VID2VID WORKFLOW
Upload a reference video and character image, choose Kling 3.0 Motion Control or Wan 2.7 VideoEdit, then generate a paid video-to-video result with controlled motion and identity.
INPUT-DRIVEN GENERATION
Choose Kling or Wan, upload motion, lock the character, pick the transfer mode, and compare results quickly.
Use Kling 3.0 Motion Control for character motion transfer or Wan 2.7 VideoEdit for instruction-based editing of existing footage.
Choose a short source video with clear motion, then add the character or visual reference image you want the output to follow.
Review identity, timing, framing, and motion quality together. Change one setting or prompt detail at a time when iterating.
VIDEO TO VIDEO AI GUIDE
Answer: Video to Video AI uses a source video as motion input, then creates a new video guided by a character reference, style direction, edit instruction, or replacement goal.
Answer: Upload a source video, add a character image, choose Kling 3.0 Motion Control or Wan 2.7 VideoEdit, and generate a short character-led video.
The source clip provides timing, pose, and camera framing. The character image gives the model a visual target so the result can preserve identity while following the source motion or edit instruction.
Answer: It helps creators test character acting without animating every pose from scratch.
Use it for dance tests, acting references, cosplay previews, short-form character promos, and early animation blocking before committing to a longer production.
Answer: Short clips with stable lighting and clean character references usually work best.
Clear silhouettes, limited camera shake, visible faces, and consistent framing make the motion transfer easier to read and compare.
Answer: Kling 3.0 Motion Control and Wan 2.7 VideoEdit are premium per-second video models.
The page estimates credits from Replicate model pricing and output duration, so generation is limited to paid accounts with enough credits.
REAL VID2VID EXAMPLES
Video-to-video is easiest to understand when the inputs and output are visible together. These examples show how a reference image can inherit motion from a source clip.
Image
Motion
A character image follows the timing and body motion from a performer clip while keeping the visual identity readable.
Image
Motion
A reference portrait takes on the waving gesture and scene rhythm from a short office motion clip.
Image
Motion
A still character reference is animated with boxing-style source motion for a sharper action test.
MODEL COSTS
Kling 3.0 Motion Control and Wan 2.7 VideoEdit charge per second of generated output. LlamaGen maps that cost into credits so creators can compare the models before generating.
Kling 3.0 Motion Control
600 credits for 5s
Wan 2.7 VideoEdit
500 credits for 5s
VIDEO TRANSFER CONTROLS
Use model selection, source video, character image, prompt, duration, and quality controls without juggling separate tools.
Transfer motion from a source video to a character image with paid Kling 3.0 and Wan 2.7 models.
Video model
Paid plan required for video-to-video generation.
Keep original sound
Preserve the audio from the uploaded reference video.
Upload an MP4 or MOV under 50MB. Photo Animate supports 3-10s; Character Swap supports 3-20s.
Support JPG PNG, WEBP up to 20MB
ليس لديك أفكار؟ جرب القوالب الجاهزة للبدء
Use a source video as the motion track and a reference image as the character target. Kling 3.0 Motion Control is built for stronger identity consistency and 720p or 1080p motion transfer.
Use Wan 2.7 VideoEdit when the job is closer to editing an existing clip: change style, background, lighting, clothing, or appearance while preserving source motion.
Video-to-video generation uses premium Replicate models and is reserved for paid users, with credits calculated from model price and output duration.
CREATOR USE CASES
Use the same simple workflow for character animation tests, cosplay planning, and short-form creative production.
An animator can upload a rough performance clip and a character image to preview timing, pose language, and framing before building a polished sequence.
A cosplayer can use a short walk, turn, or gesture clip to see how a character design might feel in motion before refining costume or makeup decisions.
A creator can turn dance clips, reaction shots, or promo footage into stylized character videos for quick social tests and idea validation.
المزيد من النقاط يؤدي إلى المزيد من خيارات الإنشاء
15000 نقطة تجدد شهريًا
وضع الصفحة الواحدة / المتعددة
تعليقات تلقائية
10 شخصيات كوميكس مخصصة
استخدام GPT-4o غير محدود
توليد سريع
نماذج الصور المتقدمة بالذكاء الاصطناعي
إنتاج رواية ثابتة
أنشئ حتى ٢٠ لوحة لكل طلب
توليد لانهائي لأفكار لا حدود لها
45000 نقطة تجدد شهريًا
كل شيء في القياسي
تناسق الشخصية
الكوميكس إلى فيديو
إنشاء شخصيات غير محدود
أسرع توليد
الشروط التجارية العامة
قوالب غير محدودة
Nano Banana/FLUX/CyaniModel
وصول مبكر لميزات الذكاء الاصطناعي المتقدمة
أنشئ حتى ٤٠ لوحة لكل طلب
سريع، للاستخدام التجاري، ومع وصول حصري
135000 نقطة تجدد شهريًا
كل شيء في البرو
مشاريع غير محدودة
تناسق الشخصية
شخصيات غير محدودة في القصص المصورة الخاصة بك
أسرع توليد للفيديو
مجموعة اللغات العالمية
الشروط التجارية العامة
مدير الحساب
الوصول إلى معرض الأعضاء
Nano Banana/FLUX/CyaniModel
أنشئ حتى ٦٤ لوحة لكل طلب
للمنشئين المحترفين. الأفضل للرسوم المصورة والرسوم المتحركة والأفلام والمسلسلات.
تجديد 270000 رصيد شهريًا
كل شيء في باقة غير محدودة
مشاريع غير محدودة
طول قصة غير محدود
تناسق الشخصية
شخصيات غير محدودة في القصص المصورة الخاصة بك
أسرع توليد للفيديو
مجموعة اللغات العالمية
الشروط التجارية العامة
مدير الحساب
تحفة Nano Banana النسخة الاحترافية
أنشئ حتى ٦٤ لوحة لكل طلب
6000
7,500الاعتمادات+25.00%
12000
20,000الاعتمادات+66.67%
30000
50,000الاعتمادات+66.67%
HOW IT WORKS
A focused video-to-video workflow for creators exploring character acting, motion transfer, and identity consistency.
The page is built around exactly two important inputs: performer footage and the character reference.
Transfer pose, timing, and movement from source footage into a character-led result.
Use a strong target image when the character face, costume, or visual identity needs to stay recognizable.
Start with the defaults, then open more settings only when you need to adjust ratio, duration, or resolution.
Generate short tests, compare results, and refine motion or character inputs for the next pass.
Use source footage as the motion reference, then apply a new character or visual direction without starting from a blank text prompt.
TOOL COMPARISON
LlamaGen.ai focuses the Vid2Vid workflow around the two inputs creators usually need most: source motion and a target character reference.
Open the dedicated video-to-video studio and start with a source video plus a character image.
Open Video to Video StudioVideo-to-video AI generation uses a source video as motion input and creates a new video based on that performance, character reference, or style direction.
You need a performer video and a character image. Clear motion, stable lighting, and a clean character reference usually produce better results.
Yes. Video to Video starts from an existing performer or source clip, while the AI video generator can also create clips from text or image prompts.
Short clips with stable lighting, readable silhouettes, and limited camera shake are usually easier to transfer.
Yes. Upload the character image you want to preserve, then choose the simple transfer style that best matches your goal.
Yes. The default settings are ready for quick tests, and More settings lets you adjust ratio, duration, and resolution when needed.
