Text-to-Video
Diffusers
Safetensors
MiniMaxH3ModularPipeline
video-generation
audio
fastvideo
bf16
pruned
Instructions to use FastVideo/FastVideo-FastH3-Trim-8-Step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastVideo-FastH3-Trim-8-Step 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-Trim-8-Step", 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 vae/diffusion_pytorch_model.safetensors from FastVideo/FastVideo-FastH3-Trim-8-Step: direct link, hf CLI and curl.
- Browser
- Download file 4.23 GB
-
https://huggingface.co/FastVideo/FastVideo-FastH3-Trim-8-Step/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://FastVideo/FastVideo-FastH3-Trim-8-Step/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/FastVideo/FastVideo-FastH3-Trim-8-Step/resolve/main/vae/diffusion_pytorch_model.safetensors
4.23 GB
- Xet hash:
- 4ec8bf14cc0f2eeb15048b83465609c597023ef60cc3a720a5abf80ece91038e
- Size of remote file:
- 4.23 GB
- SHA256:
- 73fc5a61caeba438633eb8f8efd3a57f4915adfa46731a1c991312c724a3b5cc
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