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
Commit History
10 days ago
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Release model card for FastH3 Trim
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12 days ago
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Add FastH3 inference contract (8-step DMD schedule)
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Add NVFP4 text encoder
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Add light int8 VAE (LynnReal 26-block decoder + Kijai int8-convrot overlay)
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Replace official VAE with the light int8 VAE
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Add transformer
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Add vae
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Add tokenizer
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Add scheduler
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Add processor
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Add audio_vae
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Add audio_scheduler
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Upload metadata.json with huggingface_hub
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Upload modular_model_index.json with huggingface_hub
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Upload model_index.json with huggingface_hub
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Upload README.md with huggingface_hub
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initial commit
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