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Öne Çıkan İş Akışları

LTX-2.5_distilled

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LTX-2.5 is a new-generation open-weight audiovisual generation model from LTX, capable of simultaneously generating high-quality video and synchronized audio in a single pass. It supports text-to-video, image-to-video, and start/end-frame-guided video generation, while delivering enhanced visual detail, motion stability, comprehension of complex prompts, and consistency across long-sequence content.Compared to LTX-2.3, LTX-2.5 introduces an all-new Diffusion Video Decoder that effectively mitigates issues such as blur, texture degradation, and loss of character detail during high-speed motion. It also incorporates native multi-shot generation capabilities, enabling the creation of multiple consecutive shots in a single run while maintaining—to the greatest extent possible—consistency in characters, scenes, lighting, style, and audio across shot transitions.The model utilizes an LTX-customized Gemma 4 12B text encoder, offering superior comprehension of multiple characters, actions, cinematic language, lighting, and complex scene descriptions. It also supports automatic duration prediction, dynamically matching the video length to the actions and scene content specified in the prompt. Furthermore, LTX-2.5 supports native 4K HDR, frame rates up to 50 FPS, and RAW workflows, providing greater flexibility for post-production in film, television, and high-quality video creation.As an open-weight model, LTX-2.5 supports local deployment, LoRA, and fine-tuning. Balancing generation speed, controllability, and openness, it is well-suited for applications such as short films, advertisements, character animation, multi-shot storytelling, and professional video production.
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Yeni Seçim

Anime to Real|One-Click Photoreal Redraw Workflow

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This is a high-quality workflow designed for anime-to-real conversion.Powered by Qwen’s strong image editing capability and enhanced with xiaozhi’s LoRA, it can stably redraw anime characters into realistic human portraits while preserving core character identity. At the same time, it helps reduce the awkward proportion and perspective issues that often happen when the result follows the original anime structure too rigidly, making the final image look more natural and visually convincing.After the initial realistic redraw, the workflow uses Z-Image to refine the texture and reduce the plasticky skin look that can sometimes appear in Qwen-generated results. This helps produce more natural skin, cleaner facial texture, and a more photographic overall finish.Finally, SeedVR2 is used for super-resolution upscaling to further enhance sharpness, restore fine details, and reduce the slightly dirty or noisy look that may occasionally appear after Z-Image refinement.The full node setup and parameters have already been organized and prepared, so there is no need to build the workflow manually. Just upload your image and click generate to experience a clean and efficient anime-to-real conversion pipeline.Perfect for:Anime to real portrait conversionStylized character to realistic human redrawCharacter redesignPoster-quality portrait generationAI image transformation and refinementIf you want a workflow that delivers more stable, more natural, and more detailed anime-to-real results, this one is definitely worth trying.
ANNO_Yoo杏野
Ödül etkinliği
Temel
Video oluşturma
Ses üretimi
3D üretimi
FLUX
Tarz
Tasarım
Fotoğrafçılık
Görüntü işleme
Yaratıcı kullanım
MimiMax H3 Motion

4.8

MimiMax H3 Motion Credit to Seaart. Customized from Seaart workflow.### ⚡ FAST TEST MODE (Save Credits & Quick Preview):1. ⏱️ **Duration**: Set to **`2.0`** or **`3.0`** seconds in `⚡ [CONTROL 1]`. (Only the first 2-3s will be rendered for fast testing!)2. 📐 **Resolution**: Set to **`0.30`** in `⚡ [CONTROL 2]` for fast test preview (saves 60-70% render time & credits). Set `0.5 - 1.0` for final HD.3. 🖼️ **Inputs**: Upload photo in `[INPUT 1]` and motion video in `[INPUT 2]`.4. 🚀 Hit **Queue Prompt** to generate!---# 📌 Best Practices Guide: Image & Video Reference (MiniMax-H3 Motion Transfer)Follow these guidelines to achieve clean motion transfer and preserve character identity.---### 1. 🖼️ Character Reference Image Guidelines* ✅ **Recommended Framing**: - Use **Upper-body (Medium shot)** or **Full-length** portraits. - Avoid extreme close-ups (face-only), as the model needs visual context for clothing and posture.* ✅ **Pose & Angle**: - Front-facing or a slight three-quarter view with clear facial visibility. - Natural posture (avoid hands occluding the face or central outfit details).* ✅ **Lighting & Clarity**: - Sharp focus with balanced lighting. - Clean background with a single subject.---### 2. 🎬 Motion Video Reference Guidelines* ✅ **Framing Consistency (Crucial for Best Results)**: - **Upper-body Image** ➡️ Pair with **Upper-body Video**. - **Full-length Image** ➡️ Pair with **Full-length Video**. *(Matching camera distance and subject framing ensures precise motion alignment).** ✅ **Motion & Camera Stability**: - Smooth, continuous choreography without rapid camera zooms or scene cuts. - Ensure the background is free from other moving subjects.* ✅ **Duration & Fast Testing**: - Set duration to **`2.0` – `3.0` seconds** for quick preview tests to save render credits. - Increase to **`4.0` – `6.0` seconds** once you are satisfied with the performance.---### 💡 Pro-Tips for Maximum Quality:1. **Hair & Wardrobe Alignment**: Matching general hair length and clothing style helps prevent visual flickering.2. **Initial Starting Pose**: The closer the performer's initial position matches the reference image, the smoother the motion inception will be.
🌸•Oriora•🌷
LTX-2.5_image2video

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LTX-2.5 is a new-generation open-weight audiovisual generation model from LTX, capable of simultaneously generating high-quality video and synchronized audio in a single pass. It supports text-to-video, image-to-video, and start/end-frame-guided video generation, while delivering enhanced visual detail, motion stability, comprehension of complex prompts, and consistency across long-sequence content.Compared to LTX-2.3, LTX-2.5 introduces an all-new Diffusion Video Decoder that effectively mitigates issues such as blur, texture degradation, and loss of character detail during high-speed motion. It also incorporates native multi-shot generation capabilities, enabling the creation of multiple consecutive shots in a single run while maintaining—to the greatest extent possible—consistency in characters, scenes, lighting, style, and audio across shot transitions.The model utilizes an LTX-customized Gemma 4 12B text encoder, offering superior comprehension of multiple characters, actions, cinematic language, lighting, and complex scene descriptions. It also supports automatic duration prediction, dynamically matching the video length to the actions and scene content specified in the prompt. Furthermore, LTX-2.5 supports native 4K HDR, frame rates up to 50 FPS, and RAW workflows, providing greater flexibility for post-production in film, television, and high-quality video creation.As an open-weight model, LTX-2.5 supports local deployment, LoRA, and fine-tuning. Balancing generation speed, controllability, and openness, it is well-suited for applications such as short films, advertisements, character animation, multi-shot storytelling, and professional video production.
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LTX-2.5_distilled

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LTX-2.5 is a new-generation open-weight audiovisual generation model from LTX, capable of simultaneously generating high-quality video and synchronized audio in a single pass. It supports text-to-video, image-to-video, and start/end-frame-guided video generation, while delivering enhanced visual detail, motion stability, comprehension of complex prompts, and consistency across long-sequence content.Compared to LTX-2.3, LTX-2.5 introduces an all-new Diffusion Video Decoder that effectively mitigates issues such as blur, texture degradation, and loss of character detail during high-speed motion. It also incorporates native multi-shot generation capabilities, enabling the creation of multiple consecutive shots in a single run while maintaining—to the greatest extent possible—consistency in characters, scenes, lighting, style, and audio across shot transitions.The model utilizes an LTX-customized Gemma 4 12B text encoder, offering superior comprehension of multiple characters, actions, cinematic language, lighting, and complex scene descriptions. It also supports automatic duration prediction, dynamically matching the video length to the actions and scene content specified in the prompt. Furthermore, LTX-2.5 supports native 4K HDR, frame rates up to 50 FPS, and RAW workflows, providing greater flexibility for post-production in film, television, and high-quality video creation.As an open-weight model, LTX-2.5 supports local deployment, LoRA, and fine-tuning. Balancing generation speed, controllability, and openness, it is well-suited for applications such as short films, advertisements, character animation, multi-shot storytelling, and professional video production.
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SeaArt AI’de ComfyUI Workflow’u Neden Kullanmalısınız?

Basit Arayüz

SeaArt AI, workflow’ları yapılandırmayı kolaylaştıran sezgisel bir arayüz sunar. Tüm workflow’lar, kodlama bilgisi olmayanlar dahil herkes için tasarlanmıştır.

Özelleştirilebilir Workflow’lar

Workflow’unuzu istediğiniz şekilde tasarlayın. Gelişmiş LoRA eğitiminden karmaşık metinden görsele oluşturma işlemine kadar her adım, ihtiyaçlarınıza göre ayarlanabilir.

Yüksek Verimlilik

SeaArt, AI sanat yaratım süreçlerini optimize eder. Daha hızlı render sürelerinin ve daha az teknik engelin tadını çıkarın. Hızla çarpıcı görseller üretin.

SeaArt AI’de Birden Çok Workflow

AI Sanatı Yaratmak İçin Binlerce Workflow

SeaArt Workflow ile sanatsal vizyonunuzu açığa çıkarın. metinden-görsele, görselden-görsele ve görselden-videoya gibi formatlarda AI sanatı oluşturmak için binlerce önceden ayarlanmış workflow’a erişin. Bu workflow’lar, Flux, SD 3.5 gibi güçlü AI modelleri ve ControlNet gibi popüler seçeneklerle entegre olur ve tercihlerinize göre çarpıcı görseller oluşturmanıza olanak tanır.

SeaArt AI’de Özelleştirilebilir Workflow’lar

Özelleştirilebilir Workflow’larla Tam Kontrol

SeaArt Workflow ile oluşturma süreciniz üzerinde tam kontrole sahip olursunuz. İhtiyaçlarınıza özel workflow’lar tasarlamak için güçlü özelleştirme seçenekleri sunuyoruz. Parametreleri ayarlayın, AI modellerini değiştirin ve nihai çıktının vizyonunuza uygun olmasını sağlamak için ayarları ince ayar yapın.

Sıkça Sorulan Sorular

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ComfyUI Workflow Nedir?

SeaArt AI Workflow, basit metin istemlerinin ötesine geçen yenilikçi bir araçtır. Geleneksel AI sanat yaratıcılarından farklı olarak, SeaArt, resim ve video oluşturma sürecini ayrıntılı bir hassasiyetle kontrol etmek için özel workflow'lar oluşturmanıza olanak tanır.

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Hangi türde AI sanatlarını workflow kullanarak oluşturabilirim?

Bu workflow'lar, gerçekçi portrelerden fantezi manzaralarına, anime karakterlerinden soyut yaratımlara kadar geniş bir AI sanatı yelpazesi oluşturmanıza olanak tanır. Metinden-görsele, görselden-görsele ve görselden-videoya kolayca oluşturabilir, stil transferleri uygulayabilir ve hatta 3D modeller oluşturabilirsiniz.

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ComfyUI Workflow, yeni başlayanlar için uygun mu?

Evet! Kullanıcı dostu sürükle ve bırak arayüzümüz ve gerçek zamanlı önizlemeler ile SeaArt’ın Workflow'u, hem yeni başlayanlar hem de ileri düzey kullanıcılar için erişilebilir olup, AI sanatı yaratmayı basit hale getiriyor.

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Workflow’umuzu özelleştirebilir miyim?

Evet. SeaArt AI, proje ihtiyaçlarınıza göre workflow'unuzu ayarlamanızı sağlayacak çeşitli özelleştirme ayarları sunar.