WAN 2.6

/ WAN 2.6 — Image-to-Video (wan2.6-i2v)

WAN 2.6 Image-to-Video is ’s latest WanXiang 2.6 image-to-video model. Give it a single image plus a prompt and it generates a 5–15s cinematic clip, with support for multi-shot storytelling and up to 1080p resolution.

🚀 Highlights

• Multi-shot narrative support – When prompt expansion + multi-shot are enabled, WAN 2.6 can automatically split your idea into several shots and keep key details consistent across them.
• Longer clips – Generate videos up to 15 seconds, giving more room for story arcs, transitions, and character actions.
• Flexible resolutions – Three quality tiers: 720p, 1080p, matching ’s official 2.6 spec.
• Image-driven look – Uses your input frame as the visual anchor, then animates it according to your prompt.
• Prompt-aware framing – The model balances your reference image and text description to keep identities, outfits, and overall scene coherent.

🧩 Parameters

• image* – Required. The keyframe or base image to animate (URL or upload).

• audio (optional) – Reserved field; can be used for advanced workflows that align motion with an external audio track. For normal use you can leave this empty.

• prompt* – Describe the motion, story beats, camera moves, and style.

• negative_prompt – Things to avoid (e.g. “watermark, text, distortion, extra limbs”).

• resolution – One of:

• 720p

• 1080p

• duration – One of 5s, 10s, 15s.

• shot_type –

• single → single-shot clip.

• multi → when prompt expansion is on, the model can break your prompt into multiple shots for a richer narrative.

• enable_prompt_expansion – If enabled, WAN 2.6 will expand shorter prompts into a more detailed internal script before generating.

• seed – Fix for reproducible results; set to -1 for random, or any integer to lock the layout and motion pattern.

Output: an MP4 video at the chosen resolution tier.

💰 Pricing

• 720p → $0.10 / s
• 1080p → $0.15 / s

✅ How to Use

1. Upload your image under image (clear subject, good lighting works best).
2. Write a prompt describing:

• what moves (character, camera, environment),
• overall mood and style (e.g., “cinematic, soft lighting, shallow depth of field”).

1. (Optional) Turn on enable_prompt_expansion if your prompt is short and you want the model to elaborate it.
2. (Optional) Enable multishots to let WAN 2.6 build a multi-shot sequence instead of a single continuous shot.
3. Choose resolution (720p / 1080p) and duration (5 / 10 / 15 s).
4. Set seed if you want repeatable results, otherwise leave -1 for variation.
5. Click Run and download your clip once it finishes.

💡 Prompt Tips

• Start with the image content, then add motion: “Camera slowly dolly-in, character turns to look at the city, neon lights flicker, light rain, cinematic grade.”
• For multi-shot stories, hint at structure: “Shot 1: wide city skyline at night; Shot 2: medium shot of the hero on the rooftop; Shot 3: close-up as they smile.”
• Keep negative prompts short and focused; don’t overload them with long prose.

More Models to Try

• kwaivgi/kling-video-o1/image-to-video High-quality AI image-to-video generator from Kwaivgi, ideal for cinematic character shots, smooth camera motion, and social-ready short clips.

• /wan-2.5/image-to-video ’s WAN 2.5 image-to-video model, designed for fast, coherent animation of still images into ads, product demos, and story-style videos.

• openai/sora-2/image-to-video OpenAI Sora 2, a cutting-edge AI video generator that turns images into long, detailed, physics-aware scenes for filmic concepts and high-end content.

• google/veo3.1/image-to-video Google Veo 3.1 image-to-video, optimized for crisp, cinematic motion and clean compositions, perfect for marketing visuals, trailers, and creative storytelling.