Instructions to use WarmBloodAban/Minimax_H3_LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WarmBloodAban/Minimax_H3_LoRAs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, 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("WarmBloodAban/Minimax_H3_LoRAs") prompt = "-" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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README.md
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- lora
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## Download model
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[Download](/WarmBloodAban/Minimax_H3_LoRAs/tree/main) them in the Files & versions tab.
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tags:
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- lora
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- diffusers
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- template:diffusion-lora
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- video
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- image-to-video
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widget:
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- output:
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url: images/ChatGPT Image 2026年9月18日 01_26_29.png
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## Download model
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[Download](/WarmBloodAban/Minimax_H3_LoRAs/tree/main) them in the Files & versions tab.
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