Instructions to use siraxe/H3_slider_experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siraxe/H3_slider_experiments 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("siraxe/H3_slider_experiments") prompt = "H3_CAMERA_ARC_slider (+ 2.0 4.0 6.0)" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- lora
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- minimax-h3
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- diffusers
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pipeline_tag: text-to-video
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base_model: MiniMaxAI/MiniMax-H3
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pretty_name: h3 slider experiments
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- lora
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- minimax-h3
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- diffusers
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- speed
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- slider
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pipeline_tag: text-to-video
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base_model: MiniMaxAI/MiniMax-H3
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pretty_name: h3 slider experiments
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