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-Dense-DataFree 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-Dense-DataFree 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-Dense-DataFree", 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
Download checkpoint_content.json from FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree/resolve/main/checkpoint_content.json
- Command line
-
hf download hf://FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree/checkpoint_content.json
-
curl -L -o checkpoint_content.json https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-Dense-DataFree/resolve/main/checkpoint_content.json
3.64 kB
| { | |
| "aggregate_sha256": "3f56129acb9749f2ae4e52bab176c09406bf027d68c6f020cf5ff99e651b1609", | |
| "checkpoint_root": "/mnt/lustre/vlm-wlsaidhi/fastvideo/outputs/minimax_h3_dmd2_sp4_fsdp32_v12_datafree_mixed_dense_fa4/inference/checkpoint-1000", | |
| "file_count": 17, | |
| "files": [ | |
| { | |
| "bytes": 9, | |
| "path": ".complete", | |
| "sha256": "37a40f08d8548dba289b9b0bb35bcf63b359f6d37ee86044ebc6b6da080b9ec1" | |
| }, | |
| { | |
| "bytes": 6210, | |
| "path": "metadata.json", | |
| "sha256": "a1ae1a4ec117b5bc79f61da4ee5d4003694f27dc6dfe55e9166b59d2b387e6b9" | |
| }, | |
| { | |
| "bytes": 546, | |
| "path": "transformer/config.json", | |
| "sha256": "74c11bff524336576096993cbfcdcdc2ef4fa2fa4409df693bdcbc6c666282ae" | |
| }, | |
| { | |
| "bytes": 5099797160, | |
| "path": "transformer/diffusion_pytorch_model-00001-of-00013.safetensors", | |
| "sha256": "c348c783f5192a229737ccc59909e42d8ff2fe0ad4fb45de9acbb491c495eef3" | |
| }, | |
| { | |
| "bytes": 5164580296, | |
| "path": "transformer/diffusion_pytorch_model-00002-of-00013.safetensors", | |
| "sha256": "67a3391d66a8e956d32629db01f949a6eb26dca8d2ef925d2c5cf093274904af" | |
| }, | |
| { | |
| "bytes": 5164580296, | |
| "path": "transformer/diffusion_pytorch_model-00003-of-00013.safetensors", | |
| "sha256": "b144d02163b3822ed552db189f32e8eba814ec74a820f9f4feb26b6a4d238b1e" | |
| }, | |
| { | |
| "bytes": 5164580288, | |
| "path": "transformer/diffusion_pytorch_model-00004-of-00013.safetensors", | |
| "sha256": "7c3ea22bac06745e7720317c7849ce7dc20738126aae1cb42cb61f6cb0121991" | |
| }, | |
| { | |
| "bytes": 5164580296, | |
| "path": "transformer/diffusion_pytorch_model-00005-of-00013.safetensors", | |
| "sha256": "aa1a32d7f9dcc9dd379b5f7b79e2ed401e3ba678e8c277ff914408eae87d0cca" | |
| }, | |
| { | |
| "bytes": 5164580296, | |
| "path": "transformer/diffusion_pytorch_model-00006-of-00013.safetensors", | |
| "sha256": "304e874c274a80e011c5fb4d2839e888079949f286f4876214535c59573e9df9" | |
| }, | |
| { | |
| "bytes": 5164580288, | |
| "path": "transformer/diffusion_pytorch_model-00007-of-00013.safetensors", | |
| "sha256": "4163c41eb6edb10f1aa3294012a0e791160137f6c819db37a50358270127f2c8" | |
| }, | |
| { | |
| "bytes": 5164580296, | |
| "path": "transformer/diffusion_pytorch_model-00008-of-00013.safetensors", | |
| "sha256": "030a13ba204091cdc60a0560641def946b44373834ec3bff5e59c4fcb2556333" | |
| }, | |
| { | |
| "bytes": 5164580288, | |
| "path": "transformer/diffusion_pytorch_model-00009-of-00013.safetensors", | |
| "sha256": "ac74b50180a152fefbd6d86309bc5dd8ea7176c40ce34417638ecbdef98de844" | |
| }, | |
| { | |
| "bytes": 5164580296, | |
| "path": "transformer/diffusion_pytorch_model-00010-of-00013.safetensors", | |
| "sha256": "14e63d452a1be31e7cdb13b4557c5f36d75123e06eae936f7f719eda468fefbd" | |
| }, | |
| { | |
| "bytes": 5164580296, | |
| "path": "transformer/diffusion_pytorch_model-00011-of-00013.safetensors", | |
| "sha256": "bb1e3ba9d88fbb80b1ab28c93cf89f3f24b6e9e12e35f760b88625fcf5b64200" | |
| }, | |
| { | |
| "bytes": 5164580280, | |
| "path": "transformer/diffusion_pytorch_model-00012-of-00013.safetensors", | |
| "sha256": "0c457dda4bc8e65778819a9a7eac0ccd7fcfa8ea192f832a62dd2f7b98db4079" | |
| }, | |
| { | |
| "bytes": 4335879160, | |
| "path": "transformer/diffusion_pytorch_model-00013-of-00013.safetensors", | |
| "sha256": "2030dfb05e4511be4d4f5f7eacc9f0dd79ae3d9cfc676397efd4ca349a28fa1c" | |
| }, | |
| { | |
| "bytes": 64489, | |
| "path": "transformer/diffusion_pytorch_model.safetensors.index.json", | |
| "sha256": "c607cf34a72d008ce098cc28d0faec654f13bdb0ff730ab337dfccefbe190d6d" | |
| } | |
| ], | |
| "schema_version": "fastvideo-checkpoint-content-identity-v1", | |
| "shard_count": 13 | |
| } | |