Create AI videos, edit images by chat, and turn photos into motion clips in one app with Solarafy.
Solarafy is built for creators who want faster output with more control. From conversational photo editing to text-to-video, image-to-video, and AI video editing, Solarafy brings multiple creation workflows together on your phone.
Why creators choose Solarafy:
• Conversational photo editing powered by Nano Banana models for fast image changes from simple text instructions.
• AI video generation across text to video, image to video, and start/end frame workflows using models such as Hailuo, Seedance, Veo, and Kling.
• Omni Reference powered by Kling to guide composition, style, subjects, and scene consistency with reference images and videos.
• AI Video Edit to upload a video and describe the changes you want in text.
• Video Replace tools to swap backgrounds, subjects, and scene elements in one tap.
• Motion Control for action reference, movement guidance, and recreating popular dance-style content faster.
• Image enhancement, restoration, outfit change, hairstyle change, and other AI image editing tools.
• Ready-made video and image templates to help you create faster.
What you can do in Solarafy:
• Generate short-form videos from prompts, photos, portraits, and references.
• Turn still images into motion clips and test different visual directions.
• Edit existing videos with text prompts instead of complex timelines.
• Replace people, objects, or backgrounds in videos more quickly.
• Use references and motion guidance to improve consistency and control.
• Enhance images, repair details, restyle outfits, and try hairstyle variations.
• Start from templates for faster content creation for Reels, Shorts, TikTok, and other social formats.
Depending on the workflow, Solarafy may use in-app models such as Nano Banana, Hailuo, Kling, Seedance, and Veo.
Solarafy offers subscriptions and in-app credits. Each subscription plan includes credits for the billing period, and extra credit packs are available when you need more generations. Credit usage varies by feature, model, duration, and output settings, so the amount used can differ from one workflow to another.
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