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
Download checkpoint_content.json from FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900: direct link, hf CLI and curl.
- Browser
- Download file 3.84 kB
-
https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900/resolve/main/checkpoint_content.json
- Command line
-
hf download hf://FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900/checkpoint_content.json
-
curl -L -o checkpoint_content.json https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-Synthetic-Step1900/resolve/main/checkpoint_content.json
3.84 kB
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