pablodawson/MiniMax-H3-360-Orbit-LoRA

image-text-to-video model by pablodawson

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A LoRA for MiniMax-H3 (FL2VA variant) that turns one photo into a frozen-time 360° camera orbit, and lands back on the exact frame it started from. Give the model the same image as the first and the last keyframe, and the LoRA orbits the camera all the way around the subject while the scene stays frozen. The clip closes on its own first frame, so orbits can be chained or stitched into longer shots without a visible seam. Each comparison shows three renders of the same input with the same seed, prompt, resolution and step count: The previews are downscaled animated WebP. Full-resolution MP4s: comparisons skate · man2 · girl2 · man; LoRA-only clips skate · man2 · girl2 · man. Reference-to-video (Ref2VA) treats its input images as loose appearance references, so clips don't end on a known frame and can't be joined cleanly. First–last-frame generation (FL2VA) pins both ends,…

pablodawson/MiniMax-H3-360-Orbit-LoRA on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-14T21:52:13.592Z

Inside the original model card — Document outline
  1. MiniMax-H3 360° Orbit LoRA (first–last frame)
  2. Results
  3. About the comparisons
  4. Why this LoRA?
  5. Prompt
  6. Recommended settings
  7. Usage
  8. Training details
  9. Data
  10. Hyperparameters
  11. Limitations
  12. Author

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Model overview

pablodawson/MiniMax-H3-360-Orbit-LoRA is a image-text-to-video model repository published by pablodawson on Hugging Face. The source reports the minimax-h3 library.

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Model facts

Task
image-text-to-video
Library
minimax-h3
Recent downloads (30 days)
28,976
Cumulative likes
523
Hugging Face trending score
71
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-27T04:05:33.000Z
Last modified
2026-09-27T04:06:23.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: MiniMaxAI/MiniMax-H3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-21T06:43:12.081Z. Daily imports are snapshots, not real-time monitoring.

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