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
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Download README.md from siraxe/H3_slider_experiments: direct link, hf CLI and curl.
- Browser
- Download file 731 Bytes
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https://huggingface.co/siraxe/H3_slider_experiments/resolve/main/README.md
- Command line
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hf download hf://siraxe/H3_slider_experiments/README.md
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curl -L -o README.md https://huggingface.co/siraxe/H3_slider_experiments/resolve/main/README.md
731 Bytes
| language: | |
| - en | |
| tags: | |
| - text-to-audio | |
| - lora | |
| - minimax-h3 | |
| - diffusers | |
| - speed | |
| - slider | |
| - detail | |
| pipeline_tag: text-to-video | |
| base_model: MiniMaxAI/MiniMax-H3 | |
| pretty_name: h3 slider experiments | |
| widget: | |
| - output: | |
| url: vid/w5.mp4 | |
| text: "H3_CAMERA_ARC_slider (+ 2.0 4.0 6.0)" | |
| - output: | |
| url: vid/w3.mp4 | |
| text: "H3_DETAIL_slider" | |
| - output: | |
| url: vid/w2.mp4 | |
| text: "H3_SPEED_slider" | |
| - output: | |
| url: vid/w4.mp4 | |
| text: "H3_SMEAR_slider , +12 vs -12" | |
| - output: | |
| url: vid/w1.mp4 | |
| text: "sun fog slider" | |
| <Gallery /> | |
| H3 experimental slider tests | |
| No specific prompt needed , describe effect as it and slider lora will make it pronounced | |
| Provided as is , pruned rank4 versions might be cleaner at higher values |