Instructions to use Runware/acestep-v15-base-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/acestep-v15-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-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: 482 Bytes
9f8de7a | 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 | {
"_class_name": "AutoencoderOobleck",
"_diffusers_version": "0.39.0.dev0",
"_name_or_path": "train_model/huggingface/models--ACE-Step--Ace-Step1.5/snapshots/19671f406d603126926c1b7e2adc169acbcade22/vae",
"audio_channels": 2,
"channel_multiples": [
1,
2,
4,
8,
16
],
"decoder_channels": 128,
"decoder_input_channels": 64,
"downsampling_ratios": [
2,
4,
4,
6,
10
],
"encoder_hidden_size": 128,
"sampling_rate": 48000
}
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