Instructions to use diffusers-modular/minimax-h3-inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-modular/minimax-h3-inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-modular/minimax-h3-inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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# MiniMax-H3 — masked video and audio inpainting
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Modular Diffusers blocks that inapint videos with MiniMax-H3, inspired by and based on ComfyUI workflows created by Ablejones, Nekodificador, and drozbay.
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**No dedicated checkpoint, no adapter, no extra input channel**.
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# MiniMax-H3 — masked video and audio inpainting
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Modular Diffusers blocks that inapint videos with MiniMax-H3, inspired by and based on ComfyUI workflows created by **Ablejones, Nekodificador, and drozbay**.
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**No dedicated checkpoint, no adapter, no extra input channel**.
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