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Turn one image into a consistent Wan 2.2 LoRA video
Upload a clear start image, select a trained Wan 2.2 LoRA, describe the motion, and generate a custom 5- or 8-second video in 480p or 720p.
This is an image-to-video workflow. A start image, motion prompt, and compatible trained LoRA are required. It is not a text-to-video or video-to-video editor.LoraAI 提供 Wan 2.2 图像到视频的 LoRA 生成器,用户上传起始图片、选择已训练的 LoRA 并描述运动,即可生成 5 或 8 秒的 480p/720p 视频。核心功能包括运动预览、LoRA 强度调节、负面提示词以及多 LoRA 组合(高级版)。
“起始图片和 LoRA 协同工作,使主体更接近预期外观。”
该工具强调视觉一致性,适用于角色、产品或艺术风格,避免长描述导致的漂移。定价基于积分,从 70 积分起,提供标准版和高级版(月度/年度)。
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LoRA AI train is a Wan 2.2 image-to-video generator that turns a single still image into a short, custom video. You upload a clear start image, select a trained Wan 2.2 LoRA, describe the motion you want, and the tool produces a 5- or 8-second clip in 480p or 720p. The start image establishes the subject, framing, pose, colors, and composition, while your prompt defines what changes over time. A trained LoRA supplies a reusable visual identity—like a character, product, or art style—so the output stays consistent. This is strictly an image-to-video workflow; it is not a text-to-video generator or a video-to-video editor.
Real, reusable examples let you test a source image and prompt before committing to a trained Video LoRA. You can load a preview, examine its exact prompt, then switch to advanced mode to apply your own Wan 2.2 Video LoRA. This reduces wasted generations and helps you refine motion descriptions early.
You can adjust LoRA strength to control how strongly the trained identity influences the output. An optional negative prompt lets you steer the model away from unwanted elements. These controls sit in one browser workspace, so you don't need to build a ComfyUI graph or juggle separate tools.
A saved Wan 2.2 Video LoRA contains high-noise and low-noise weight URLs. The backend validates the manifest and loads both into the matching generation endpoint automatically. This ensures the paired weights work together correctly on every run.
Choose between 480p and 720p, and pick a 5- or 8-second clip length. Pricing is dynamic and starts from 70 credits, with standard and advanced tiers available on monthly or yearly plans.
"The start image and LoRA work together to keep the subject closer to your intended look."
That collaboration is the core insight behind this tool. A long text description alone can drift from a recurring concept, because the model doesn't get the same learned reference on every run. A compatible LoRA supplies that reference while Wan 2.2 handles the motion. The result is visual consistency that survives multiple prompts and multiple video ideas—whether you're animating a fictional explorer, an anime courier, or a floating sneaker.
You're tired of image-to-video outputs that lose the subject's identity after a few seconds. If you already have trained Wan 2.2 LoRAs, or you're willing to create them, this tool gives you a straightforward path from one still frame to a consistent, short video clip. It's especially useful when you need the same character, product, or style to appear reliably across several videos, and you'd rather adjust motion prompts than re-describe the entire visual identity each time. The motion previews and strength controls make it approachable even if you're not deep into ComfyUI workflows.
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