Instructions to use wsddzj/audioldm-m-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wsddzj/audioldm-m-full with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wsddzj/audioldm-m-full", 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
- Xet hash:
- e12e8307373265c06e2e4d955eafda7fa661242a8e03d5a2b5cf808625189706
- Size of remote file:
- 501 MB
- SHA256:
- 3bc6b4b73d7683d09f746ca34546f6c20e4f26c1311ee701179b8703b2f0331b
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