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[AudioLDM] Update docs to use updated ckpt #3240

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Apr 26, 2023
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[AudioLDM] Update docs to use updated ckpt #3240

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[AudioLDM] Update docs to use updated ckpt
Apr 26, 2023
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14 changes: 8 additions & 6 deletions docs/source/en/api/pipelines/audioldm.mdx
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Expand Up @@ -25,14 +25,14 @@ This pipeline was contributed by [sanchit-gandhi](https://huggingface.co/sanchit

## Text-to-Audio

The [`AudioLDMPipeline`] can be used to load pre-trained weights from [cvssp/audioldm](https://huggingface.co/cvssp/audioldm) and generate text-conditional audio outputs:
The [`AudioLDMPipeline`] can be used to load pre-trained weights from [cvssp/audioldm-s-full-v2](https://huggingface.co/cvssp/audioldm-s-full-v2) and generate text-conditional audio outputs:

```python
from diffusers import AudioLDMPipeline
import torch
import scipy

repo_id = "cvssp/audioldm"
repo_id = "cvssp/audioldm-s-full-v2"
pipe = AudioLDMPipeline.from_pretrained(repo_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

Expand All @@ -56,7 +56,7 @@ Inference:
### How to load and use different schedulers

The AudioLDM pipeline uses [`DDIMScheduler`] scheduler by default. But `diffusers` provides many other schedulers
that can be used with the AudioLDM pipeline such as [`PNDMScheduler`], [`LMSDiscreteScheduler`], [`EulerDiscreteScheduler`],
that can be used with the AudioLDM pipeline such as [`PNDMScheduler`], [`LMSDiscreteScheduler`], [`EulerDiscreteScheduler`],
[`EulerAncestralDiscreteScheduler`] etc. We recommend using the [`DPMSolverMultistepScheduler`] as it's currently the fastest
scheduler there is.

Expand All @@ -68,12 +68,14 @@ method, or pass the `scheduler` argument to the `from_pretrained` method of the
>>> from diffusers import AudioLDMPipeline, DPMSolverMultistepScheduler
>>> import torch

>>> pipeline = AudioLDMPipeline.from_pretrained("cvssp/audioldm", torch_dtype=torch.float16)
>>> pipeline = AudioLDMPipeline.from_pretrained("cvssp/audioldm-s-full-v2", torch_dtype=torch.float16)
>>> pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config)

>>> # or
>>> dpm_scheduler = DPMSolverMultistepScheduler.from_pretrained("cvssp/audioldm", subfolder="scheduler")
>>> pipeline = AudioLDMPipeline.from_pretrained("cvssp/audioldm", scheduler=dpm_scheduler, torch_dtype=torch.float16)
>>> dpm_scheduler = DPMSolverMultistepScheduler.from_pretrained("cvssp/audioldm-s-full-v2", subfolder="scheduler")
>>> pipeline = AudioLDMPipeline.from_pretrained(
... "cvssp/audioldm-s-full-v2", scheduler=dpm_scheduler, torch_dtype=torch.float16
... )
```

## AudioLDMPipeline
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