Instructions to use cvssp/audioldm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cvssp/audioldm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cvssp/audioldm", 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
Adding `safetensors` variant of this model
#9 opened over 1 year ago
by
SFconvertbot
class_labels should be provided when num_class_embeds > 0
👍 1
2
#7 opened almost 3 years ago
by
ctrlMarcio
Question regarding the pre-trained checkpoint
1
#1 opened about 3 years ago
by
soujanyaporia