MiniMax-H3 ORB360 CardSpin (step 50): LoRA, README, prompts, examples, licences

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/herschel_origin_glitch_orbit750.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/whitecat_cardspin_step50.mp4 filter=lfs diff=lfs merge=lfs -text
+assets/whitecat_orbit_step50.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/herschel_1867_cameron_met263166.png filter=lfs diff=lfs merge=lfs -text
+examples/whitecat.png filter=lfs diff=lfs merge=lfs -text

LICENSE

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+MIT License
+
+Copyright (c) 2026 MatlowAI (Dylan Matlow)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
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+

LICENSE-MiniMax-H3

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NOTICE

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+MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.

README.md

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+---
+license: mit
+base_model: MiniMaxAI/MiniMax-H3
+base_model_relation: adapter
+tags:
+  - minimax-h3
+  - lora
+  - video
+  - ref2va
+  - orbit
+  - camera-control
+  - musubi-tuner
+  - comfyui
+pipeline_tag: image-to-video
+---
+
+# MiniMax-H3 ORB360 CardSpin (step 50)
+
+A rank-32 LoRA for MiniMax-H3 **Ref2VA** that does two things from one file, picked by the prompt:
+
+- **`ORB360_CARDSPIN`**: your photo turns in space like a thin physical photo card. The person or animal inside it
+  turns with it: profile on the edge-on sliver (nose sticking out past the edge), the back of their head on the back
+  of the card, the other profile on the way round, and a clean landing back on your photo after exactly 5.125 s.
+- **`ORB360_CW`**: the ordinary thing it was built for, a single smooth clockwise 360-degree camera orbit around a
+  frozen subject that ends on the starting view.
+
+Powered by MiniMax H3.
+
+## The card spin
+
+<video controls muted playsinline loop preload="metadata" width="100%"
+       poster="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/whitecat_cardspin_step50_poster.jpg">
+  <source src="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/whitecat_cardspin_step50.mp4" type="video/mp4">
+  <a href="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/whitecat_cardspin_step50.mp4">Download the card-spin clip (mp4)</a>
+</video>
+
+One reference image (`examples/whitecat.png`), the prompt in `prompts/cardspin_caption.txt`, 1024 x 768, 124 frames,
+20 steps, seed 20260926.
+
+## Same file, normal orbit
+
+<video controls muted playsinline loop preload="metadata" width="100%"
+       poster="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/whitecat_orbit_step50_poster.jpg">
+  <source src="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/whitecat_orbit_step50.mp4" type="video/mp4">
+  <a href="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/whitecat_orbit_step50.mp4">Download the orbit clip (mp4)</a>
+</video>
+
+Same image, same seed, same LoRA file; only the prompt changed (`prompts/orbit_realscene_caption.txt`). The 50
+card-spin steps did not break the orbit.
+
+## How it happened
+
+We were testing an orbit LoRA (the ORB360 project) on real photos instead of the grey Blender renders it was trained
+on, and fed it an 1867 portrait of Sir John Herschel by Julia Margaret Cameron. Instead of orbiting a man, it decided
+the *photograph* was the object. This is the clip that started it all:
+
+<video controls muted playsinline loop preload="metadata" width="60%"
+       poster="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/herschel_origin_glitch_orbit750_poster.jpg">
+  <source src="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/herschel_origin_glitch_orbit750.mp4" type="video/mp4">
+  <a href="https://huggingface.co/MATLOWAI/MiniMax-H3-ORB360-CardSpin/resolve/main/assets/herschel_origin_glitch_orbit750.mp4">Download the original glitch (mp4)</a>
+</video>
+
+It was too good to leave as a one-off. So we took that single generated video, wrote a caption describing what
+happens in it with timestamps, and trained **50 more steps** on top of the 750-step orbit LoRA using only that one
+clip. After 50 steps (about half an hour on one GPU) the effect transferred to photos it had never seen: other
+Cameron portraits, and a colour photo of a cat in a hat. We also checked 100 and 150 steps; they work too, with
+slightly crisper card edges, but 50 has the most charm and is the lightest touch on the orbit behaviour, so that is
+the one released here.
+
+## Using it
+
+**ComfyUI:** load it with the standard **Load LoRA** node (model only, strength 1.0) on a MiniMax-H3 **Ref2VA** model.
+It is a kohya-style LoRA (`lora_unet_*`, `lora_down`/`lora_up`/`alpha`); all 200 modules map onto ComfyUI's
+MiniMax-H3 weights. Give it one reference image and paste one of the prompts from `prompts/` as the text.
+
+**musubi-tuner** ([kohya-ss/musubi-tuner](https://github.com/kohya-ss/musubi-tuner), v0.3.5 or later):
+
+```bash
+python src/musubi_tuner/minimax_h3_generate_video.py --task ref2va \
+  --dit minimax_h3_ref2va_bf16.safetensors --prune_adaln \
+  --video_vae minimax_h3_video_vae_fp16.safetensors --audio_vae minimax_h3_audio_vae_fp32.safetensors \
+  --text_encoder qwen3vl_32b_minimax_h3_int8_convrot.safetensors --text_encoder_attn_mode sdpa \
+  --lora_weight minimax_h3_orb360_cardspin_step50.safetensors --lora_multiplier 1.0 --lora_runtime_attach \
+  --video_size 832 672 --video_length 124 --infer_steps 20 --attn_mode sdpa --seed 20260926 \
+  --prompt "$(cat prompts/cardspin_caption.txt)" --ref your_photo.png --save_path out/
+```
+
+- One reference image (`--ref` in musubi). It becomes `<Picture 1>` in the prompt and is the first and last frame.
+- Keep **124 frames at 24 fps**: the prompt's timestamps (edge-on at 1.0 s, back of the card from 1.7 s, other
+  profile at 3.8 s, back on the photo at 5.125 s) assume that length.
+- Resolutions we have seen work: 672 x 832 and 832 x 1024 portraits, 1024 x 768 and 1152 x 768 landscapes.
+- Portraits of people and animals are the sweet spot. It works on colour photos as well as old sepia prints.
+- For the normal orbit, use `prompts/orbit_realscene_caption.txt`. It keeps the photo's real surroundings; earlier
+  wording like "clean studio" pulled some scenes towards a grey studio backdrop.
+- Roll a few seeds. This was taught from one clip, so some seeds commit to the card harder than others.
+- The prompts follow MiniMax's official Ref2VA prompt layout (`subject_definitions`, `summary`,
+  `retention_analysis`, `detailed_description`, `overall_soundscape`, `non_diegetic_music`). Both audio sections are
+  `N/A`, which asks for silence; without them H3 tends to invent a soundtrack.
+
+## Training
+
+Both stages used musubi-tuner (v0.3.5, `--task ref2va`; one local patch that only affects step counting on
+`--resume`) with the same settings:
+
+| | |
+|---|---|
+| Base | MiniMax-H3 Ref2VA, BF16 transformer (`minimax_h3_ref2va_bf16` repack), loaded with `--prune_adaln` |
+| Training adapter | [ostris/minimax_h3_training_adapter](https://huggingface.co/ostris/minimax_h3_training_adapter) `minimax_h3_ref2va_training_adapter_v1` via `--base_weights` (training only; not used at inference) |
+| LoRA | rank 32, alpha 32 (`networks.lora_minimax_h3`) |
+| Optimizer | AdamW, lr 1e-4 constant, max grad norm 1.0 |
+| Precision | bf16 mixed, gradient checkpointing, SDPA |
+| Batch | 1, no accumulation, video only (no audio loss), seed 20260926 |
+| Hardware | one NVIDIA RTX PRO 6000 (96 GB) |
+
+**Stage 1: ORB360 orbit, 750 steps, from scratch.** Four assets rendered in Blender, each as one 124-frame, 24 fps,
+512 x 512 clockwise orbit with exactly one full turn. Three
+reference images per clip, rendered with the exact cameras of frames 0, 41 and 82 (0, 120 and 240 degrees). The
+captions give timestamped milestones (for example "At 1.708333 seconds (zero-based frame 41), the camera has advanced
+120 degrees clockwise ... corresponds to <Picture 2>") and ask for a completely frozen subject. About 18 s per step.
+
+**Stage 2: CardSpin, +50 steps.** Initialised from the stage-1 weights (fresh optimizer). One training clip: the
+Herschel glitch above (generated at 832 x 1024, trained at 672 x 832, 124 frames), with the original Herschel photo as
+the single reference and the card-spin caption in `prompts/cardspin_caption.txt`. About 40 s per step, 73 GB peak VRAM.
+
+## Limitations
+
+- Learned from a single example. The card always turns the same way with roughly the same timing, and some subjects
+  or seeds may commit to the card less than others.
+- The first stage saw only four rendered assets at 512 x 512, so orbit quality on complex real scenes varies.
+- Evaluated by eye on a handful of images and seeds, not with a benchmark.
+
+## What's next
+
+This is a side quest. The main ORB360 work is training a much steadier 360 LoRA on a larger rendered set: more
+assets, several orbit lengths and speeds, higher and lower camera heights, closer and wider framing, and captions that
+describe the exact camera for every clip. The aim is to see whether consistent, controllable orbits can lead to some
+kind of stable geometry adapter. More on that when it works.
+
+## Files
+
+- `minimax_h3_orb360_cardspin_step50.safetensors`: the LoRA (fp32, 597 MB)
+- `prompts/cardspin_caption.txt`, `prompts/orbit_realscene_caption.txt`: the two prompts behind the cat videos
+- `examples/whitecat.png`: reference image for the cat clips
+- `examples/herschel_1867_cameron_met263166.png`: the Herschel portrait (Julia Margaret Cameron, 1867; The
+  Metropolitan Museum of Art, Open Access, CC0), resized
+- `assets/`: the three videos above and their poster frames
+- `LICENSE` (this repository, MIT), `LICENSE-MiniMax-H3` (the base model's community licence), `NOTICE`
+
+## Base model and licence
+
+This is a LoRA for [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3) by MiniMax; it does nothing without
+their base weights, and its second stage was trained on a clip generated with them. The LoRA weights and the files in
+this repository are released under the MIT licence (`LICENSE`); use of the base model, and so of this LoRA with it, is
+subject to the MiniMax H3 Community License Agreement, included as `LICENSE-MiniMax-H3` together with the required
+`NOTICE`. Thanks to MiniMax for releasing H3, to Ostris for the training adapter, and to kohya-ss for musubi-tuner.

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assets/whitecat_orbit_step50.mp4

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+version https://git-lfs.github.com/spec/v1
+oid sha256:069aadce421011b19c73e4dbe7c4a84504b4531464074e173671a7238dae8ef4
+size 4185876

minimax_h3_orb360_cardspin_step50.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f94b53f1f65da7af9f411ffc38d986c3b5029236b8ee00ea172e3bcb91aac7cb
+size 596449368

prompts/cardspin_caption.txt

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+subject_definitions:
+<Subject 1> is the photograph shown in <Picture 1>, treated as a thin physical photo card standing in space. The printed image, its tones and grain, and the person or subject in it remain unchanged.
+<Picture 1> is the first-frame viewpoint of [Shot 1].
+
+summary:
+[reference generation] ORB360_CARDSPIN. The photograph from <Picture 1> turns as a thin physical card in front of a dark background: one full clockwise turn in 5.125000 seconds, while the portrait inside it reveals the side and the back of the sitter's head.
+
+retention_analysis:
+<Subject 1> (appears in [Shot 1]): fully_preserved - the photograph's printed image, tones and grain, and the person or subject in it are retained; only the card's orientation in space changes.
+<Picture 1> ([Shot 1] first frame and last frame): fully_preserved - the shot starts and ends exactly on this view.
+
+detailed_description:
+[Shot 1] The shot begins exactly on <Picture 1>. The camera makes one smooth clockwise 360-degree turn around the photograph, which behaves like a thin card. The printed portrait swings with the card: the sitter's face turns away into profile, the card goes edge-on as a thin vertical sliver with the nose and profile sticking out past its edge, then the back of the card shows the back of the sitter's head and hair, then the opposite profile passes through layered over the back of the head, and the front of the photograph returns. The dark background and the card's dark edge show at the sides while it turns. No cuts, no zoom.
+
+The video runs at 24 fps and has 124 frames; the full turn takes 5.125000 seconds (frame 0 to frame 123).
+At 0.000000 seconds (zero-based frame 0), the view is exactly <Picture 1>, the front of the photograph.
+At 1.000000 seconds (zero-based frame 24), the card is edge-on: a thin vertical sliver showing the sitter's right-facing profile, the nose sticking out past the edge.
+At 1.708333 seconds (zero-based frame 41), the back of the card faces the camera, showing the back of the sitter's head and hair.
+At 3.416667 seconds (zero-based frame 82), the back of the head still faces the camera as the card keeps turning.
+At 3.833333 seconds (zero-based frame 92), the opposite, left-facing profile passes through, layered over the back of the head.
+At 5.125000 seconds (zero-based frame 123), the view has returned exactly to <Picture 1>.
+
+overall_soundscape:
+N/A
+
+non_diegetic_music:
+N/A

prompts/orbit_realscene_caption.txt

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+subject_definitions:
+<Subject 1> is the exact same rigid subject shown in <Picture 1>. Its geometry, proportions, materials, colors, markings, and surface details remain unchanged.
+<Picture 1> is the first-frame viewpoint of [Shot 1].
+
+summary:
+[reference generation] ORB360_CW. A frozen-moment 360-degree orbit of <Subject 1> in the real environment shown in <Picture 1>, like a single instant stopped in time.
+
+retention_analysis:
+<Subject 1> (appears in [Shot 1]): fully_preserved - its geometry, proportions, materials, colors, markings and surface details are retained, and it stays completely frozen.
+<Picture 1> ([Shot 1] first frame and last frame): fully_preserved - the orbit starts and ends on this view, including its environment, weather and light.
+
+detailed_description:
+[Shot 1] The shot begins from <Picture 1>, with its exact environment, ground, background, weather and light. The camera performs exactly one smooth clockwise 360-degree orbit around the completely stationary <Subject 1>, at constant radius, constant elevation, constant focal length, constant speed, and constant framing, ending at the starting viewpoint. The subject remains perfectly rigid and stationary. The surrounding real scene stays in place in the world and is revealed consistently as the camera circles, continuing the same location, terrain and sky seen in <Picture 1>. Everything in the scene is frozen in time: falling snow, rain, dust and particles hang motionless in mid-air; fur, hair, feathers, grass, leaves, water and clouds do not move. No articulation, deformation, secondary motion, wind, zoom, dolly, camera roll, cuts, lighting changes, or scene changes.
+
+All four milestones below belong to the same uninterrupted [Shot 1], not separate shots. The video runs at 24 fps. Angles describe camera motion clockwise as viewed from above, relative to the starting camera azimuth; the subject itself does not rotate. The camera moves continuously at constant angular speed between these milestones, without pausing, reversing or completing extra turns.
+At 0.000000 seconds (zero-based frame 0), the camera has advanced 0 degrees clockwise from its starting azimuth; the viewpoint corresponds to <Picture 1>.
+At 1.708333 seconds (zero-based frame 41), the camera has advanced 120 degrees clockwise from its starting azimuth.
+At 3.416667 seconds (zero-based frame 82), the camera has advanced 240 degrees clockwise from its starting azimuth.
+At 5.125000 seconds (zero-based frame 123), the camera has advanced 360 degrees clockwise from its starting azimuth; the viewpoint corresponds to <Picture 1>.
+
+The entire subject is a single frozen three-dimensional scene throughout the shot. Every visible eyelid keeps its reference position: no blinking. Each eye keeps a fixed gaze relative to the head and never tracks the moving camera. Facial expression, mouth, head, hands, feet and body pose remain unchanged. Hair strands, clothing, ribbons, accessories and loose parts are rigidly fixed in the same positions. There is no breathing, sway, settling or secondary motion. Only the camera changes position. Camera radius, elevation, focal length and look-at point stay fixed. Lighting stays fixed in world space; normal viewpoint-dependent shading and reflections remain physically consistent.
+
+overall_soundscape:
+N/A
+
+non_diegetic_music:
+N/A