Instructions to use Runware/acestep-v15-xl-base-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-xl-base-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/acestep-v15-xl-base-diffusers", 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: 637 Bytes
c7e4c50 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"_class_name": "AceStepAudioTokenizer",
"_diffusers_version": "0.39.0.dev0",
"attention_bias": false,
"attention_dropout": 0.0,
"audio_acoustic_hidden_dim": 64,
"fsq_dim": 2048,
"fsq_input_levels": [
8,
8,
8,
5,
5,
5
],
"fsq_input_num_quantizers": 1,
"head_dim": 128,
"hidden_size": 2048,
"intermediate_size": 6144,
"layer_types": [
"sliding_attention",
"full_attention"
],
"num_attention_heads": 16,
"num_attention_pooler_hidden_layers": 2,
"num_key_value_heads": 8,
"pool_window_size": 5,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000,
"sliding_window": 128
}
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