Instructions to use deathlegionteam/LEGION-Video-Gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deathlegionteam/LEGION-Video-Gen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deathlegionteam/LEGION-Video-Gen", 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
Upload config.json with huggingface_hub
Browse files- config.json +1 -4
config.json
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"HunyuanVideo15ForConditionalGeneration"
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],
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"model_type": "hunyuan_video",
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"description": "LEGION Video Generation — HunyuanVideo 1.5 based 8.3B parameter video generation model",
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"license": "apache-2.0",
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"library_name": "diffusers",
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"pipeline_tag": "text-to-video",
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"
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"paper_url": "https://arxiv.org/abs/2501.06924",
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"base_model": "hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v",
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"guider": [
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"diffusers",
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"ClassifierFreeGuidance"
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"HunyuanVideo15ForConditionalGeneration"
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],
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"model_type": "hunyuan_video",
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"license": "apache-2.0",
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"library_name": "diffusers",
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"pipeline_tag": "text-to-video",
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"base_model": "deathlegionteam/LEGION-Video-Gen",
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"guider": [
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"diffusers",
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"ClassifierFreeGuidance"
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