Instructions to use SimpleTuner/MiniMax-Music-3-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimpleTuner/MiniMax-Music-3-Encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SimpleTuner/MiniMax-Music-3-Encoder", 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
File size: 379 Bytes
fce0d00 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"_class_name": "MiniMaxMusic3DAV",
"_diffusers_version": "0.38.0",
"channel_latent_channels": 64,
"decoder_hidden_dim": 1536,
"decoder_input_dim": 1024,
"encoder_dim": 64,
"encoder_latent_dim": 1024,
"encoder_rates": [
2,
4,
8,
8
],
"latent_channels": 128,
"sampling_rate": 44100,
"upsampling_ratios": [
8,
8,
4,
2
]
}
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