Instructions to use pinecoresystems/MiniMax-Music3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pinecoresystems/MiniMax-Music3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pinecoresystems/MiniMax-Music3", 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
Mirror condition_encoder/config.json
Browse files
condition_encoder/config.json
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{
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"_class_name": "MiniMaxMusic3ConditionEncoder",
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"_diffusers_version": "0.40.0.dev0",
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"condition_hidden_dim": 4096,
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"input_hop_length": 960,
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"input_sampling_rate": 24000,
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"num_condition_layers": 8,
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"out_dim": 2048,
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"output_hop_length": 512,
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"output_sampling_rate": 44100
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}
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