Instructions to use ZhengmingYu/DMAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZhengmingYu/DMAD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ZhengmingYu/DMAD") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
Model card: library_name minimax-h3 (download counting covers the subfolder safetensors) + diffusers tag
Browse files
README.md
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license_link: LICENSE
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base_model: MiniMaxAI/MiniMax-H3
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pipeline_tag: text-to-video
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library_name:
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tags:
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- text-to-audio-video
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- audio-video-generation
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- distillation
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license_link: LICENSE
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base_model: MiniMaxAI/MiniMax-H3
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pipeline_tag: text-to-video
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library_name: minimax-h3
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tags:
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- diffusers
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- text-to-audio-video
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- audio-video-generation
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- distillation
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