Higgsfield Unveils Invite-Only Beta Video Editing Tool Miracle
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AT A GLANCE
Higgsfield has announced Miracle, an AI video editing tool that focuses on layering and real-time local modifications, and it is currently still in invite-only beta testing.
Article
Higgsfield Launches Miracle: Breaking Videos into Layers for Direct Editing Like PS
Dongcha Beating AI Flash News: AI video company Higgsfield has unveiled an AI video editing tool called Miracle. According to the official demonstration, if you want to change a piece of clothing, modify a background, or delete an object in a video, there is no need to regenerate the entire video. Simply select the area you want to modify, and you can see the effect in real time.
Miracle's approach is to break down videos into individually editable layers while preserving the depth information of every frame. For example, if a person is running, the system needs to distinguish the positional relationship between the person and the background in order to modify only their clothes while retaining the original movements, camera work, and lighting.
AI-powered partial video modification is not entirely new. Tools like Runway Aleph have long been capable of replacing objects and modifying backgrounds. Miracle's main selling point is real-time editing, bringing video post-production closer to the operational style of Photoshop. You can simply edit wherever you are dissatisfied, without the need for repeated generation and waiting for rendering.
Currently, Miracle is still in an invite-only beta phase, and the actual editing speed, stability in complex scenes, and pricing have not been announced. In the future, Miracle will be integrated with Higgsfield MCP, supporting invocation via Claude.
Original link: https://m.theblockbeats.info/flash/376340
Key points
01
AI video company Higgsfield has unveiled an AI video editing tool called Miracle.
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According to the official demonstration, Miracle can locally change clothes, modify backgrounds, or delete objects without regenerating the entire video.
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Miracle's approach is to break the video into layers that can be edited individually, while preserving the depth information of every frame.
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The report states that tools such as Runway Aleph are already capable of replacing objects and modifying backgrounds.
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Miracle focuses on real-time editing, making video post-production operations closer to Photoshop.
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Miracle is currently in an invite-only closed beta.
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Miracle's actual editing speed, stability in complex scenarios, and price have not yet been announced.
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In the future, Miracle will be connected to Higgsfield MCP and will support invocation through Claude.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
Miracle wants to make video editing similar to editing images: first distinguish people, backgrounds, and other content, then modify only the selected parts while preserving the original motion, camera work, and lighting as much as possible. The existing descriptions mainly come from product announcements and official demonstrations and cannot yet represent actual performance in a public environment.
Why it matters to readers
If layering and real-time local editing can be implemented stably, video creators may no longer need to repeatedly generate entire video segments due to a single local issue, making the post-production modification process more direct.
Beginners can think of it as a "video version of a local editing tool": select clothing, background, or objects and modify them individually. However, the tool is still in beta testing, and it remains unclear how easy it is to use, how fast it is, and how much it will cost.
Risks and unknowns
The actual editing speed has not yet been announced.
Stability in complex scenarios has not yet been announced.
The price has not yet been announced.
The scope of the invite-only beta and the official launch date are unclear.
The effects of layering, real-time modification, and preserving the original motion, camera work, and lighting mainly come from official demonstrations, and their performance in public use remains to be confirmed.
Related Developments
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The specific implementation timeline and effectiveness of integrating Higgsfield MCP and calling it through Claude have not yet been explained.
Related concepts
Layer
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