Training Image Editing Models Without Human Labels via Video Deltas
haremlifegame · reddit · 2026-08-08
A community discussion reveals a highly inspiring training method that can be used to fine-tune MiniMax H3 or build video model derivatives.
The core idea is to generate massive training data without human instructions:
- Take a video dataset and use a vision-language model (like Qwen) to analyze the video, specifically describing what changed between the first and last frames.
- Train the model to take the first frame and the 'description of changes' as input to generate the last frame.
- By inverting the order of operations, the model learns to execute instructions on 'what ought to change,' effectively becoming a powerful image editor.
This technique is an excellent approach for developing lighting LoRAs, image editing models, or fine-tuning video models.
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