Instructions to use rooroo79/music-spectrogram-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rooroo79/music-spectrogram-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rooroo79/music-spectrogram-diffusion", 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
Download model_index.json from rooroo79/music-spectrogram-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 440 Bytes
-
https://huggingface.co/rooroo79/music-spectrogram-diffusion/resolve/main/model_index.json
- Command line
-
hf download hf://rooroo79/music-spectrogram-diffusion/model_index.json
-
curl -L -o model_index.json https://huggingface.co/rooroo79/music-spectrogram-diffusion/resolve/main/model_index.json
440 Bytes
| { | |
| "_class_name": "SpectrogramDiffusionPipeline", | |
| "_diffusers_version": "0.14.0.dev0", | |
| "continuous_encoder": [ | |
| "spectrogram_diffusion", | |
| "SpectrogramContEncoder" | |
| ], | |
| "decoder": [ | |
| "diffusers", | |
| "T5FilmDecoder" | |
| ], | |
| "melgan": [ | |
| "diffusers", | |
| "OnnxRuntimeModel" | |
| ], | |
| "notes_encoder": [ | |
| "spectrogram_diffusion", | |
| "SpectrogramNotesEncoder" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "DDPMScheduler" | |
| ] | |
| } | |