Text-to-Audio
Diffusers
Safetensors
AudioLDM2Pipeline
maestro
audio-generation
spectral-editor
audioldm2
Instructions to use AEmotionStudio/audioldm2-inpaint-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/audioldm2-inpaint-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/audioldm2-inpaint-models", 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
| { | |
| "_class_name": "AutoencoderKL", | |
| "_diffusers_version": "0.20.0.dev0", | |
| "act_fn": "silu", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 512 | |
| ], | |
| "down_block_types": [ | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D" | |
| ], | |
| "force_upcast": true, | |
| "in_channels": 1, | |
| "latent_channels": 8, | |
| "layers_per_block": 2, | |
| "norm_num_groups": 32, | |
| "out_channels": 1, | |
| "sample_size": 1024, | |
| "scaling_factor": 0.4110932946205139, | |
| "up_block_types": [ | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D" | |
| ] | |
| } | |