Instructions to use diffusers-internal-dev/tiny-minimax-music3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/tiny-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("diffusers-internal-dev/tiny-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
File size: 282 Bytes
b587d00 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_class_name": "MiniMaxMusic3Transformer1DModel",
"_diffusers_version": "0.40.0.dev0",
"attention_head_dim": 8,
"condition_dim": 16,
"ff_inner_dim": 32,
"fourier_embedding_dim": 8,
"in_channels": 8,
"num_attention_heads": 2,
"num_layers": 2,
"rotary_dim": 4
}
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