MiniMax-H3-角色替换-程小姐的一天

imbiplaza ASUS

Youtube Video

MiniMax-H3-角色替换-LoRA

Akatz Labs 训练了一个实验性的角色替换 LoRa 模型，进行了1000 次更新。该模型旨在利用图像参考替换选定的角色，同时保留原始场景。在我们进行的局部对比中，它通常比基础模型更能准确地保留背景，

huggingface
https://huggingface.co/akatz-ai/MiniMax-H3-Character-Swap-LoRA

github custom node:
https://github.com/akatz-ai/h3-relay

https://huggingface.co/OliviaRossi/Minimax-h3_Singularity-x-10Eros-Max_PRISM/tree/main

Minimax-h3_Singularity-x-10Eros-Max_PRISM

H3-Character-Swap-Relay-V2.json

使用了比较好玩的模型，将每一小段的视频处理后再并接起来

Screenshot 2026-11-03 014110.png

promt use this:


Replace the person in <Video 1> with the character shown in <Picture 1>.

subject_definitions:
<Subject 1> is the replacement character whose appearance comes from <Picture 1> and whose performance comes from the person being replaced in <Video 1>. Preserve the reference character's facial features, hairstyle, skin tone, body proportions, clothing, colors, and distinctive visual style. The reference image supplies appearance only, not the character's pose, expression, background, or framing.
<Subject 2> is the surrounding scene from <Video 1>, including its background, lighting, objects, and any people other than the person being replaced.
<Video 1> is the source video being edited and supplies the shot composition, camera movement, timing, and sequence of actions.

summary:
[video editing + reference generation] The target video is an edited version of <Video 1>. Replace the original person with <Subject 1>, transferring their complete visible performance to the reference character while preserving <Subject 2> and the source video's framing and timing.

retention_analysis:
<Subject 1> (throughout [Shot 1]): fully_preserved - maintain the character's referenced identity, clothing, proportions, and visual style consistently as the character performs the source person's movements.
<Subject 2> (throughout [Shot 1]): fully_preserved - retain the surrounding scene and its changes over time.
<Video 1>: partially_preserved - retain composition, camera motion, action timing, and duration; replace only the selected person's appearance.

detailed_description:
Preserve the source scene's visual treatment while retaining the replacement character's distinctive design. Adapt illumination, shading, and perspective to the source scene.

[Shot 1] Begin with the same composition and camera viewpoint as <Video 1>. <Subject 1> occupies the original person's position and follows their movement through the frame. Match the original performance moment by moment: body posture, gestures, head turns, gaze, blinking, facial expressions, and visible mouth movements.

Maintain the reference character's identity through every expression and viewing angle. Hair and clothing move naturally with the transferred performance. Preserve interactions with source-scene objects and the ordering of foreground and background occlusions.

Keep the source video's crop and shot scale. Show only the portions of the replacement character that belong within that framing; do not widen the shot to reproduce the full-body reference. Do not import the reference image's background, static pose, or handheld props. Preserve the source camera movement and action timing through the final frame.

overall_soundscape:
Retain the source clip's existing sound without adding new dialogue or sound effects.

non_diegetic_music:
Retain existing source music, if present; add no new music.