Instructions to use hf-internal-testing/tiny-StableAudioPipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-StableAudioPipeline with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-StableAudioPipeline", 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: 372 Bytes
ca508e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_class_name": "StableAudioDiTModel",
"_diffusers_version": "0.39.0.dev0",
"attention_head_dim": 4,
"cross_attention_dim": 4,
"cross_attention_input_dim": 4,
"global_states_input_dim": 8,
"in_channels": 3,
"num_attention_heads": 24,
"num_key_value_attention_heads": 2,
"num_layers": 2,
"out_channels": 3,
"sample_size": 4,
"time_proj_dim": 8
}
|