Instructions to use FastVideo/stable-audio-open-1.0-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/stable-audio-open-1.0-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("FastVideo/stable-audio-open-1.0-Diffusers", torch_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: 626 Bytes
351f5e8 19ed812 351f5e8 | 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 | {
"_class_name": "StableAudioPipeline",
"_diffusers_version": "0.30.0",
"_fastvideo_converted_from": "stabilityai/stable-audio-open-1.0",
"transformer": [
"fastvideo.models.dits.stable_audio",
"StableAudioDiT"
],
"vae": [
"fastvideo.models.vaes.oobleck",
"OobleckVAE"
],
"conditioner": [
"fastvideo.models.encoders.stable_audio_conditioner",
"StableAudioMultiConditioner"
],
"text_encoder": [
"transformers",
"T5EncoderModel"
],
"tokenizer": [
"transformers",
"T5TokenizerFast"
],
"scheduler": [
"diffusers",
"CosineDPMSolverMultistepScheduler"
]
} |