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DreamFace
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EnWan 2.7 is an AI video generator for text to video, image to video, and reference to video creation. It supports 1080p video, video editing, first and last frame control, and up to 5 reference inputs for more controlled video generation.
Upload JPG/PNG/WEBP images up to 10MB, with a minimum width/height of 300px.





Use a prompt, an image, or reference inputs to guide Wan 2.7. This supports text to video, image to video, and reference to video workflows with stronger control from the first result.

Describe motion, framing, pacing, and scene direction in clear language. Wan 2.7 uses that guidance to produce cleaner motion, better continuity, and more precise first and last frame control.

Generate a clip, review the output, then use video editing instructions or prompt refinements to improve timing, consistency, and scene quality. This helps you reach a stronger result with fewer reruns.




What Users Are Saying
First and last frame control feels practical
Wan 2.7 first and last frame control helps shape transitions without restarting the whole video editing workflow.Reference to video improves consistency
Wan 2.7 reference to video is useful when subject identity and scene consistency matter across multiple outputs.Video editing is faster and more flexible
Wan 2.7 video editing lets teams refine scenes, swap elements, or adjust style without rebuilding every clip from zero.1080p video looks stronger for real campaigns
Wan 2.7 1080p video is easier to use for ads, product videos, and social content that need cleaner visual quality.Text to video and image to video both feel usable
Wan 2.7 text to video and image to video workflows are practical for concept work, branded clips, and short form creative production.Reference inputs reduce reruns
Wan 2.7 reference inputs and frame control help reduce reruns by making each version more directed and more consistent.First and last frame control feels practical
Wan 2.7 first and last frame control helps shape transitions without restarting the whole video editing workflow.Reference to video improves consistency
Wan 2.7 reference to video is useful when subject identity and scene consistency matter across multiple outputs.Video editing is faster and more flexible
Wan 2.7 video editing lets teams refine scenes, swap elements, or adjust style without rebuilding every clip from zero.1080p video looks stronger for real campaigns
Wan 2.7 1080p video is easier to use for ads, product videos, and social content that need cleaner visual quality.Text to video and image to video both feel usable
Wan 2.7 text to video and image to video workflows are practical for concept work, branded clips, and short form creative production.Reference inputs reduce reruns
Wan 2.7 reference inputs and frame control help reduce reruns by making each version more directed and more consistent.