Instructions to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4 FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 2,031 Bytes
b2e1973 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | {
"schema_version": "fastvideo-fasth3-mlx-conversion-v1",
"published_repo_id": "FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree-MLX-INT4",
"source": {
"repo_id": "FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree",
"revision": "f624f08c6c279ab43534c003e556fc5b295b6558",
"checkpoint_step": 1000,
"attention": "dense",
"checkpoint_content_aggregate_sha256": "3f56129acb9749f2ae4e52bab176c09406bf027d68c6f020cf5ff99e651b1609",
"transformer_shards_verified": 13
},
"converter": {
"fastvideo_commit": "cf6a00b9be4675602126d6aeab902ad9a74810ea",
"script": "scripts/checkpoint_conversion/convert_minimax_h3_mlx.py",
"command": "python scripts/checkpoint_conversion/convert_minimax_h3_mlx.py --model-root <snapshot>/transformer --out <output> --formats 'int8 int6 int4'",
"mlx_version": "0.32.2",
"python_version": "3.12.13",
"hardware": "Apple M4 Max",
"unified_memory_bytes": 38654705664,
"combined_wall_seconds": 164.62,
"process_max_rss_bytes": 11317051392,
"peak_memory_footprint_bytes": 27108979504
},
"format": {
"conversion_seconds": 46.1,
"peak_mlx_gib": 14.8,
"weights_file": "mlx_h3_dit.safetensors",
"weights_bytes": 11532219083,
"weights_sha256": "dcee86c17197c621a0e3d3ba9541cb6ef5764cd0c258beb7b044fb12b217e948",
"manifest_file": "mlx_h3_dit.json",
"manifest_sha256": "25c89f37f53292c4abd8bbb70098eaad54783a1b1fc5f0f55ed779a8c85efb56",
"quantization": {
"mode": "affine",
"bits": 4,
"group_size": 64
},
"tensor_count": 1464,
"vsa_capable": false
},
"validation": {
"source_shard_size_and_sha256": "passed, 13 of 13",
"safetensors_header_open": "passed",
"manifest_quantization": "passed",
"adaln_cache_timesteps": 8,
"generation": "passed: 832x480, 124 frames, full H3 VAE",
"runtime_checkpoint_load": "passed for int8, int6, and int4",
"runtime_structure": "50 transformer blocks, 2 refiner blocks, 50 AdaLN block tables"
}
}
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