Text-to-Video
Diffusers
Safetensors
MiniMax H3
video
audio
text-to-audio-video
distillation
dmd2
few-step
fastvideo
fasth3
preview
Instructions to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "attention_backend": "VIDEO_SPARSE_ATTN_H3", | |
| "base_model": "hf://MiniMaxAI/MiniMax-H3@9bfb6693f2cf6de171db46d1aa586f67d773a1da", | |
| "checkpoint_content_sha256": "932493fce3c32de6bb49e0d568ec493bec365a62b0e5a92262ab73a1619f0dda", | |
| "checkpoint_metadata_sha256": "d93f3974fa6a916a0989327b8861c0fb9f5c028b33f95e65c45925ea49dcdbfe", | |
| "checkpoint_step": 1900, | |
| "data_commit": "b92be606a439c67006220459df236d18c48fd38c3e11f4771d21fe0d078a3371", | |
| "dmd_denoising_steps": [ | |
| 999, | |
| 749, | |
| 500, | |
| 250 | |
| ], | |
| "fastvideo_commit": "6ac300b5a7c472e3a139f1cb3ff7a03b58f3e26e", | |
| "lineage_parent_run_id": "20260823T191211Z-v11-dataonly-sp2-initial", | |
| "model_id": "FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900", | |
| "schema_version": "fasth3-checkpoint-provenance-v1", | |
| "source_config_sha256": "b1e0bd319ba7dddb8ff0a9db9bcdb3182b9d645c43fe3fcce60d678a092ae8c5", | |
| "student_dtype": "bfloat16", | |
| "student_tensor_bytes": 70099502592, | |
| "student_tensor_count": 688, | |
| "training_mode": "data-only", | |
| "training_run_id": "20260825T003627Z-v11-dataonly-sp2-fastgen-fix", | |
| "vsa_sparsity": 0.9, | |
| "vsa_tile_size": 64, | |
| "wandb_url": "https://wandb.ai/wlsaidhi/h3-dmd2-vsa/runs/arg07fnt" | |
| } | |