Video-to-Video
Diffusion Single File
MiniMax H3
English
lora
character-swap
video-editing
ref2va
comfyui
ai-toolkit
Instructions to use akatz-ai/MiniMax-H3-Character-Swap-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use akatz-ai/MiniMax-H3-Character-Swap-LoRA with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download training/v1.5/run-summary.json from akatz-ai/MiniMax-H3-Character-Swap-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/akatz-ai/MiniMax-H3-Character-Swap-LoRA/resolve/main/training/v1.5/run-summary.json
- Command line
-
hf download hf://akatz-ai/MiniMax-H3-Character-Swap-LoRA/training/v1.5/run-summary.json
-
curl -L -o run-summary.json https://huggingface.co/akatz-ai/MiniMax-H3-Character-Swap-LoRA/resolve/main/training/v1.5/run-summary.json
1.9 kB
| { | |
| "schema_version": 1, | |
| "public_name": "H3 Character Swap V1.5", | |
| "release_version": "1.5", | |
| "internal_checkpoint": "V2-1000", | |
| "filename": "h3_character_swap_v1.5.safetensors", | |
| "size_bytes": 155110792, | |
| "sha256": "8f2c3c3eba161df8d0c6099598b4730f641f5ce01e04cd16d2427cff8a35218f", | |
| "tensor_count": 416, | |
| "initialized_from": { | |
| "release": "H3 Character Swap V1", | |
| "repo": "akatz-ai/MiniMax-H3-Character-Swap-LoRA", | |
| "filename": "h3_character_swap_pro4500_1000.safetensors", | |
| "sha256": "4b2a3f420ae804c0aa3422761ff84dbd1bf52eef6900ffab6d2e66df63cb4e79" | |
| }, | |
| "additional_optimizer_steps": 1000, | |
| "original_configured_step_budget": 2250, | |
| "stop_reason": "Stopped after the requested 1000 additional optimizer updates; checkpoint and recovery state verified.", | |
| "embedded_metadata_note": "new_v2_optimizer_steps=2250 describes the original budget; training_info.step=1000 and the final stop receipt record completed updates. Original checkpoint bytes are retained.", | |
| "rank": 16, | |
| "alpha": 16, | |
| "excluded_module_patterns": [ | |
| "adaln_proj" | |
| ], | |
| "optimizer": "adamw8bit", | |
| "learning_rate": 1e-05, | |
| "precision": "bf16", | |
| "guidance_loss_enabled": true, | |
| "guidance_loss_target": 3.5, | |
| "training_adapter": { | |
| "repo": "ostris/minimax_h3_training_adapter", | |
| "revision": "2d793bfb8f215e68f0e2251623c262c744991e2a", | |
| "filename": "minimax_h3_ref2va_training_adapter_v3.safetensors", | |
| "bytes": 310168552, | |
| "sha256": "ac9e6994c91e0bb2b84ea6fd5e63c5f9e43b4d1abadc3723bb25f30b87adfb34", | |
| "checked_at": "2026-10-13T09:20:52.812478+00:00" | |
| }, | |
| "training_data_summary": "Moving video targets, facial crops, V1 replay and preservation video/audio. The public V1 dataset does not contain the entire V1.5 training mix.", | |
| "inference_note": "Use V1.5 in place of V1, not stacked on top of V1. The separate FL2V Turbo adapter is part of the tested tool recipe." | |
| } | |