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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@@ -13,14 +13,14 @@ base_model: MiniMaxAI/MiniMax-H3
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pretty_name: h3 slider experiments
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widget:
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- output:
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url: vid/
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text: "
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- output:
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url: vid/w2.mp4
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text: "H3_SPEED_slider"
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- output:
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url: vid/
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text: "
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---
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pretty_name: h3 slider experiments
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widget:
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- output:
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url: vid/w3.mp4
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text: "H3_DETAIL_slider"
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- output:
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url: vid/w2.mp4
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text: "H3_SPEED_slider"
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- output:
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url: vid/w1.mp4
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text: "sun fog slider"
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---
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