution: Outputs videos in crisp 720p resolution with optimized encoding (fp8), reducing file size while preserving clarity and detail. Adaptive VAE Technology: Employs the optimized Wan2_1 VAE, enhancing the visual fidelity and color accuracy of animated outputs. Flexible Generation: Adjustable frame count and aspect ratio scaling ensure consistent quality across diverse image inputs. Animate-ify’s AI model guarantees compelling, shareable video results, perfectly suited for creators, marketers, and casual users aiming for visually appealing animated content without complex editing workflows.

Flux2 is good ,better than Naxx Banana2 . But it was too big and heavy as open source Model.However , with Lightning , it works fast and efficiently. You can use only one Image with this APP (if you more , use workflow) but it works really well only with Prompt.

This App inserts a face in a target image using a LORA (Flux-based) of your choice that must be capable of drawing a particular face of interest (for example a Marilyn Monroe LORA). Additional mild changes may be done to head orientation, mouth and eyes. Three images (attempts/variations) will be generated.LORA Strength : Each LORA has its own optimal strength, usually between 0.8 and 1.0. Suggested value is 0.9.Face selector : If there's more than one face in the target image, choose the one to modify with a number. Faces are enumerated from biggest to smallest starting at zero. If faces are too close together, set the "Tight" option to "Yes" to try avoid distortions. Face expression : Optional. A prompt to midly adjust the face expression or facial features like eye color. This is largely dependent on the chosen LORA's ability to produce the desired prompt. Write "none" to ignore this option.Aggresive : The third image generated is always more aggresive in seeking changes, which may lead to distorted results with some LORAs. If you're consistently getting a bad third option, set this option to zero.Result resolution : Optional. The amount of megapixels wanted in the resulting image, usually between 0.3 and 2. Leave at zero to preserve the original image size.Mouth options : Optional. Better ignore if the face in the target image already has the right mouth form. They are:0 = unchanged1 = wide smile2 = open mouth3 = seriousEyes options : Optional. Better ignore if the face in the target image already has the right eyes form. They are:0 = unchanged1 = looking down2 = looking up3 = looking left4 = looking right5 = looking at viewerModifiers for eyebrows, eyelids and head rotations are optional. Leave at zero to ignore them.

Utilize Wan 2.1 and SeaArt model，Through intelligent image-to-video conversion technology，Achieve dynamic content creation。Support multiple LoRA plugins，To enhance detail processing and style transfer，Meet high、middle、Video generation requirements for different scenarios in low-noise environments，Is the ideal tool for digital art designers and animators。

HiDream-I1 es un modelo de texto a imagen, oficialmente de código abierto por HiDream-ai, El modelo tiene 17 mil millones de parámetros y se publica bajo la licencia MIT , lo que permite su uso en proyectos personales, investigación científica y uso comercial. Actualmente, presenta un excelente rendimiento en múltiples pruebas de referencia.

Advanced image processing application based on Majicmix model and ControlNet technology。Achieve precise human body adjustment through Openpose posture control，Enhance the realism and detail expression of photos。Suitable for professional retouching and creative needs for portrait photography。

ATSW1.0 📌Auto show model🚩 AI 应用简介 ATSW1.0 系列中的 Auto show model🚩 是一款专注于打造专业车展模特形象的创新 AI 应用，专为用户生成与汽车完美融合的时尚视觉内容而生。用户上传照片或输入创意需求，即可快速生成堪比专业车展现场的模特大片，让每个人都能化身汽车品牌的闪耀代言人 ✨🚗。 ATSW1.0 📌Auto show model🚩以 AI 技术打破专业车展模特的创作壁垒，让每个人都能轻松演绎汽车与时尚的完美结合，用科技助力汽车文化的个性化表达，开启全民皆可成为车展焦点的视觉创新时代 🌟。

FSLW 1.0📌CMS-3D-Art🚩 工作流 AI 应用简介 FSLW 1.0（Flux-Style LoRA 工作流）是一款专为CMS-3D-Art 三维艺术设计与生成打造的革命性 AI 应用，融合了 Flux 风格的动态美学与 LoRA（低秩自适应）技术的高效算力 ✨。它打破传统 3D 创作壁垒，赋能艺术家、设计师及数字艺术爱好者，只需上传一张照片或创意草图📸，即可瞬间将其转化为极具沉浸感的 CMS-3D-Art 作品🖼️→🎨，让三维创意表达变得前所未有的高效与震撼。 该工作流的核心优势在于： 🎨 智能 3D 风格重构 系统深度解析 Flux 风格的流动线条、动态结构与光影层次，自动将其转化为 3D 模型的几何拓扑与材质纹理。无论是流畅的曲面设计、富有张力的立体构图，还是细腻的光影渐变，都能精准复刻 CMS-3D-Art 的未来感与科技感。 ⚙️ 极速 3D 模型生成 依托 LoRA 技术的轻量化微调，FSLW 1.0 以极低的计算成本实现 AI 模型的高效优化，快速生成高精度 3D 模型⚡。即使是复杂的机械结构或有机形态，也能在短时间内完成建模，大幅缩短从创意到原型的周期。 🖥️ 全流程工艺适配 系统根据设计自动匹配最佳 3D 工艺参数，包括建模算法（多边形建模、曲面建模）、渲染引擎（实时渲染、光线追踪）以及输出格式（OBJ、STL、GLB）。同时模拟多种材质效果（金属的光泽、玻璃的透明感、布料的褶皱），确保数字模型完美适配 3D 打印、虚拟渲染或元宇宙场景。 📱 极简交互体验 用户只需上传素材，无需掌握专业 3D 软件，即可一站式完成从 2D 到 3D 的转化全流程。通过直观的 “上传→生成→导出” 工作流📸→✓→📥，真正实现 “一键生成 3D 艺术” 的便捷性，让零基础用户也能轻松驾驭专业级 3D 创作。 无论是影视动画、游戏建模、工业设计，还是元宇宙场景搭建，FSLW 1.0📌CMS-3D-Art🚩都为三维艺术领域提供了颠覆性的解决方案。它重新定义了 3D 创作的边界，让专业级 CMS-3D-Art 设计触手可及，开启数字艺术的新纪元🌟。

🎙️🎬 SeaArt SonoCast I2V: Animación con Voz y Sincronía¿Para qué sirve exactamente?A diferencia de otros modelos que solo generan movimiento corporal, SonoCast I2V está especializado en la sincronía labial (lipsync) y la generación de voz. Su función es que un personaje en una imagen estática no solo se mueva, sino que se comunique con total coherencia, sincronizando los gestos con el audio generado o cargado.Principales usos:Crear "Avatares de Presentación": Lograr que personajes o figuras fotorrealistas den discursos, mensajes o anuncios con una presencia profesional frente a la cámara.Publicidad de Alta Estética: Ideal para promocionar productos de belleza (como el ejemplo del shampoo), donde la modelo se expresa de forma cautivadora y elegante, manteniendo una estética cinematográfica.Generación de Audio Integrada: Permite crear el discurso al mismo tiempo que el video, asegurando que cada fonema coincida perfectamente con el movimiento de la boca.Contenido Narrativo: Crear clips de personajes originales compartiendo historias, enviando saludos o narrando breves crónicas con una voz personalizada.En resumen: SeaArt SonoCast I2V es la herramienta clave cuando la prioridad es la expresión comunicativa. No se trata solo de movimiento físico, sino de que el sujeto transmita emociones y hable con una identidad sonora definida por ti.